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Economic Growth Good › 2ACs › 2AC – Growth Sustainable

Growth is sustainable – answers environmental and other warrants – decoupling, dematerialization, innovation, and tech solve environmental/resource concerns and Jevons Rebound is wrong – government regulation and fiscal policy solve financialization and inequality warrants

McAfee 19—(principal research scientist and codirector of the Initiative on the Digital Economy at MIT, PHD in business administration from Harvard, MS in mechanical engineering from MIT, unrelated to the other McAfee). McAfee, Andrew. 2019. More from Less: The Surprising Story of How We Learned to Prosper Using Fewer Resources—and What Happens Next. Scribner.

What’s behind the broad and deep dematerialization of the American economy? Why are we now post-peak in our consumption of so many resources? In the next chapters I’ll present my explanation of the causes of dematerialization. First, though, I want to give a short explanation of what the causes are not. In particular, I want to show that the CRIB strategies born around Earth Day and promoted since then for reducing our planetary footprint—consume less, recycle, impose limits, and go back to the land—have not been important contributors to the dematerialization we’ve seen. Since Earth Day, we have demonstrably not consumed much less or gone back to the land in large numbers. We have recycled a lot, but this fact is irrelevant because recycling is a separate phenomenon from dematerialization. Much more relevant than recycling are the limits we’ve imposed in a couple of areas. The history of these limits is instructive because it helps us separate great ideas (limits on pollution and hunting animals) from truly terrible ones (limits on family size). All, Consuming The C part of the CRIB strategy—a plea for us to consume less for the planet’s sake—has largely fallen on deaf ears. To see this, let’s look at change in the real GDP of the United States. It grew by an average of 3.2 percent per year between the end of World War II and Earth Day. From 1971 to 2017, it grew by an annual average of 2.8 percent. Population growth also slowed down after the postwar baby boom, but it remained positive. America’s population increased by an average of 1.5 percent a year from 1946 to 1970, and by 1 percent annually from 1971 to 2016. So while we have slowed down some, we certainly haven’t come close to embracing degrowth in our population or consumption. But the American economy has changed significantly since Earth Day and has become relatively less oriented around making and building things. Services, ranging from haircuts to insurance policies to concerts, now make up a much larger share of the economy than they did in 1970. US personal consumption of services has risen from 30 percent of GDP in 1970 to 47 percent in 2017. So, has the decline in resource use come about because we don’t make or consume as many products as we used to? No. While it’s true that products have been declining in relative terms (in other words, as a percentage of total GDP) compared to services, our total consumption of products has still been increasing in absolute terms. So has our industrial production—the total amount of things made in America. What’s more, the United States has not recently shifted away from “heavy” manufacturing. We still make lots of vehicles, machinery, and other big-ticket items, just as we used to. But we don’t make them the same way we used to. We now make them using fewer resources. To see this, let’s add a line showing US industrial production to our graph from the previous chapter of GDP and total metal consumption. This updated chart makes clear that the country hasn’t stopped producing things. Instead, America’s manufacturers have learned to produce more things from less metal. So to summarize, growth of consumption has in some cases slowed down in recent years. But growth in resource use has done much more than slow down—it has reversed course and is now generally negative. We have not as a society embraced degrowth. Instead, we’ve done something far stranger and more profound: we’ve decoupled growth—in consumption, prosperity, and our economy—from resource use. Early in the Industrial Era, the French diplomat Alexis de Tocqueville published his 1835 book, Democracy in America. One of the first major investigations into the character of the then-young country, it remains one of the best.I De Tocqueville observed almost two centuries ago that the people of the United States liked their things: “In America, the passion for material well-being… is general.… Minds are universally preoccupied with meeting the body’s every need and attending to life’s little comforts.” What’s new is that providing for our needs and comforts now requires fewer materials, not more. Recycling: Big, and Beside the Point Recycling is big business: 47 percent, 33 percent, 68 percent, and 49 percent of all the tonnage of aluminum, copper, lead, and iron and steel (respectively) consumed in the United States in 2015 came from scrap metal rather than ore taken from the earth. Similarly, almost 65 percent of paper products came from recycled newspapers, pizza boxes, and so on rather than from felled trees. Yet recycling is irrelevant for dematerialization. Why? Because recycling is about where resource-producing factories get their inputs, while dematerialization is about what’s happened to total demand for their outputs. Paper mills, for example, get their raw material from two main sources: recycling centers and forests. American consumption of output from all paper mills combined has been declining since 1990, the year of peak paper in the United States. This decline is purely a matter of how much total demand there is for paper; it has no direct relationship to the amount of recycling taking place. But is there any indirect relationship? How much would our total consumption of resources such as paper or steel change without recycling? It’s impossible to answer with certainty, but my intuition is that if recycling didn’t exist, our total consumption of resources such as aluminum, copper, iron, and steel would be declining even more quickly. This seems counterintuitive; the conclusion is supported by a simple chain of reasoning. Recycling metals makes economic sense exactly because it’s cheaper to melt down and reuse scrap than it is to dig out and process ore. Without this scrap, a ton of metal would probably cost more, all other things being equal. And as a general rule, we use less of a thing when it costs more. So it seems most likely to me that we’d use less metal overall in a hypothetical zero-recycling economy than we do in our actual enthusiastic-about-scrap-metal-recycling economy. This does not mean that I think metal recycling is bad. I think it’s great, since it gives us cheaper metal products and reduces total greenhouse gas emissions (since it takes much less energy to obtain metal from scrap than from ore). But recycling, whatever its merits, is not part of the dematerialization story. It’s a different story. Back to the Land Is Bad for the Land The back-to-the-land movement is a fascinating chapter in the history of American environmentalism, but a largely insignificant one. There were simply never enough homesteaders and others who turned away from modern, technologically sophisticated life to make much of a difference. Which is a good thing for the environment. As Jeffrey Jacob documents in his book New Pioneers, the back-to-the-land movement in the United States began in the mid-1960s and continued into the next decade. According to one estimate, as many as 1 million North American back-to-the-landers were living on small farms by the end of the 1970s. This, though, was a weak current against the strong tide of urban growth; the number of American city dwellers increased by more than 17 million between 1970 and 1980. Going back to the land might have been widely discussed, but it was comparatively rarely practiced. We should be thankful for this because homesteading is not great for the environment, for two reasons. First, small-scale farming is less efficient in its use of resources than massive, industrialized, mechanized agriculture. To get the same harvest, homesteaders use more land, water, and fertilizer than do “factory farmers.” Farms of less than one hundred acres, for example, grow 15 percent less corn per acre than farms with more than a thousand acres. And bigger farms get better faster. Between 1982 and 2012 farms under one hundred acres grew their total factor productivity by 15 percent, whereas farms over a thousand acres grew theirs by 51 percent. So more homesteaders would have meant more land under cultivation, more water and fertilizer used, and so on. Second, rural life is less environmentally friendly than urban or suburban dwelling. City folk live in high-density, energy-efficient apartments and condos, travel only short distances for work and errands, and frequently use public transportation. None of these things is true of country living. As economist Edward Glaeser summarizes, “If you want to be good to the environment, stay away from it. Move to high-rise apartments surrounded by plenty of concrete.… Living in the country is not the right way to care for the Earth. The best thing that we can do for the planet is build more skyscrapers.” And if homesteaders decide not only to ignore Glaeser’s advice but also to leave modernity further behind and heat their homes with coal or wood, they do still more environmental harm. Coal home furnaces create lots of atmospheric pollution, much more than comes from other kinds of fuel. Poland, for example, today has 80 percent of all homes in Europe that burn coal, and thirty-three of the Continent’s fifty most polluted cities. And burning wood means chopping down trees. A lot of them. It’s almost certainly the case that the English turned to coal for home heating in the middle of the sixteenth century because they’d cut down such a huge percentage of their trees that the price of wood skyrocketed. So if we care about the environment, we should probably be glad that the back-to-the-land movement stalled out, and that industrial-scale, high-yield agriculture has become the norm. A comprehensive review published in Nature Sustainability in 2018 concluded, “The data… do not suggest that environmental costs are generally larger for [high-yield] farming systems.… If anything, positive associations—in which high-yield, land-efficient systems also have lower costs in other dimensions—appear more common.” Imposing Limits: The Worst Idea, and the Best One Of the four elements of the CRIB strategy, the drive to impose limits has by far the most checkered history. It yielded both the most harmful strategies, and the most helpful ones. The Population Implosion In 1979 the government of the People’s Republic of China announced its new family planning policy, which soon became known as the one-child policy. It was enacted despite the steady decline in the country’s birth rate throughout the 1970s. But after reading Limits to Growth, A Blueprint for Survival, and other books limning the looming dangers of unchecked population expansion, the missile scientist Song Jian came to believe that even faster birth rate reductions were required. He became the architect of the new policy, the main effect of which was to limit ethnic Han Chinese families to a single child. Exceptions to this restriction included giving some couples the right to a second child if their first was a girl, but the one-child policy soon became a central fact of Chinese family life. It is hard to see it in a positive light. After the policy was officially abandoned in late 2015, journalist Barbara Demick wrote its unflattering obituary: “Family planning became a powerful bureaucracy, with officials who terrorized parents. They beat and burned down the houses of people who violated the family-planning limits. They snatched over-quota baby girls from the arms of their mothers and gave them to orphanages, which in turn put them up for adoption, earning a three-thousand-dollar ‘donation’ for each baby.” The Chinese government maintains that approximately 400 million births were prevented by the one-child policy, but this is probably a large overestimate. As the economist Amartya Sen points out, “The additional contribution of coercion to reducing fertility in China is by no means clear, since compulsion was superimposed on a society that was already reducing its birth rate.” In their 2013 essay “How Will History Judge China’s One-Child Policy?” the demographers Wang Feng, Yong Cai, and Baochang Gu compared the policy unfavorably to two of their country’s great twentieth-century convulsions: the Cultural Revolution and the Great Leap Forward. They wrote, “While those grave mistakes both cost tens of millions of lives, the harms done were relatively short-lived and were corrected quickly afterward. The one-child policy, in contrast, will surpass them in impact by its role in creating a society with a seriously undermined family and kin structure, and a whole generation of future elderly and their children whose well-being will be seriously jeopardized.” History, in short, will judge this government-imposed limit on family size harshly.II Rational Restrictions Imposing limits on family size is a terrible idea for reasons both practical and moral. But it’s an excellent idea to impose limits on pollution, and on hunting some animals and selling products that come from their bodies. Such restrictions have yielded the great triumphs of the conservation and environmental movements in America and other countries. In 1970, the same year as the original Earth Day festival, the United States established the federal Environmental Protection Agency and made major amendments to 1963’s Clean Air Act. This was the start of a cascade of laws and regulations aimed at reducing pollution and other environmental harms. These have worked amazingly well. For example, atmospheric levels of sulfur dioxide in the United States have dropped to levels not seen since the first years of the twentieth century, and other kinds of air pollution have also dropped sharply. From 1980 to 2015, total emissions of six principal air pollutants decreased by 65 percent. As lead was banned from paint and gasoline, the concentration of that element in the blood of young children dropped by more than 80 percent between 1976 and 1999. Because lead retards brain development during youth, these declines are tremendously important. According to one study, American children in 1999 had IQs that were on average 2.2 to 4.7 points higher than they would have been had lead concentrations remained at their 1970 levels. More work certainly remains, but thanks to the limits imposed on pollutants, America’s soil, air, and water are all much cleaner than they were on Earth Day. The conservationists who grew concerned in the early years of the twentieth century about what hunting was doing to the populations of many animals were the predecessors of Earth Day’s environmentalists. Conservationists were spurred to action by the shocking extinction of the passenger pigeon. That such an abundant bird could be eradicated stunned many and spurred new laws restricting trade in animal products. The first of these was the Lacey Act, passed by Congress in 1900 and named for John Lacey, a Republican representative from Iowa. As he said during debate on the bill, “The wild pigeon, formerly in flocks of millions, has entirely disappeared from the face of the earth. We have given an awful exhibition of slaughter and destruction, which may serve as a warning to all mankind. Let us now give an example of wise conservation of what remains of the gifts of nature.” The Lacey Act and its successors imposed three kinds of limits on taking and consuming animals. First, hunting of some animals was fully banned. Protected species include the sea otter, which was protected by a 1911 international moratorium; the snowy egret, which was ruthlessly hunted for its gorgeous plumes until passage of the Weeks-McLean Law Act in 1913; and dolphins and manatees, which were sheltered by 1972’s Marine Mammal Protection Act. Second, many limits have been imposed on when and where animals can be hunted. Sport and food hunting are illegal in most national parks, for example, and duck, bear, deer, and many other animals have well-defined hunting seasons. Third, bans have been imposed on the commercial trade in many animal products. The most sweeping of these is probably the nationwide ban on the sale of hunted meat. You may see venison or bison meat at a butcher’s counter or on a menu in America, but it always comes from a ranch, not a hunt. These imposed limits have brought many iconic American animals back from the brink of extinction. North America now has more than half a million bison, for example, and over three thousand sea otters live off the coast of Northern California. Some previously threatened animals have come back so well that they’re now widely considered pests. People in many American neighborhoods today feel that there are too many white-tailed deer, Canada geese, and beaver. The story of dematerialization is not the story of following the CRIB strategies. Except for the excellent idea of imposing limits on polluting and pursuing animals, these strategies were ignored (we didn’t embrace degrowth and stop consuming), abandoned (we stopping going back to the land), irrelevant (dematerialization has nothing to do with recycling), or deeply misguided (China’s attempt to limit family size was a huge mistake). So how did we finally start getting more from less? How did we become post-peak in our use of so many resources? The next three chapters will take up this critical question. CHAPTER 7 What Causes Dematerialization? Markets and Marvels The triumph of the industrial arts will advance the cause of civilization more rapidly than its warmest advocates could have hoped. —Charles Babbage, The Exposition of 1851; or, Views of the Industry, the Science, and the Government of England, 1851 If CRIB strategies aren’t responsible for the large-scale dematerialization of the American economy that has taken place since Earth Day, then what is? How have we got more from less? I believe that four main forces are responsible, and that it’s helpful to think of them as two pairs. In this chapter we’ll look at the first pair, then take up the second in chapter 9. Capitalism and technological progress are the first pair of forces driving dematerialization. This statement will come as a surprise to many, and for good reason. After all, it’s exactly this combination that caused us to massively increase our resource consumption throughout the Industrial Era. As we saw in chapter 3, the ideas of William Jevons and Alfred Marshall point to the distressing conclusion that capitalism and tech progress always lead to more from more: more economic growth, but also more resource consumption. So what changed? How are capitalism and tech progress now getting us more from less? To get answers to these important questions, let’s start by looking at a few recent examples of dematerialization. Fertile Farms America has long been an agricultural juggernaut. In 1982, after more than a decade of steady expansion due in part to rising grain prices, total cropland in the country stood at approximately 380 million acres. Over the next ten years, however, almost all of this increase was reversed. So much acreage was abandoned by farmers and given back to nature that cropland in 1992 was almost back to where it had been almost twenty-five years before. This decline had several causes, including falling grain prices, a severe recession, over-indebted farmers, and increased international competition. A final factor, though, was the ability to get ever-more corn, wheat, soybeans, and other crops from the same acre of land, pound of fertilizer and pesticide, and gallon of water. The material productivity of agriculture in the United States has improved dramatically in recent decades, as we saw in chapter 5. Between 1982 and 2015 over 45 million acres—an amount of cropland equal in size to the state of Washington—was returned to nature. Over the same time potassium, phosphate, and nitrogen (the three main fertilizers) all saw declines in absolute use. Meanwhile, the total tonnage of crops produced in the country increased by more than 35 percent. As impressive as this is, it’s dwarfed by the productivity improvements of American dairy cows. In 1950 we got 117 billion pounds of milk from 22 million cows. In 2015 we got 209 billion pounds from just 9 million animals. The average milk cow’s productivity thus improved by over 330 percent during that time. Thin Cans Tin cans are actually made of steel coated with a thin layer of tin to improve corrosion resistance. They’ve been used since the nineteenth century to store food. Starting in the 1930s, they began also to be used to hold beer and soft drinks.I In 1959 Coors pioneered beer cans made of aluminum, which is much lighter and more corrosion resistant than steel. Royal Crown Cola followed suit for soda five years later. As Vaclav Smil relates, “A decade later steel cans were on the way out, and none of them have been used for beer since 1994 and for soft drinks since 1996.… At 85 g the first aluminum cans were surprisingly heavy; by 1972 the weight of a two-piece can dropped to just below 21 g, by 1988 it was less than 16 g, a decade later it averaged 13.6 g, and by 2011 it was reduced to 12.75 g.” Manufacturers accomplished these reductions by making aluminum cans’ walls thinner, and by making the sides and bottom from a single sheet of metal so that only one comparatively heavy seam was needed (to join the top to the rest of the can). Smil points out that if all beverage cans used in 2010 weighed what they did in 1980, they would have required an extra 580,000 tons of aluminum. And aluminum cans kept getting lighter. In 2012 Ball packaging introduced into the European market a 330 ml can that held 7.5 percent less than the US standard, yet at 9.5 g weighed 25 percent less. Gone Gizmos In 2014 Steve Cichon, a “writer, historian, and retired radio newsman in Buffalo, NY,” paid $3 for a large stack of front sections of the Buffalo News newspaper from the early months of 1991. On the back page of the Saturday, February 16, issue was an ad from the electronics retailer Radio Shack. Cichon noticed something striking about the ad: “There are 15 electronic gimzo type items on this page.… 13 of the 15 you now always have in your pocket.” The “gizmo type items” that had vanished into the iPhone Cichon kept in his pocket included a calculator, camcorder, clock radio, mobile telephone, and tape recorder. While the ad didn’t include a compass, camera, barometer, altimeter, accelerometer, or GPS device, these, too, have vanished into the iPhone and other smartphones, as have countless atlases and compact discs. The success of the iPhone was almost totally unanticipated. A November 2007 cover story in Forbes magazine touted that the Finnish mobile phone maker Nokia had over a billion customers around the world and asked, “Can anyone catch the cell phone king?” Yes. Apple sold more than a billion iPhones within a decade of its June 2007 launch and became the most valuable publicly traded company in history. Nokia, meanwhile, sold its mobile phone business to Microsoft in 2013 for $7.2 billion to get “more combined muscle to truly break through with consumers,” as the Finnish company’s CEO Stephen Elop said at the time of the deal. It didn’t work. Microsoft sold what remained of Nokia’s mobile phone business and brand to a subsidiary of the Taiwanese electronics manufacturer Foxconn for $350 million in May of 2016. Radio Shack filed for bankruptcy in 2015, and again in 2017. From Peak Oil to… Peak Oil In 2007 US coal consumption reached a new high of 1,128 million short tons, over 90 percent of which was burned to generate electricity. Total coal use had increased by more than 35 percent since 1990, and the US Energy Information Administration (the official energy statisticians of the US government) forecast further growth of up to 65 percent by 2030. Also in 2007 the US Government Accountability Office (GAO), a federal agency known as “the congressional watchdog,” published a report with an admirably explanatory title: “Crude Oil: Uncertainty about Future Oil Supply Makes It Important to Develop a Strategy for Addressing a Peak and Decline in Oil Production.” It took seriously the idea of “peak oil,” a phrase coined in 1956 by M. King Hubbert, a geologist working for Shell Oil. As originally conceived, peak oil referred to the maximum amount of oil that we could annually produce for all of humanity’s needs. The first oil wells pumped out the crude oil that was closest to the earth’s surface or otherwise easiest to access. As those wells dried up, we had to drill deeper ones, both on land and at sea. As the world’s economies kept growing, so did total demand for oil, which kept getting harder and harder to obtain. Peak oil captured the idea that despite our best efforts and ample incentive, we would come to a time after which we would only be able to extract less and less oil year after year from the earth. Most of the estimates summarized in the GAO report found that peak oil would occur no later than 2040. The report did not mention fracking, which in retrospect looks like a serious omission. Fracking is short for “hydraulic fracturing” and is a means of obtaining oil and natural gas from rock formations lying deep underground. It uses a high-pressure fluid to cause fractures in the rock, through which oil and gas can flow and be extracted. The United States and other countries have long been known to have huge reserves of hydrocarbons in deep rock formations, which are often called shales. Companies had been experimenting with fracking to get at them since the middle of the twentieth century, but had made little progress. In 2000 fracking accounted for just 2 percent of US oil production. That figure began to increase quickly right around the time of the GAO report. Not because of any single breakthrough, but instead because the suite of tools and techniques needed for profitable fracking had all improved enough. A gusher of shale oil and gas ensued. Thanks to fracking, US crude oil production almost doubled between 2007 and 2017, when it approached the benchmark of 10 million barrels per day. By September of 2018 America had surpassed Saudi Arabia to become the world’s largest producer of oil. American natural gas production, which had been essentially flat since the mid-1970s, jumped by nearly 43 percent between 2007 and 2017. As a result of the fracking boom the United States has experienced peak coal rather than peak oil. And the peak in coal is not in total annual supply, but instead in demand. Fracking made natural gas cheap enough that it became preferred over coal for much electricity generation. By 2017 total US coal consumption was down 36 percent from its 2007 high point. The phrase peak oil is still around, but, as is the case with coal, it usually no longer refers to supply. As a 2017 Bloomberg headline put it, “Remember Peak Oil? Demand May Top Out Before Supply Does.” Even though the extra supply from fracking has helped push down oil and gas prices, many observers now believe that energy from other sources—the sun, wind, and the nuclei of uranium atoms—is getting cheaper faster and becoming much more widely available. So much so that, as a 2018 article in Fortune about the future of oil hypothesized, “This wouldn’t be just another oil-price cycle, a familiar roller coaster in which every down is followed by an up. It would be the start of a decades-long decline of the Oil Age itself—an uncharted world in which… oil prices might be ‘lower forever.’ ” Analysts at Shell, the company from which the phrase peak oil originated, now estimate that global peak oil demand might come as soon as 2028. Taking Stock of Rolling Stock My friend Bo Cutter started his career in 1968 working for Northwest Industries, a conglomerate that owned the Chicago and North Western Railway. One of his first assignments was to help a team tasked with solving a problem that sounds odd to modern ears: figuring out where CNW’s railcars were. These cars are massive metal assemblies, each weighing thirty tons or more. In the late 1960s CNW owned thousands of them, representing a huge commitment of both material and money. Across the railroad industry, the rule of thumb then was that about 5 percent of a company’s railcars moved on any given day. This was not because the other 95 percent needed to rest. It was because their owners didn’t know where they were. CNW owned thousands of miles of track in places as far from Chicago as North Dakota and Wyoming. Its rolling stock (as locomotives and railcars are called) could also travel outside the company’s network on tracks owned by other railroads. So these assets could be almost anywhere in the country. When the railcars weren’t moving, they sat in freight yards. At the time Cutter started his job, freight yards didn’t keep up-to-date records of the idle rolling stock they contained because, in the days before widespread digital computers, sensors, and networks, there was no way to cost-effectively know or communicate the location of each car. So it was impossible for CNW or any other railroad to systematically track its most important inventory, even though doing so would be hugely beneficial to the company’s bottom line. For example, Cutter’s team knew that if they could increase the percentage of cars moving each day from 5 percent to 10 percent, they would need only half as many of them. Even a single percentage point increase in freight-car use would yield major financial benefits. When Cutter started his assignment, CNW and all other railroads employed spotters, who visited yards and watched trains pass, then telegraphed their findings to the head office. Other railroads passed on similar information to collect the demurrage charges they were owed for each CNW car on their tracks and in their yards. Cutter’s team improved on these methods by making them more systematic and efficient. They put in place a better baseline audit of where railcars were, employed more spotters, painted CNW cars differently so they were easier to see, and explored how to make more use of a new tool for businesses: the digital computer. That tool and its kin are now pervasive in the railroad industry. In the early 1990s, for example, companies started putting radio-frequency identification tags on each piece of rolling stock. These tags would be read by trackside sensors, thus automating the work of spotting. At present over 5 million messages about railcar status and location are generated and sent throughout the American railway system every day, and the country’s more than 450 railroads have nearly real-time visibility over all their rolling stock. The Rare Earth Scare In September of 2010 the Japanese government took into custody the captain of a Chinese fishing boat that had collided with Japanese patrol vessels near a group of uninhabited islands in the East China Sea claimed by both countries. China responded by imposing an embargo on shipments of rare earth elements (REE) to the Land of the Rising Sun. Even though Japan relented almost immediately and released the captain, a global panic began. This is because rare earths are “vitamins of chemistry,” as USGS scientist Daniel Cordier puts it. “They help everything perform better, and they have their own unique characteristics, particularly in terms of magnetism, temperature resistance, and resistance to corrosion.” By 2010 China produced well over 90 percent of the world’s REE. Its actions in the wake of the maritime incident convinced many that it could and would take unilateral action to control the flow of these important materials, and panicked buying soon followed (along with its close cousin rampant speculation). A bundle of REE that would have sold for less than $10,000 in early 2010 soared to more than $42,000 by April of 2011. In September of that year the US House of Representatives held a hearing called “China’s Monopoly on Rare Earths: Implications for US Foreign and Security Policy.” China didn’t attain its near monopoly because it possessed anything close to 90 percent of global reserves of REE. In fact, rare earths aren’t rare at all (one, cerium, is about as common in the earth’s crust as copper). However, they’re difficult to extract from ore. Obtaining them requires a great deal of acid and generates tons of salt and crushed rock as by-products. Most other countries didn’t want to bear the environmental burden of this heavy processing and so left the market to China. In the wake of the embargo, this seemed like a bad idea. As Representative Brad Sherman put it during the congressional hearing, “Chinese control over rare earth elements gives them one more argument as to why we should kowtow to China.” But there was never much kowtowing. By the time of the hearing, prices for REE were already in free fall. Why? What happened to the apparently tight Chinese stranglehold over REE? Several factors caused it to ease, including the availability of other supply sources and incomplete maintenance of the embargo. But as public affairs professor Eugene Gholz noted in a 2014 report on the “crisis,” many users of REE simply innovated their way out of the problem. “Companies such as Hitachi Metals [and its subsidiary in North Carolina] that make rare earth magnets found ways to make equivalent magnets using smaller amounts of rare earths in the alloys.… Meanwhile, some users remembered that they did not need the high performance of specialized rare earth magnets; they were merely using them because, at least until the 2010 episode, they were relatively inexpensive and convenient.” Overall, the companies using REE found many inexpensive and convenient alternatives. By the end of 2017 the same bundle of rare earths that had been trading above $42,000 in 2011 was available for about $1,000. What’s Going On? There is no shortage of examples of dematerialization. I chose the ones in this chapter because they illustrate a set of fundamental principles at the intersection of business, economics, innovation, and our impact on our planet. They are: We do want more all the time, but not more resources. Alfred Marshall was right, but William Jevons was wrong. Our wants and desires keep growing, evidently without end, and therefore so do our economies. But our use of the earth’s resources does not. We do want more beverage options, but we don’t want to keep using more aluminum in drink cans. We want to communicate and compute and listen to music, but we don’t want an arsenal of gadgets; we’re happy with a single smartphone. As our population increases, we want more food, but we don’t have any desire to consume more fertilizer or use more land for crops. Jevons was correct at the time he wrote that total British demand for coal was increasing even though steam engines were becoming much more efficient. He was right, in other words, that the price elasticity of demand for coal-supplied power was greater than one in the 1860s. But he was wrong to conclude that this would be permanent. Elasticities of demand can change over time for several reasons, the most fundamental of which is technological change. Coal provides a clear example of this. When fracking made natural gas much cheaper, total demand for coal in the United States went down even though its price decreased. With the help of innovation and new technologies, economic growth in America and other rich countries—growth in all of the wants and needs that we spend money on—has become decoupled from resource consumption. This is a recent development and a profound one. Materials cost money that companies locked in competition would rather not spend. The root of Jevons’s mistake is simple and boring: resources cost money. He realized this, of course. What he didn’t sufficiently realize was how strong the incentive is for a company in a contested market to reduce its spending on resources (or anything else) and so eke out a bit more profit. After all, a penny saved is a penny earned. Monopolists can just pass costs on to their customers, but companies with a lot of competitors can’t. So American farmers who battle with each other (and increasingly with tough rivals in other countries) are eager to cut their spending on land, water, and fertilizer. Beer and soda companies want to minimize their aluminum purchases. Producers of magnets and high-tech gear run away from REE as soon as prices start to spike. In the United States, the 1980 Staggers Act removed government subsidies for freight-hauling railroads, forcing them into competition and cost cutting and making them all the more eager to not have expensive railcars sit idle. Again and again, we see that competition spurs dematerialization. There are multiple paths to dematerialization. As profit-hungry companies seek to use fewer resources, they can go down four main paths. First, they can simply find ways to use less of a given material. This is what happened as beverage companies and the companies that supply them with cans teamed up to use less aluminum. It’s also the story with American farmers, who keep getting bigger harvests while using less land, water, and fertilizer. Magnet makers found ways to use fewer rare earth metals when it looked as if China might cut off their supply. Second, it often becomes possible to substitute one resource for another. Total US coal consumption started to decrease after 2007 because fracking made natural gas more attractive to electricity generators. If nuclear power becomes more popular in the United States (a topic we’ll take up in chapter 15), we could use both less coal and less gas and generate our electricity from a small amount of material indeed. A kilogram of uranium-235 fuel contains approximately 2–3 million times as much energy as the same mass of coal or oil. According to one estimate, the total amount of energy that humans consume each year could be supplied by just seven thousand tons of uranium fuel. Third, companies can use fewer molecules overall by making better use of the materials they already own. Improving CNW’s railcar utilization from 5 percent to 10 percent would mean that the company could cut its stock of these thirty-ton behemoths in half. Companies that own expensive physical assets tend to be fanatics about getting as much use as possible out of them, for clear and compelling financial reasons. For example, the world’s commercial airlines have improved their load factors—essentially the percentage of seats occupied on flights—from 56 percent in 1971 to more than 81 percent in 2018. Finally, some materials get replaced by nothing at all. When a telephone, camcorder, and tape recorder are separate devices, three total microphones are needed. When they all collapse into a smartphone, only one microphone is necessary. That smartphone also uses no audiotapes, videotapes, compact discs, or camera film. The iPhone and its descendants are among the world champions of dematerialization. They use vastly less metal, plastic, glass, and silicon than did the devices they have replaced and don’t need media such as paper, discs, tape, or film. If we use more renewable energy, we’ll be replacing coal, gas, oil, and uranium with photons from the sun (solar power) and the movement of air (wind power) and water (hydroelectric power) on the earth. All three of these types of power are also among dematerialization’s champions, since they use up essentially no resources once they’re up and running. I call these four paths to dematerialization slim, swap, optimize, and evaporate. They’re not mutually exclusive. Companies can and do pursue all four at the same time, and all four are going on all the time in ways both obvious and subtle. Innovation is hard to foresee. Neither the fracking revolution nor the world-changing impact of the iPhone’s introduction were well understood in advance. Both continued to be underestimated even after they occurred. The iPhone was introduced in June of 2007, with no shortage of fanfare from Apple and Steve Jobs. Yet several months later the cover of Forbes was still asking if anyone could catch Nokia. Innovation is not steady and predictable like the orbit of the Moon or the accumulation of interest on a certificate of deposit. It’s instead inherently jumpy, uneven, and random. It’s also combinatorial, as Erik Brynjolfsson and I discussed in our book The Second Machine Age. Most new technologies and other innovations, we argued, are combinations or recombinations of preexisting elements. The iPhone was “just” a cellular telephone plus a bunch of sensors plus a touch screen plus an operating system and population of programs, or apps. All these elements had been around for a while before 2007. It took the vision of Steve Jobs to see what they could become when combined. Fracking was the combination of multiple abilities: to “see” where hydrocarbons were to be found in rock formations deep underground; to pump down pressurized liquid to fracture the rock; to pump up the oil and gas once they were released by the fracturing; and so on. Again, none of these was new. Their effective combination was what changed the world’s energy situation. Erik and I described the set of innovations and technologies available at any time as building blocks that ingenious people could combine and recombine into useful new configurations. These new configurations then serve as more blocks that later innovators can use. Combinatorial innovation is exciting because it’s unpredictable. It’s not easy to foresee when or where powerful new combinations are going to appear, or who’s going to come up with them. But as the number of both building blocks and innovators increases, we should have confidence that more breakthroughs such as fracking and smartphones are ahead. Innovation is highly decentralized and largely uncoordinated, occurring as the result of interactions among complex and interlocking social, technological, and economic systems. So it’s going to keep surprising us. As the Second Machine Age progresses, dematerialization accelerates. Erik and I coined the phrase Second Machine Age to draw a contrast with the Industrial Era, which as we’ve seen transformed the planet by allowing us to overcome the limitations of muscle power. Our current time of great progress with all things related to computing is allowing us to overcome the limitations of our mental power and is transformative in a different way: it’s allowing us to reverse the Industrial Era’s bad habit of taking more and more from the earth every year. Computer-aided design tools help engineers at packaging companies design generations of aluminum cans that keep getting lighter. Fracking took off in part because oil and gas exploration companies learned how to build accurate computer models of the rock formations that lay deep underground—models that predicted where hydrocarbons were to be found. Smartphones took the place of many separate pieces of gear. Because they serve as GPS devices, they’ve also led us to print out many fewer maps and so contributed to our current trend of using less paper. It’s easy to look at generations of computer paper, from 1960s punch cards to the eleven-by-seventeen-inch fanfold paper of the 1980s, and conclude that the Second Machine Age has caused us to chop down ever more trees. The year of peak paper consumption in the United States, however, was 1990. As our devices have become more capable and interconnected, always on and always with us, we’ve sharply turned away from paper. Humanity as a whole probably hit peak paper in 2013. As these examples indicate, computers and their kin help us with all four paths to dematerialization. Hardware, software, and networks let us slim, swap, optimize, and evaporate. I contend that they’re the best tools we’ve ever invented for letting us tread more lightly on our planet. All of these principles are about the combination of technological progress and capitalism, which are the first of the two pairs of forces causing dematerialization. Technology: The Human Interface with the Material World One of my favorite definitions of technology comes from the philosopher Emmanuel Mesthene, who called it “the organization of knowledge for the achievement of practical purposes.” Sometimes that knowledge is crystallized into products such as hammers and iPhones, and sometimes it exists as techniques such as those for fracking or precision agriculture. Like knowledge itself, technologies accumulate. We haven’t forgotten about the lever, the plow, or the steam engine in the Second Machine Age, and we haven’t had to give them up to use cloud computing or drones. Like innovation itself, technologies are combinatorial; most of them are combinations or recombinations of existing things. This implies that the number of potentially powerful new technologies increases over time because the number of available building blocks does. These facts help me understand why we didn’t start to dematerialize sooner. It could simply be that we didn’t have the right technologies, or enough building blocks, to allow large-scale dematerialization. We had technologies that made it feasible and profitable for us to grow by taking more and more from the earth—more and more metals, fuels, water, fertilizers, and so on—but not ones that made it possible to profitably grow while taking less and less. In the Second Machine Age, that has changed. My other preferred definition of technology comes from the great science fiction author Ursula K. Le Guin, who wrote, “Technology is the active human interface with the material world. Its technology is how a society copes with physical reality: how people get and keep and cook food, how they clothe themselves, what their power sources are (animal? human? water? wind? electricity? other?), what they build with and what they build, their medicine—and so on and on. Perhaps very ethereal people aren’t interested in these mundane, bodily matters, but I’m fascinated by them.” So am I, because these “mundane matters” have twice reshaped the world—first during the Industrial Era, when technological progress allowed us to prosper by taking more from the planet, and now in the Second Machine Age, when we’ve finally figured out how to prosper while taking less. Capitalism: Means of Production Capitalism and religion are the two subjects that leave the fewest people on the sidelines. People have very firmly held opinions on both topics, and few change their minds no matter what evidence and arguments are presented to them. Yet despite this clear history of intransigence, many thinkers and writers have tried to bring others around to their point of view on both topics. Most have failed. I’m going to join this long sad parade by arguing in favor of capitalism. Before I do that, though, I want to define what I’m talking about. Even more than is the case with technology, clear definitions are important with capitalism because it’s such a triggering word. As the psychologist Jonathan Haidt has pointed out, some hear it as a synonym for liberation, others for exploitation. But let me put the dictionary before the thesaurus and offer a definition of what capitalism is before suggesting what it’s like. For our purposes, capitalism is a way to come up with goods and services and get them to people. Every society that doesn’t want its people to starve or die of exposure has to accomplish this task; capitalism is simply one approach to doing it. The important features of this approach are: Profit-seeking companies. Under capitalism, most goods and services are produced by for-profit companies rather than nonprofits, the government, or individuals. Companies can be owned by only a few people (such as the partners in a law firm) or a great many (publicly traded companies have shareholders all over the world) and are assumed to last over time; they don’t have a predefined end date. Free market entry and competition. Companies can go after one another’s markets and customers; there are few if any protected monopolies. It might not be legal to completely copy a rival’s patented product, but it’s perfectly legal to try to come up with something better. In economist-speak, markets are contested. Similarly, people can take their skills from one market to another; they’re not tied to a single geography or job. Strong property rights and contract enforcement. Patents are a form of intellectual property. They can be bought and sold just as other kinds of property—from land to houses to cars—can. Laws and courts ensure that none of these kinds of property can be stolen or destroyed, even by large, powerful entities such as billionaires, giant corporations, or the government. Similarly, if a small company and a big one sign a contract to work together, neither party gets to unilaterally walk away from the agreement without fear of getting sued. Absence of central planning, control, and price setting. The government does not decide what goods and services are needed by people, or which companies should be allowed to produce them. No central body decides if there is “enough” volume and variety in smartphones, caffeinated beverages, steel girders, and so on. The prices of these and most other goods and services are allowed to vary based on the balance of supply and demand, rather than being set in advance or adjusted by any central authority. Private ownership of most things. Smartphones, cups of coffee, steel girders, and most other products are owned by the people or companies that bought them. The companies that produced these things are also owned by people. Many shares of Apple, Starbucks, US Steel, and other public companies are held by mutual funds, pension funds, and hedge funds, but all these funds are themselves ultimately owned by people. Most houses, cars, land, gold, Bitcoin, and other assets are also owned by people rather than the government. Voluntary exchange. The phrase most closely associated with capitalism is voluntary exchange. People can’t be forced to buy specific products, take a certain job, or move across the country. Companies don’t have to sell themselves if they don’t want to. They also don’t have to make some products and not others, or stay within specific markets. The Waffle House chain doesn’t have any of its breakfast restaurants in my state of Massachusetts, but that’s not because lawmakers there are keeping it out. The legislature in Boston doesn’t have that power. I want to highlight a couple of things about this definition. First, capitalism is not without oversight. The government has clear roles to play in establishing laws and settling disputes (to say nothing of setting tax rates, controlling the money supply, and doing other things of critical economic importance). As we’ll see in the next two chapters, every sane advocate of capitalism also recognizes that while voluntary exchange and free market entry are great, they don’t create utopia. Some important “market failures” need to be corrected by government action. The second thing I want to point out is that all of today’s rich countries are capitalist, by this definition. This is not to say that all capitalist countries are alike. Denmark, South Korea, and the United States are very different places. They have dissimilar trade policies, tax systems, social safety nets, industrial structures, and so on. But they all have all of the things listed above; they are all inherently capitalist. Denmark’s economy is not planned and controlled out of Copenhagen, people in Korea own their own houses and furniture,III and contracts in America are generally respected and enforced. Today’s poorer countries, in sharp contrast, reliably do not have all of the things listed above. Their governments tend to run such things as airlines and telephone networks that are run by private companies in rich countries. It’s generally much harder to start a company in less affluent countries, so free market entry and competition are constrained. According to the World Bank, in 2017 it took less than six days to start a business in America, Denmark, Singapore, Australia, and Canada, and seventy days or more in Somalia, Brazil, and Cambodia. The world champion of entrepreneurial sclerosis was Venezuela (a country we’ll talk more about in the next chapter), at two hundred and thirty days. In poorer countries, it’s also often not clear who owns what. Things that are taken for granted in the rich world, such as unambiguous land registries and clear title to houses and other property, are problematic in many developing countries. The biggest difference between rich and poor countries might be whether laws are clearly and consistently enforced. Poorer countries don’t lack laws; they often have extensive legal codes. What’s in short supply is justice for all. Officials are corrupt; the elite get special treatment and rarely lose in court; police, regulators, and inspectors can expect bribes; and contested markets, property rights, and voluntary exchange suffer in countless other ways. It’s not that these abuses don’t occur in rich countries, but they occur much, much less often. I’ll make some more points about capitalism in the next chapter. To wrap up this one, I want to emphasize how well technological progress and capitalism work together. Overcoming the Limits A great way to see what happens when capitalism and tech progress combine is to look back at 1972’s The Limits to Growth, which we first came across in chapter 4. It’s a fascinating document for two reasons. First, it’s one of the most Malthusian books written since Malthus. It’s far gloomier than anything Jevons came up with. The team behind The Limits to Growth tried to model the future of the exponentially growing world economy and concluded, “We can thus say with some confidence that, under the assumption of no major change in the present system, population and industrial growth will certainly stop within the [twenty-first] century, at the latest. The system… collapses because of a resource crisis.” Second, The Limits to Growth provided an invaluable service by recording what the known global reserves of important resources were in 1972. “Known global reserves” are the deposits of a resource that can be profitably extracted given the prevailing knowledge and state of technology. The authors of The Limits to Growth included the known reserves of many resources to show how inadequate they were in the face of exponential growth of both output and resource consumption. The authors had little reason to suppose in the early 1970s that either kind of growth would stop on its own. As we saw in chapter 4, resource consumption went up in lockstep with overall economic output all throughout the twentieth century up to Earth Day. Few people expected that to change. The team behind The Limits to Growth certainly didn’t. The most generous estimate of future resource availability included in The Limits to Growth assumed that exponential consumption would continue, and that proven reserves were actually five times greater than commonly assumed. Under these conditions, the team’s computer models showed that the planet would run out of gold within twenty-nine years of 1972; silver within forty-two years; copper and petroleum within fifty; and aluminum within fifty-five. These weren’t accurate predictions. We still have gold and silver, and we still have large reserves of them. In fact, the reserves of both are actually much bigger than in 1972, despite almost half a century of additional consumption. Known global reserves of gold are almost 400 percent larger today than in 1972, and silver reserves are more than 200 percent larger. And it’s probably not too early to say that we’re not going to run out of copper, aluminum, and petroleum as quickly as estimated in The Limits to Growth. Known reserves of all are much larger than they were when the book was published. Known aluminum reserves are almost twenty-five times what they were in the early 1970s. How could these predictions about resource availability, which were taken seriously when they were released, have been so wrong? Because the Limits to Growth team pretty clearly underestimated both dematerialization and the endless search for new reserves. Capitalism and tech progress combine to drive both of these trends—the use of fewer resources and the hunt for more of them—and neither of these two drivers is about to become less powerful. So we’ll continue to innovate our way to greater dematerialization while we keep finding more reserves. The counterintuitive conclusion from this line of reasoning is that resource scarcity isn’t something we need to worry about. The earth is finite, so the total quantity of resources such as gold and petroleum is limited. But the earth is also very, very big—big enough to contain all we need of these and other resources, for as long as we’ll need them. The image of a thinly supplied Spaceship Earth hurtling through the cosmos with us aboard is compelling, but deeply misleading. Our planet has amply supplied us for our journey. Especially since we’re quickly slimming, swapping, optimizing, and evaporating our way to dematerialization. The Second Enlightenment Abraham Lincoln, the only US president to hold a patent,IV had a deep insight about capitalism. He wrote that the patent system “added the fuel of interest to the fire of genius in the discovery and production of new and useful things.” “The fire of genius” is a wonderful label for technological progress. “The fuel of interest” is equally good as a summary of capitalism. They interact in a self-reinforcing and ever-expanding cycle, and they’re now creating a dematerializing world. Innovators come up with new and useful technologies. They then partner with entrepreneurs or become entrepreneurs themselves as James Watt did. A new company is the result. Investors such as steam-engine backer Matthew Boulton often join in to provide the capital needed for growth in its early days. The start-up enters a market and takes on incumbents like the Newcomen steam engine. Customers like the new technology better and are free to choose it. Rivals can’t just copy the new technology because it’s protected by patents. So they either have to license it or come up with innovations themselves. The start-up grows and prospers and eventually becomes the new incumbent. Its success inspires the next round of innovators, entrepreneurs, and investors, who once again take aim at the incumbent by offering something better to their customers. Because of free market entry, the next innovators and start-ups can come from anywhere. And because innovation is such a distributed, dynamic, and unpredictable activity, it often comes from an unexpected place. It’s not necessary to plan this process. In fact, it’s a terrible idea to try to do so. Any central planner will miss many of the actual innovators or actively try to squelch them to protect the status quo of which the planners themselves are a part. This cycle of capitalist, technology-rich “creative destruction” was beautifully described in the middle of the twentieth century by the Austrian economist Joseph Schumpeter. But since the late nineteenth century and the work of Alfred Marshall and William Jevons, we’ve believed that this cycle would cause us to use up more and more of our planet’s resources. This was true throughout the Industrial Era, and especially in the years around Earth Day and the birth of the modern environmental movement. Environmentalists’ urgent cautions about resource use and planetary depletion were born out of an awareness of how powerfully technological progress and capitalism interacted. But then, for the reasons described in this chapter, that interaction changed. Tech progress and capitalism continued to reinforce each other, and to cause economies to get bigger and people to become more prosperous. But instead of also causing greater use of natural resources, they instead sparked dematerialization, something truly new under the sun. The fuel of interest in eliminating costs was added to the fire of the computer revolution, and the world began to dematerialize. The economic historian Joel Mokyr argues that the Industrial Era was made possible by the values of the Enlightenment. This intellectual movement began in the second half of the eighteenth century with many societies in the West embracing what Steven Pinker characterizes as four values: reason, science, humanism, and progress. According to Mokyr, the Enlightenment created a “culture of growth” that let both capitalism and technological progress flourish. I see an interesting inversion taking place now. If the Enlightenment led to the Industrial Era, then the Second Machine Age has led to a Second Enlightenment—a more literal one. We are now lightening our total consumption and treading more lightly on our planet. In America, the United Kingdom, and other rich countries, we are past “peak stuff” and are now using fewer total resources year after year. We’re accomplishing this because of the combination of technological progress and capitalism, which now let us get more from less.

2024 CNDI Disadvantage
2AC—Med Tech › Impact

Econ decline does not cause extinction.

Walt 20 Stephen Walt Robert and Renée Belfer professor of IR at Harvard University, PhD in Political Science from Berkeley, formerly: Resident Associate of the Carnegie Endowment for Peace, Guest Scholar at the Brookings Institution, consultant for the Institute of Defense Analyses, the Center for Naval Analyses, and the National Defense University; 5-13-20; “Will a Global Depression Trigger Another World War?” ;Foreign Policy;  

Posen adds that COVID-19 is also likely to reduce international trade in the short to medium term. Those who believe economic interdependence is a powerful barrier to war might be alarmed by this development, but he points out that trade issues have been a source of considerable friction in recent years—especially between the United States and China—and a degree of decoupling might reduce tensions somewhat and cause the odds of war to recede. For these reasons, the pandemic itself may be conducive to peace. But what about the relationship between broader economic conditions and the likelihood of war? Might a few leaders still convince themselves that provoking a crisis and going to war could still advance either long-term national interests or their own political fortunes? Are the other paths by which a deep and sustained economic downturn might make serious global conflict more likely? One familiar argument is the so-called diversionary (or “scapegoat”) theory of war. It suggests that leaders who are worried about their popularity at home will try to divert attention from their failures by provoking a crisis with a foreign power and maybe even using force against it. Drawing on this logic, some Americans now worry that President Donald Trump will decide to attack a country like Iran or Venezuela in the run-up to the presidential election and especially if he thinks he’s likely to lose. This outcome strikes me as unlikely, even if one ignores the logical and empirical flaws in the theory itself. War is always a gamble, and should things go badly—even a little bit—it would hammer the last nail in the coffin of Trump’s declining fortunes. Moreover, none of the countries Trump might consider going after pose an imminent threat to U.S. security, and even his staunchest supporters may wonder why he is wasting time and money going after Iran or Venezuela at a moment when thousands of Americans are dying preventable deaths at home. Even a successful military action won’t put Americans back to work, create the sort of testing-and-tracing regime that competent governments around the world have been able to implement already, or hasten the development of a vaccine. The same logic is likely to guide the decisions of other world leaders too. Another familiar folk theory is “military Keynesianism.” War generates a lot of economic demand, and it can sometimes lift depressed economies out of the doldrums and back toward prosperity and full employment. The obvious case in point here is World War II, which did help the U.S economy finally escape the quicksand of the Great Depression. Those who are convinced that great powers go to war primarily to keep Big Business (or the arms industry) happy are naturally drawn to this sort of argument, and they might worry that governments looking at bleak economic forecasts will try to restart their economies through some sort of military adventure. I doubt it. It takes a really big war to generate a significant stimulus, and it is hard to imagine any country launching a large-scale war—with all its attendant risks—at a moment when debt levels are already soaring. More importantly, there are lots of easier and more direct ways to stimulate the economy—infrastructure spending, unemployment insurance, even “helicopter payments”—and launching a war has to be one of the least efficient methods available. The threat of war usually spooks investors too, which any politician with their eye on the stock market would be loath to do. Economic downturns can encourage war in some special circumstances, especially when a war would enable a country facing severe hardships to capture something of immediate and significant value. Saddam Hussein’s decision to seize Kuwait in 1990 fits this model perfectly: The Iraqi economy was in terrible shape after its long war with Iran; unemployment was threatening Saddam’s domestic position; Kuwait’s vast oil riches were a considerable prize; and seizing the lightly armed emirate was exceedingly easy to do. Iraq also owed Kuwait a lot of money, and a hostile takeover by Baghdad would wipe those debts off the books overnight. In this case, Iraq’s parlous economic condition clearly made war more likely. Yet I cannot think of any country in similar circumstances today. Now is hardly the time for Russia to try to grab more of Ukraine—if it even wanted to—or for China to make a play for Taiwan, because the costs of doing so would clearly outweigh the economic benefits. Even conquering an oil-rich country—the sort of greedy acquisitiveness that Trump occasionally hints at—doesn’t look attractive when there’s a vast glut on the market. I might be worried if some weak and defenseless country somehow came to possess the entire global stock of a successful coronavirus vaccine, but that scenario is not even remotely possible. If one takes a longer-term perspective, however, a sustained economic depression could make war more likely by strengthening fascist or xenophobic political movements, fueling protectionism and hypernationalism, and making it more difficult for countries to reach mutually acceptable bargains with each other. The history of the 1930s shows where such trends can lead, although the economic effects of the Depression are hardly the only reason world politics took such a deadly turn in the 1930s. Nationalism, xenophobia, and authoritarian rule were making a comeback well before COVID-19 struck, but the economic misery now occurring in every corner of the world could intensify these trends and leave us in a more war-prone condition when fear of the virus has diminished. On balance, however, I do not think that even the extraordinary economic conditions we are witnessing today are going to have much impact on the likelihood of war. Why? First of all, if depressions were a powerful cause of war, there would be a lot more of the latter. To take one example, the United States has suffered 40 or more recessions since the country was founded, yet it has fought perhaps 20 interstate wars, most of them unrelated to the state of the economy. To paraphrase the economist Paul Samuelson’s famous quip about the stock market, if recessions were a powerful cause of war, they would have predicted “nine out of the last five (or fewer).” Second, states do not start wars unless they believe they will win a quick and relatively cheap victory. As John Mearsheimer showed in his classic book Conventional Deterrence, national leaders avoid war when they are convinced it will be long, bloody, costly, and uncertain. To choose war, political leaders have to convince themselves they can either win a quick, cheap, and decisive victory or achieve some limited objective at low cost. Europe went to war in 1914 with each side believing it would win a rapid and easy victory, and Nazi Germany developed the strategy of blitzkrieg in order to subdue its foes as quickly and cheaply as possible. Iraq attacked Iran in 1980 because Saddam believed the Islamic Republic was in disarray and would be easy to defeat, and George W. Bush invaded Iraq in 2003 convinced the war would be short, successful, and pay for itself. The fact that each of these leaders miscalculated badly does not alter the main point: No matter what a country’s economic condition might be, its leaders will not go to war unless they think they can do so quickly, cheaply, and with a reasonable probability of success. Third, and most important, the primary motivation for most wars is the desire for security, not economic gain. For this reason, the odds of war increase when states believe the long-term balance of power may be shifting against them, when they are convinced that adversaries are unalterably hostile and cannot be accommodated, and when they are confident they can reverse the unfavorable trends and establish a secure position if they act now. The historian A.J.P. Taylor once observed that “every war between Great Powers [between 1848 and 1918] … started as a preventive war, not as a war of conquest,” and that remains true of most wars fought since then. The bottom line: Economic conditions (i.e., a depression) may affect the broader political environment in which decisions for war or peace are made, but they are only one factor among many and rarely the most significant. Even if the COVID-19 pandemic has large, lasting, and negative effects on the world economy—as seems quite likely—it is not likely to affect the probability of war very much, especially in the short term.

2024 CNDI Disadvantage
2AC—Med Tech › Impact

Infectious diseases don’t cause extinction

Owen Cotton-Barratt 17, et al, PhD in Pure Mathematics, Oxford, Lecturer in Mathematics at Oxford, Research Associate at the Future of Humanity Institute, 2/3/2017, Existential Risk: Diplomacy and Governance, https://www.fhi.ox.ac.uk/wp-content/uploads/Existential-Risks-2017-01-23.pdf

For most of human history, natural pandemics have posed the greatest risk of mass global fatalities.37 However, there are some reasons to believe that natural pandemics are very unlikely to cause human extinction. Analysis of the International Union for Conservation of Nature (IUCN) red list database has shown that of the 833 recorded plant and animal species extinctions known to have occurred since 1500, less than 4% (31 species) were ascribed to infectious disease.38 None of the mammals and amphibians on this list were globally dispersed, and other factors aside from infectious disease also contributed to their extinction. It therefore seems that our own species, which is very numerous, globally dispersed, and capable of a rational response to problems, is very unlikely to be killed off by a natural pandemic.

One underlying explanation for this is that highly lethal pathogens can kill their hosts before they have a chance to spread, so there is a selective pressure for pathogens not to be highly lethal. Therefore, pathogens are likely to co-evolve with their hosts rather than kill all possible hosts.39

2024 CNDI Disadvantage
2AC—Med Tech › Impact

No extinction from disease – adaptation, resilience, intervening actors, and burnout prevent unchecked spread

Adalja 16 (Amesh, epidemiologist and physician at the University of Pittsburgh, "Why Hasn't Disease Wiped out the Human Race?," The Atlantic, 6/17/16,

Any yet, of course, humanity continued to flourish. Our species’ recent explosion in lifespan is almost exclusively the result of the control of infectious diseases through sanitation, vaccination, and antimicrobial therapies. Only in the modern era, in which many infectious diseases have been tamed in the industrial world, do people have the luxury of death from cancer, heart disease, or stroke in the 8th decade of life. Childhoods are free from watching siblings and friends die from outbreaks of typhoid, scarlet fever, smallpox, measles, and the like.So what would it take for a disease to wipe out humanity now? In Michael Crichton’s The Andromeda Strain, the canonical book in the disease-outbreak genre, an alien microbe threatens the human race with extinction, and humanity’s best minds are marshaled to combat the enemy organism. Fortunately, outside of fiction, there’s no reason to expect alien pathogens to wage war on the human race any time soon, and my analysis suggests that any real-life domestic microbe reaching an extinction level of threat probably is just as unlikely. Any apocalyptic pathogen would need to possess a very special combination of two attributes. First, it would have to be so unfamiliar that no existing therapy or vaccine could be applied to it. Second, it would need to have a high and surreptitious transmissibility before symptoms occur. The first is essential because any microbe from a known class of pathogens would, by definition, have family members that could serve as models for containment and countermeasures. The second would allow the hypothetical disease to spread without being detected by even the most astute clinicians.The three infectious diseases most likely to be considered extinction-level threats in the world today—influenza, HIV, and Ebola—don’t meet these two requirements. Influenza, for instance, despite its well-established ability to kill on a large scale, its contagiousness, and its unrivaled ability to shift and drift away from our vaccines, is still what I would call a “known unknown.” While there are many mysteries about how new flu strains emerge, from at least the time of Hippocrates, humans have been attuned to its risk. And in the modern era, a full-fledged industry of influenza preparedness exists, with effective vaccine strategies and antiviral therapies.HIV, which has killed 39 million people over several decades, is similarly limited due to several factors. Most importantly, HIV’s dependency on blood and body fluid for transmission (similar to Ebola) requires intimate human-to-human contact, which limits contagion. Highly potent antiviral therapy allows most people to live normally with the disease, and a substantial group of the population has genetic mutations that render them impervious to infection in the first place. Lastly, simple prevention strategies such as needle exchange for injection drug users and barrier contraceptives—when available—can curtail transmission risk.Ebola, for many of the same reasons as HIV as well as several others, also falls short of the mark. This is especially due to the fact that it spreads almost exclusively through people with easily recognizable symptoms, plus the taming of its once unfathomable 90 percent mortality rate by simple supportive care. Beyond those three, every other known disease falls short of what seems required to wipe out humans—which is, of course, why we’re still here. And it’s not that diseases are ineffective. On the contrary, diseases’ failure to knock us out is a testament to just how resilient humans are. Part of our evolutionary heritage is our immune system, one of the most complex on the planet, even without the benefit of vaccines or the helping hand of antimicrobial drugs. This system, when viewed at a species level, can adapt to almost any enemy imaginable. Coupled to genetic variations amongst humans—which open up the possibility for a range of advantages, from imperviousness to infection to a tendency for mild symptoms—this adaptability ensures that almost any infectious disease onslaught will leave a large proportion of the population alive to rebuild, in contrast to the fictional Hollywood versions.While the immune system’s role can never be understated, an even more powerful protector is the faculty of consciousness. Humans are not the most prolific, quickly evolving, or strongest organisms on the planet, but as Aristotle identified, humans are the rational animals—and it is this fundamental distinguishing characteristic that allows humans to form abstractions, think in principles, and plan long-range. These capacities, in turn, allow humans to modify, alter, and improve themselves and their environments. Consciousness equips us, at an individual and a species level, to make nature safe for the species through such technological marvels as antibiotics, antivirals, vaccines, and sanitation. When humans began to focus their minds on the problems posed by infectious disease, human life ceased being nasty, brutish, and short. In many ways, human consciousness became infectious diseases’ worthiest adversary.None of this is meant to allay all fears of infectious diseases. To totally adopt a Panglossian viewpoint would be foolish—and dangerous. Humans do face countless threats from infectious diseases: witness Zika. And if not handled appropriately, severe calamity could, and will, ensue. The West African Ebola outbreak, for instance, festered for months before major efforts to bring it under control were initiated.When it comes to infectious diseases, I’m worried about the failure of institutions to understand the full impact of outbreaks. I’m worried about countries that don’t have the infrastructure or resources to combat these outbreaks when they come. But as long as we can keep adapting, I’m not worried about the future of the human race

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Patent protections are key to biopharmaceutical technology

OECD 4, Organization for Economic Cooperation and Development, 2004, “Patents and Innovation: Trends and Policy Challenges,” em

The biological sciences are yielding an impressive array of inventions which involve the manipulation and use of genes and genetic elements, and there has been a surge in patenting in this area in recent years. Patents have emerged as the most important form of intellectual property protection for much of the biotechnology industry, in particular the biopharmaceutical sector.

Patent protection for biotechnology inventions has been available for over 20 years. Each year, thousands of biotechnology patents are issued worldwide, leading to the successful development of new products, services, and tools in fields as diverse as agriculture, pharmaceuticals, environmental clean-up, and industrial products and processes. An important early legal landmark was the 1980 US Supreme Court Diamond vs. Chakrabarty decision on the patentability of a genetically modified bacterium, after which inventions involving life forms were deemed patentable in the United States. Over time, court decisions, legislation (such as the 1998 EC Biotechnology Directive), multilateral trade agreements and examination guidelines at the major patent offices have confirmed the patentability of biotechnology-based inventions. The categories of patentable biotechnology inventions in many OECD countries have expanded over the years to include genes, gene fragments and genetic-based tools and diagnostics, genetically modified plants and animals, and a host of inventions derived from the revolutions in genomics, proteomics and pathway engineering.

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Automatic Injunctions are key to creating medtech innovations through ensured competition

Will Rinehart 14, Director of Technology and Innovation Policy at the American Action Forum, 7-29-2014, "Intellectual Property Underpinnings of Pharmaceutical Innovation: A Primer," em

Being that it is an exclusive right to a piece of knowledge, patents are often considered to be a kind of monopoly. Criticism has been heaped upon patents in exactly the way one would expect given this definition. The creation of intellectual property rights creates an allowable exclusivity. Yet, it should be immediately apparent that patents do not automatically confer a monopoly over an industry. For example, a pharmaceutical company that invents a new and improved cancer medicine is still in competition with alternatives from other companies, which ultimately acts as a constraint on their ability to charge prices above a competitive level.

Commercial success is tied to more than just an innovative idea; superior marketing, management, positioning, and other factors are likely to be more important than the patent itself. Moreover, individuals and companies will seek multiple solutions to the same problem, whether that might be in new commercial arrangements or products. By limiting a particular avenue for competitors, patents have the potential effect of promoting further innovation by encouraging others to develop new products.

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Turn- Automatic injunctions ensure research and development from small biotech companies that result in crucial medical technology

Engey Elrefaie 10, Injunctive Relief Post eBay and the Various Applications of the Four-Factor Test in Differing Technological Industries, 2 Hastings Sci. & Tech. L.J. 219 (2010). Available at: https://repository.uchastings.edu/hastings_science_technology_law_journal/vol2/iss2/3

Pharmaceutical Research and Manufacturing of America and Biotechnology Industry Organization The Pharmaceutical Research and Manufacturers of America ("PhRMA") is a nonprofit association representing the nation's leading research-based pharmaceutical and biotechnology companies.' The PhRMA brief focused on the critical importance of the protection of patent rights; given the time and financial expenditures of the drug development process, which can last up to fifteen years,22 it is imperative that companies be able to protect their patents. The brief also pointed to the amici's strong interest in the protection of the right to exclude through permanent injunctions, in order to ensure "future innovation and the timely development of new medicines." 2 3 This strong patent protection would help patentees recoup their particularly costly investments.24 With a market perspective similar to PhRMA's, the Biotechnology Industry Organization ("BIO") is a trade association representing more than 1,100 companies, academic institutions, and biotechnology centers.2 Members are involved in the research and development of healthcare, agricultural, and environmental products. 26 The BIO brief asserted that the "promise of exclusionary rights in validly patented subject matter provides the investment incentive for research and development of innovative products."2 1 Lack of this incentive, BIO argued, would "negatively impact the amount of research and development resources available to membercompanies" and "negatively impact public health and welfare." 2 8PhRMA's theory rested on the assertion that barring injunctive relief as a remedy for infringement would "weaken the patent system dramatically," profoundly impacting "all industries that rely upon strong patent protection."9 Their position demonstrates the essential difference between the pharmaceutical/biotechnology industry's support for a stronger patent system and the software/IT industry's desire for a more fluid system that promotes licensing and provides trial courts with more discretion to decide whether injunctive relief is appropriate. PhRMA and BIO both argued that because biotechnology companies rely on private investors to fund development of risky and expensive new products, the industry's economic growth depends on the protection offered by a strong patent system.3 " As BIO articulated in its brief, the majority of biotechnology companies are small with little or no operating income, and so are in constant search of investors willing to risk "hundreds of millions of dollars on a very slim chance of the therapy reaching market and turning a profit.",3 It is through the patent's right to exclude that the incentive for expensive, high-risk research and development exists, thereby allowing members to attract requisite funds for the development of new products. PhRMA reiterated this point, arguing that the "high cost of research and development and the low probability of finding and marketing a successful product" merit the need for the pharmaceutical industry to have "strong assurances that any resulting intellectual property will be protected."3 The ease of reverse engineering pharmaceutical products, combined with the profits available in this endeavor, indicate the need for injunctive relief, which "offers in many circumstances the only effective protection."34 Focusing on the patent law's central purpose of incentivizing innovation and knowledge sharing, PhRMA asserted that a functioning patent system that enables inventors to profit must provide the "temporary right to exclude others from the fruits of their labors.", Alternatives to the right to exclude are "inadequate, imprecise, and ultimately inhibit the development of voluntary 29. See PhRMA, supra note 21 at 2. 30. See PhRMA, supra note 21 at 7; BIO, supra note 25 at 1-2. 31. See BIO, supra note 25 at 5. 32. See PhRMA, supra note 21 at 7. 33. Id. at 3. 34. Id. 35. Id. 7 - ELREFAIE - INJUNCTIVE RELIEF POST EBAY - 050610 CB.DOC (Do NO DELEIE) 5/14/2010 9:32:42 AM SUMMER 2010] INJUNCTIVE RELIEF POST-eBA Y 225 institutions that would otherwise reduce transaction costs by allowing parties to set prices."" With respect to the overall public interest, PhRMA concluded that the "short-term increases in competition" that would ensue from replacing automatic injunctive relief with a supposed "functioning and reliable" patent system would be of no benefit to the public or the inventor. 1 From PhRMA's perspective, the long-term effects of providing pharmaceutical companies with strong incentives for future research and development investment better serves the American public than the short-term effects of cheaper, but infringing, versions of the same drugs." One commonly noted difference between the biotechnology and software industries is the nature of their typical patents. As noted in the BIO brief, a biotechnology patent usually encompasses just a few patents in order to adequately protect an entire marketed product; a typical software/IT patent, on the other hand, covers a single component of a multi-component product . In response to the software industry's push for more trial court discretion with respect to enjoining the production of an infringing multi-component product, the BIO brief suggested that there is no need to alter the general right to injunctive relief because issuance of a permanent injunction is: (1) based on a presumptively valid patent being infringed; (2) rarely a surprise; (3) tailored to prevent the infringement of the "claimed invention"; and (4) granted in light of the fact that the infringer has the choices of removing the component, designing a component that does not infringe the valid patent, or waiting for the patent to expire to use the single element in the multi-component product.

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Turn – Injunctions are crucial to the innovation of the pharmaceutical industry

Beyklin 07 Michael Beylkin, a J.D. Candidate at the University of Colorado (2008) and Production Editor of the Journal on Telecommunications and High Technology Law. He will be serving as a judicial clerk for the Honorable Timothy M. Tymkovich on the U.S. Court of Appeals for the Tenth Circuit in Fall 2008, Michael Beylkin “Much Ado About Nothing: The Biotech and Pharmaceutical Industries Have Little to Fear in the Post-eBay World”(2007), Journal on Telecommunications and High Technology Law, Volume 6, http://www.jthtl.org/content/articles/V6I1/JTHTLv6i1_Beylkin.PDF,

Nevertheless, MercExchange contended that the remaining two factors, even if considered, would almost always favor the patentee. The balance of the hardships would rarely favor the infringing party, except 122. See Brief for Respondent, supra note 42, at 23 n.27. 123. See id. at 25 nn.28-29. 124. See id. at 26. Part of this argument is based on the underlying purpose of the Federal Circuit which was created, in part, to generate uniformity in intellectual property law. 125. 15 U.S.C. § 1116(a) (2006). 126. 17 U.S.C. § 502(a) (2006). 127. See Brief for Respondent, supra note 42, at 26. 128. See id. at 27 (arguing that Weinberger, 456 U.S. at 312, did not create any test for equitable relief). 129. See id. at 28. This is similar to a trespass on real property. Damages would be insufficient to recompense for the invasion since the trespasser would not be forced off the land. An injunction, therefore, is the only remedy that compensates for the trespass and prevents future trespass without the necessity for successive lawsuits. See Kaiser Aetna v. United States, 444 U.S. 164, 176-79 (1979) (holding that the right to exclude is a fundamental element of the property right); Smith Int’l, Inc. v. Hughes Tool Co., 718 F.2d 1573, 1578 (Fed. Cir. 1983) (holding that the right to exclude would be of much less value without the injunctive remedy). 2007] MUCH ADO ABOUT NOTHING 197 in unusual circumstances where disproportionate harm would result. However, according to MercExchange, any financial benefits derived from the infringement should not be considered. Similarly, MercExchange argued that “[a]n injunction serves the public interest by protecting the value of patent rights . . . [such as] encouraging the creation, development, disclosure, and commercialization” of new inventions.130 Following this argument to its logical conclusion, the Federal Circuit’s general rule in favor of an injunction in all but extraordinary circumstances was, therefore, entirely consistent with the purpose, language, and historical practice surrounding the Patent Act. B. Biotech & Pharma Weigh In Although eBay and MercExchange were the primary parties to the dispute, other important players decided to weigh in through amicus briefs – especially players such as the pharmaceutical and biotechnology industries. The primary concern of the pharmaceutical and biotechnology industries surrounding the eBay case and its implications on the injunctive remedy for patent infringement revolves around economics“The promise of exclusionary rights . . . provides the investment incentive for the research and development of innovative products” that are essential for the public good.131 The primary asset of most small biotech companies is intellectual property, vis-à-vis patents, and the commensurate right to exclude is essential to justify the high cost and risk of investment.132 Consequently, an inability to enjoin infringement would diminish economic power and value of patent rights.133 As a whole, the biotech industry filed over forty thousand new patents in 2003.134 However, most of the companies that comprise the biotechnology sector are small and lack significant financial assets. As a result, their primary means of financing research and development is through private investment and negotiations. Consequently, they argued that any change or even uncertainty in the injunctive remedy could have a deleterious effect on negotiations with private investment sources, and thereby reduce the potential for future drug discovery.135 Additionally, many biotech companies and research institutions do 130. See Brief for Respondent, supra note 42, at 33. 131. Brief for Biotechnology Industry Organization as Amicus Curiae Supporting Respondent at 1, eBay, 126 S. Ct. 1837 (2006) (No. 05-130) [hereinafter Brief for BIO]. 132. See id. at 2; see also Brief for Pharmaceutical Research and Manufacturers of America Brief as Amicus Curiae Supporting Respondent at 7, eBay, 126 S. Ct. 1837 (2006) (No. 05-130) [hereinafter Brief for Pharma]. 133. See Brief for BIO, supra note 131, at 8. 134. Id. at 1. 135. See id. at 5. 198 J. ON TELECOMM. & HIGH TECH. L. [Vol. 6 not immediately practice or develop their patented inventions.136 In some circumstances this may be due to lack of financing, expertise, or manufacturing capacity. Also, licensing may not be strategically or economically beneficial. If the injunctive remedy was removed as a protection against infringement, the biotech industry would be forced to seek protections under different legal regimes, such as trade secrets, and this may not be in the best interests of the industry or the public as a whole.137 The rewards of new medicines and improvements to public heaalth and safety may be diminished or lost as a result. Likewise, the pharmaceutical industry argued that the presumption in favor of a permanent injunction as a remedy for patent infringement is essential. As their amicus brief stated, the “pharmaceutical industry depends for its very existence upon strong, reliable patent protection.”138 The high research and development costs associated with the long process from idea to FDA approval and the high likelihood of failure of most research compounds are subsidized by the products that successfully make it to the drug market.139 Pharmaceutical drugs usually contain a single, easily identifiable compound that may qualify for patent protection.140 While an injunction would lead parties to negotiate and reach a fair market price for use, compulsory licensing, as a judicial remedy, rarely factors in the true research and development costs.141 Therefore, according to the pharmaceutical industry, a failure of the right to exclude in any given circumstance could be disastrous. Nevertheless, Teva Pharmaceuticals, a generic drug manufacturer, presented a strong counterargument against a near-automatic injunction rule.142 It argued that injunctions should not issue where the infringement is due to the presence of a “de minimis” or “mere “trifling” 136. See id. at 17. 137. See id. at 9-10. The patent system protects innovation for a limited time in exchange for a dedication of the technology to the public domain at the end of that limited period. See, e.g., Universal Oil Prods. Co. v. Globe Oil & Ref. Co., 322 U.S. 471, 484 (1944). Trade secrets would be a disadvantage to both industry as well as the public. For example, industry would not be protected from reverse engineering or other copying of the technology. See, e.g., Kewanee Oil Co. v. Bicron Corp., 416 U.S. 470, 475-76 (1974). And because trade secrets could, in theory, exist in perpetuity, many innovations may either never make it to market or be limited in supply or distribution, hurting access to it by the general public and limiting the potential innovation on that technology going forward. 138. Brief for Pharma, supra note 132, at 5. 139. See id. at 5-8. 140. See id. at 7. 141. See id. at 13-15. Research and development costs of patented drugs are not easily calculable because pharmaceutical companies usually offset the costs of failed drug candidates. See id. Consequently, the pharmaceutical industry argued that court-imposed licenses would “directly impact the number of new drugs brought to market. Pharmaceutical companies would be unable to raise as much money to invest in R&D, and the resulting decrease in R&D funding would translate directly into fewer new drugs.”

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2AC—Med Tech › Link › 2AC—L/T: Medical Tech

eBay’s judicial activism that chills medical tech development—ruins key incentives based on exclusive rights.

Masterson 14—JD from Boston University School of Law, Counsel at Norton Rose Fulbright (Laura. "The Future of Medical Device Patents: Categorical Exclusion after eBay, Inc. v. MercExchange, L.L.C." Boston University Journal of Science and Technology Law, vol. 20, no. 2, Summer 2014. https://heinonline.org/HOL/P?h=hein.journals/jstl20&i=292)//mgm

It is somewhat circular for courts to hold that the public interest supporting the denial of a permanent injunction is the harm resulting from the availability of only one medical option. The fundamental basis of patent law is to grant exclusive rights for a limited time.248 In other words, the desired effect of the patent system is precisely to have only one option for statutorily limited time. Taken to its logical conclusion, this argument seems to indicate that it is contrary to public interest to allow any patent protection for medical procedures and medical devices in an effort to foster competition and increase the availability of alternative products. Still, in Bard, the court deemed the two devices at issue interchangeable.249 If that is the case, does the denial of a permanent injunction actually serve the purpose of providing more options to the public?

Public interest is not solely allocated to concerns regarding the cost and availability of health care. Society also has an interest in incentivizing innovation, from which the public benefits during the patent term (though perhaps at a higher cost) and, more importantly, after the patent term upon the invention's entrance to the public domain.250 Patent law aims to foster competition only after the patent term expires.251

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2AC—Med Tech › UQ › 2AC—UQ—MedTech Low

Nonuq – ebay vs merchexchange did not stop courts from removing medical supplies from the market

Wyatt 13 Lance Wyatt, attorney Lance Wyatt at Fish & Richardson via law news provider JD Supra extensive experience practicing in U.S. District Courts around the country, Rebuttable Presumption of Public Interest in Protecting the Public Health --The Necessity for Denying Injunctive Relief in Medically-Related Patent Infringement Cases after Ebay v. Mercexchange, 13 Chi.-Kent J. Intell. Prop. 298 (2013). Available at: em

REBUTTABLE PRESUMPTION OF PUBLIC INTEREST IN PROTECTING THE PUBLIC HEALTH-THE NECESSITY FOR DENYING INJUNCTIVE RELIEF IN MEDICALLY-RELATED PATENT INFRINGEMENT CASES AFTER EBAY V. MERCEXCHANGE Lance Wyatt INTRODUCTION The public's interest in medicine and good health is substantial. However, this interest is harmed when important medical devices or pharmaceuticals, although infringing on valid patents, are suddenly taken off the market after a court grants a permanent injunction. While permanent injunctions were automatically granted by the Federal Circuit before the Supreme Court's holding in eBay v. MercExchange, courts now have more discretion to deny injunctive relief. Now that courts have this newfound discretion after eBay, the public should no longer expect to be harmed by the sudden removal of medical supplies from the marketplace. Unfortunately, this has not been the course that all courts have taken post-eBay. To protect the public interest, courts should apply a rebuttable presumption in medically-related patent cases, finding that the public interest weighs against granting an injunction. This Comment highlights the necessity for this rebuttable presumption to help protect the public health. Part I provides a brief overview of the history of injunctive relief in patent infringement cases prior to 2006 and the few exceptions applied to deny injunctions. Part II analyzes the eBay v. MercExchange case, from its beginning in the district court to its remand back to the district court after the landmark decision in the Supreme Court. Next, Part III provides an overview of general trends regarding injunctive relief in patent infringement cases post-eBay and also analyzes the courts' treatment of injunctive relief in recent cases in the medical patent space. Finally, in Part IV expresses the importance of the public interest in medicine and the public health and lays out the multiple reasons why it is necessary that the courts to apply a rebuttable presumption of public interest to deny injunctive relief in patent cases involving medically-related patents. Lastly, a set of hypothetical situations is offered to emphasize the necessity of the rebuttable presumption. Copyright © 2014 Lance Wyatt. J.D. Candidate, 2014, SMU Dedman School of Law; B.S. Biomedical Engineering, 2011, Texas A&M University. The author would like to thank his family for their unending support. No. 1] Rebuttable Presumption of Public Interest in Protecting the Public Health 299 I. INJUNCTIVE RELIEF IN PATENT INFRINGEMENT CASES PRIOR TO 2006 A. Injunctive Relief Overview The United States Constitution provides Congress with the enumerated power "to promote the progress of science and useful arts, by securing for limited times to ... inventors the exclusive right to their respective ... discoveries."1 Pursuant to this power, the Patent Act of 1952, as amended, governs patent law in the United States.2 A patent grants its holder the "right to exclude others from making, using, offering for sale, or selling the invention throughout the United States" for a certain amount of time.3 When this right to exclude is infringed upon, courts "may grant injunctions in accordance with the principles of equity to prevent the violation of any right secured by patent, on such terms as the court deems reasonable."4 Courts have traditionally established that a plaintiff seeking a permanent injunction must satisfy a four-factor test before being granted such relief.' These factors include: (1) that [the plaintiff] has suffered an irreparable injury; (2) that remedies available at law, such as monetary damages, are inadequate to compensate for that injury; (3) that, considering the balance of hardships between the plaintiff and defendant, a remedy in equity is warranted; and (4) that the public interest would not be disserved by a permanent injunction.6 However, not all courts have followed this four-factor test. B. Federal Circuit's "General Rule" The Federal Circuit Court of Appeals, established in 1982 and given exclusive patent appellate jurisdiction,' did not follow this traditional four-factor test prior to 2006.8 Instead, the Federal Circuit followed a "general rule that an injunction will issue when infringement has been adjudged, absent a sound reason for denying it."9 This "automatic injunction rule," or "general rule," arose U.S. CONST. art. I, § 8, cl. 8. 2 35 U.S.C. § 101 (2006); see Sue Ann Mota, eBay v. MercExchange: Traditional Four-Factor Test for Injunctive Relief Applies to Patent Cases.

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Medtech innovation slow now—6 warrants.

Gielen 23—MD, Cardiologist & Internal Medicine Specialist (Willem. “Why Is It So Hard for Tech to Innovate in Healthcare?” Medium, 13 June 2023,

In recent years, we’ve seen technology revolutionize industries from transport to commerce. However, one area that hasn’t seen the same level of innovation is healthcare. Despite the potential for life-saving and life-enhancing advances, the pace of technological disruption in healthcare seems to be relatively slow. In this article, would like to explore some of the key reasons why tech companies are finding it difficult to innovate in healthcare.

1. Regulatory Hurdles

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2AC—Green Tech › Impact › 2AC—A2: !—Warming

Gleditsch 2021

[Nils P., Research Professor at the Peace Research Institute Oslo, “This time is different! Or is it? NeoMalthusians and environmental optimists in the age of climate change,” Journal of Peace Research, pg. 5-6, 2021, SAGE]

The most extreme contrarian position is, of course, to deny one or both key conclusions of the IPCC: the reality of global warming or the human contribution to it. However, most environmental optimists accept these two key conclusions but raise other problems with the panel’s discussion of the social effects of climate change and even more so with popular interpretations of the panel reports. For instance, Hausfather & Peters (2020), by no means ‘climate deniers’, decry the common use of choosing the high-risk [scenario] RCP8.59 to illustrate ‘business as usual’ as misleading. The causal chains from climate change to the proposed effects on human beings are long and complex, and the uncertainty increases every step of the way. In the literature on the social effects of climate change, including the IPCC reports, statements abound that something ‘may’ lead to something else, or that a variable ‘is sensitive to’ another, without any guidelines for how to translate this into probabilities (Gleditsch & Nordås, 2014: 87f). Uncritical use of the precautionary principle, where any remotely possible calamity unwittingly becomes a probable event, is not helpful. Gleditsch & Nordås (2014: 85) note that while AR5 (IPCC, 2014) did not find strong evidence for a direct link between climate change and conflict, it argued that climate change is likely to impact known conflict-inducing factors like poverty and inconsistent political institutions and therefore might have an indirect effect on conflict. But this assumes that correlations are transitive, which is not generally the case. If A correlates with B and B with C, we know nothing about how A relates to C unless both correlations are extremely high. The strongest case for the climate–conflict link is the effect of interaction between climate change and factors like poverty, state failure, or ethnic polarization. It may be more cost-effective to try to deal with these other risk factors than with global warming itself if the goal is to reduce the ‘risk multiplier’ effect of climate change on armed conflict. The articles in this special issue do not generally see scarcity by itself as necessarily resulting in strongly negative outcomes. Factors like development, state failure, and previous overload on ecosystems continue to play an important role in that they interact with climate change to produce conflict and other social outcomes. For instance, Ide, Kristensen & Bartusevicˆius (2021) conclude that the impact of floods on political conflict are contingent on other factors such as population size and regime type. Moreover, most of the articles do not assume that scarcities are likely to arise at the global level. They may be regional (mostly in Africa), national, or local. Urban and rural areas may be affected by different scarcities. Climate change may also affect particularly strongly groups that are already at an economic or political disadvantage. The effects can be alleviated and adaptations constructed at these levels. The argument about how climate change may indirectly impact conflict leans heavily on the negative economic consequences of climate change, but with little or no reference to the research that explicitly deals with this topic. In fact, the relevant chapter in AR5 concluded that for most sectors of the economy, the impact of climate change was likely to be dwarfed by other factors. Tol (2018) finds that the long-term global economic effects are likely to be negative, but that a century of climate change will have about the same impact on the economy as the loss of one year of economic growth. Other economists are more cautious, but the dean of climate change economics, William Nordhaus (2018: 345, 359), estimates that ‘damages are 2.1 percent of global income at 3C warming and 8.5 percent of income at 6C’, while also warning that the longer the delay in taking decisive action, the harsher the necessary countermeasures. Stern (2006) is more pessimistic, based mainly on a lower discount rate (the interest rate used to calculate the present value of future cash flows) as are Wagner & Weitzman (2015). Heal (2017) argues that the Integrated Assessment Models generally used in the assessment of the economics of climate change are not accurate enough to provide quantitative insights and should not be taken as serious forecasts. Yet, all these economists take the basically optimistic view that climate change is manageable with appropriate policies for raising the price on the emission of greenhouse gases. With a chapter heading from Wagner & Weitzman (2015: 17): ‘We can do this’. This more optimistic assessment of climate change does not assume that the challenge will go away by itself or can be left to the market. A plausible approach, favored by most economists,10 is the imposition of a robust and increasing price on carbon emissions (whether as a carbon tax or through a cap and trade scheme) high enough to reduce the use of fossil fuels and encourage the search for their replacement. More than 25 countries had such taxes by early 2018 (Metcalf, 2019), but generally not at a level seen as necessary for limiting global warming to, say, 2C. This approach relies on the use of the market mechanism, but with targets fixed by public policy. Income from a carbon tax can be channeled back to the citizens to avoid increasing overall taxation. To speed up the transition, funds can also be allocated to the research and development of cheaper and more efficient production of various forms of fossil-free energy, including nuclear power (Goldstein & Qvist, 2019). The response of the environmental optimists continues to emphasize the role of innovations; technological innovations, such as improvements in battery technology, the key element in the 2019 Nobel Prize in chemistry,11 but also social innovations, as exemplified by the experimental approach to the alleviation of poverty, rewarded in the same year by the Nobel Prize in economics.12 While the most important countermeasures will be directed at the mitigation of climate change, there is also a strong case for adaptation. If sea-level rise cannot be totally prevented, dikes and flood barriers will be cost-effective and necessary, at least in high-value urban areas. If parts of Africa suffer from drought, there will be increased use for new crops that are more suitable for a dry climate, possibly developed in part by GMO technology. Industrialization in Africa can decrease the one-sided reliance on rain-fed agriculture, as it has in other parts of the world, which have moved human resources from the primary sector to industry (and then to services). Continuing urbanization will move millions out of the most vulnerable communities (Collier, 2010). While structural change failed to produce economic growth in Latin America and Africa after 1990, Africa has experienced a turnaround in the new millennium (McMillan & Rodrik, 2014) and there are also potentials for increasing productivity by structural change within agriculture in Africa (McCullough, 2017).

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2AC—Green Tech › Impact › 2AC—Green Tech Fails

Tech can’t solve environmental problems -- Jevons paradox

Alexander, 15- lecturer at the Office for Environmental Programs at the University of Melbourne who wrote his PhD thesis on degrowth (Samuel Alexander, 2015, “Prosperous Descent: Crisis as Opportunity in an Age of Limits,” published by The Simplicity Institute, pg. 68-69)

This mainstream vision of how to achieve a sustainable world is coherent in theory, at best, but demonstrably it does not reflect empirical reality (see Alexander, 2014). Although many economies around the world are indeed getting better at producing commodities more cleanly and efficiently (a process known as ‘relative decoupling’), overall ecological impact is nevertheless still increasing, because every year increasing numbers of commodities are being produced, exchanged, and consumed as a result of growing economies (Jackson, 2009, Ch. 5). We might have more fuel-efficient cars, for example, but the rebound effect is that we are also driving more and buying more cars. This is but one example of the ‘Jevons paradox’ that permeates market societies and beyond (Polimeni et al., 2009) – a paradox, so-called, because a per unit reduction in the throughput of commodities does not always lead to reduced ecological impact, since those efficiency improvements are often outweighed by the increasing amounts of commodities that are consumed (Holm and Englund, 2009). The implication of this is that technology and efficiency improvements are not going to solve the ecological crisis, as their most optimistic advocates and popular consciousness seem to assume they can (Lovins, 1998) – at least, not unless the highly developed nations also transition away from growth economics. Efficiency without sufficiency is lost.

2024 CNDI Disadvantage
2AC—Green Tech › Impact › 2AC—Green Tech Fails

Green tech’s fiction—no capability or political will.

Allwood 21—Professor of engineering and the environment at the University of Cambridge Department of Engineering and fellow of the Royal Academy of Engineering (Julian. “Technology Will Not Solve the Problem of Climate Change.” Financial Times, 16 Nov. 2021, https://www.ft.com/content/207a8762-e00c-4926-addd-38a487a0995f)//mgm

The climate summit in Glasgow was a failure because it was predicated on the fiction that technology will solve the problem of climate change. Technology will not solve the problem because it cannot be scaled sufficiently in time. But basing the entire meeting on that assumption prevented any discussion of the real solutions which require specific restraints on a number of activities in rich countries and which can scale rapidly.

Every technological solution discussed at COP26 depends on just three resources: nelectricity (non-emitting electricity generated by hydropower, renewables or nuclear fission), carbon capture and storage (CCS) or biomass. The total demand for those resources required by the plans discussed at COP26 cannot be met.

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2AC—Green Tech › Link › 2AC—L/T—Innovation

Permanent injunctions are good: eBay decked the innovation economy by enabling predatory infringement.

Osenga 24—Austin E. Owen Research Scholar and Professor of Law at the University of Richmond School of Law (Kristen. The Loss of Injunctions under eBay: Evidence of the Negative Impact on the Innovation Economy. Hudson Institute, 28 Feb. 2024, https://www.hudson.org/regulation/loss-injunctions-under-ebay-evidence-negative-impact-innovation-economy)//mgm

In 2006, the Supreme Court changed the landscape of patent law with its decision in eBay v. MercExchange,1 creating a new test for injunctions that significantly altered this longstanding remedy for patent infringement. Injunctive relief for patent infringement was no longer certain. In fact, some patent owners could be almost certain that they would not be granted a permanent injunction against an infringer, with courts instead setting “ongoing royalties” for the continuing infringement. Infringers, knowing that they are unlikely to be enjoined, are—in certain cases—taking the risk to “infringe now, pay later.” This mindset is known as predatory infringement.2

As the twentieth anniversary of this landmark opinion looms, evidence of a more insidious fallout from eBay is accumulating. Not only does the lack of injunctive relief no longer serve as a deterrent to infringement, but it also negatively impacts the functioning of efficient markets and negotiations of fair market value. As economists have long explained, injunctions are the legal means by which property owners are able to set terms in commercial negotiations that result in business deals and other economic activities in the innovation economy. Specifically, when an injunction is available, a patent owner, like any other property owner, can say during the course of negotiations, “No, I will not license my patent to you at the price you are offering to me.” Parties who wish to use the patented technology will either need to pay the patent owner’s asking price or will need to opt for different technology.

2024 CNDI Disadvantage
2AC—Green Tech › UQ › 2AC—UQ—Green Tech Low

US green tech innovation is tanking and China fills in.

Gómez 6/12—Vice chair for the implementation of the UN Climate Convention, founder of Climate Resilient (Juan Carlos Monterrey. “America Is Losing the Clean Energy Race to China.” The Boston Globe, June 12, https://www.bostonglobe.com/2024/06/12/opinion/clean-energy-race-china)//mgm

The Biden administration’s ongoing war against TikTok is obscuring a far greater peril: China’s rapidly expanding technological dominance, particularly in burgeoning clean energy industries.

China now produces 80 percent of the world’s solar panel components, 86 percent of its lithium-ion batteries, 67 percent of wind turbine generator covers, and almost two-thirds of all electric vehicles. Its investments in clean energy and low-carbon manufacturing accounted for nearly 50 percent of global spending on such technologiesin 2022, about $546 billion. The United States spent just $141 billion in the same year.

2024 CNDI Disadvantage
*2NC—Med Tech* › Impact

Spread of disease leads to war

Lazar Berman 20, is a researcher at the Israel Defense Force Dado Center for Interdisciplinary Military Studies and is a fellow at the Jerusalem Institute for Strategy and Security. He is a reserve officer in the Israel Defense Force, “After the Calamity: Unexpected Effects of Epidemics on War”, july 30 2020, https://thestrategybridge.org/the-bridge/2020/7/30/after-the-calamity-unexpected-effects-of-epidemics-on-war

The Strategy Bridge After the Calamity: Unexpected Effects of Epidemics on War After the Calamity: Unexpected Effects of Epidemics on War Strategy Bridge July 30, 2020 Lazar Berman and Jennifer Tischler The COVID-19 pandemic is a novel event. It shut the world down as leading economies lay dormant and citizens stayed home for weeks on end. But pandemics have been shaping history for millennia. Ancient populations also quarantined, had their lives disrupted, and raged against authorities as deadly diseases ravaged their communities. As the world emerges from the pandemic, states will return to commerce, diplomacy, and war. Pre-existing rivalries will not disappear. However, many countries and non-state actors will emerge fundamentally changed, as will the dynamics between them. As military and political leaders try to make sense of how the coronavirus has altered relations with hostile actors, they can draw important insights from past epidemics and their effects on persistent conflicts throughout history. This article examines past epidemics, from the Peloponnesian War in 430 BCE through the modern era, to extract lessons on incentives for aggression, power balancing, alliances, and internal legitimacy. By studying the past, contemporary decision-makers will be better equipped to anticipate challenges and avoid recurring dangers in the wake of pandemics. LESSONS FROM PAST EPIDEMICS Disease weakens states and their ability to project military power. However, epidemics have also spurred stricken societies to military action, making them more aggressive in the short term. In 430 BCE, Athens was in year two of the Second Peloponnesian War against Sparta and its allies. Athenian leader Pericles gathered the population behind the Long Walls while the Spartans ravaged the countryside. A ghastly plague reached the port of Athens and then swept through the crowded city. At the height of the outbreak, Pericles sent a large expeditionary force—four thousand hoplites and three hundred cavalry––to raid the Peloponnesian coast. Why would he order a major amphibious operation while his city disintegrated from within and Spartans destroyed their fields? Pericles believed an offensive would likely lift Athenian spirits and, perhaps more importantly, protect a major part of its combat power by removing it from the diseased city.[1] View fullsize “Plague in an Ancient City” by Michiel Sweerts (Wikimedia) “Plague in an Ancient City” by Michiel Sweerts (Wikimedia) The Iroquois Confederacy—five tribes in modern New York State—traditionally fought what scholars call mourning wars. After losses in battle, Iroquois raiding parties would set out in search of captives. While some captives were ritually tortured, many were adopted into the tribe to replace the fallen warriors: "A father who has lost his son adopts a young prisoner in his place. An orphan takes a father or mother; a widow a husband.“[2] On a societal level, mourning wars served to maintain population numbers; on a familial level, they assured the physical and spiritual continuity of clans; and they helped individuals deal emotionally with loss.[3] The Iroquois were hit by smallpox and influenza, which likely arrived before they had ever seen Europeans. By the early 1640s, roughly half the Iroquois were dead.[4] Smallpox struck the Mohawk in 1647, the Onondaga in 1656-7, the Oneida, Onondaga, Cayuga, and Seneca in 1661-1663 and again in 1668.[5] The Seneca were also ravaged by influenza in 1676.[6] The Iroquois found themselves in a violent cycle. Disease led to more mourning wars, which were now deadlier with the introduction of muskets. The need to acquire guns further increased the importance of beaver furs, which resulted in wars with French-allied tribes. Deaths in these conflicts led to more mourning wars.[7] On the northern Plains, smallpox moved up from Mexico in the 1780s and wiped out up to half the population of semi-sedentary tribes on the upper Missouri River, including the Arikara.[8] The nomadic western Sioux tribes were barely touched and came to dominate their stricken neighbors. But as the Arikara huddled into what were effectively refugee camps with survivors from other tribes, some chiefs led attacks solely for the purpose of proving themselves and gaining new followers.[9] View fullsize Native Americans and the Smallpox Epidemic (DeWerWeld) Native Americans and the Smallpox Epidemic (DeWerWeld) Despite the evidence of short-term aggressiveness, in the long run, epidemics sap the will of societies to fight. Though Pericles was initially adventurous in 430 BCE, Athenian pluck did not last the summer. Patience with Pericles wore thin. Athenians eager to make peace with Sparta sent emissaries to try to find a way out of the war. Unfortunately for Athens, the effort failed. The fighting spirit of Athens remained dampened for years. In 428, the island of Lesbos revolted. Athens, which in the past crushed similar rebellions, looked for reasons not to act.[10] Only when diplomatic efforts were exhausted did it besiege the Lesbian city Mytilene. In July 1914, in the opening act of the First World War, Austria-Hungary invaded Serbia. Despite initial Serbian successes, it lost Belgrade in November as civilians fled south. Typhus began to appear and quickly spread among these refugees.[11] The epidemic swept rapidly through the country via the movement of refugees and soldiers. Within six months, one in five Serbs had developed typhus, with the overall mortality rate at 20%. Serbia was quickly overwhelmed—its few hospitals were filled and 126 of the country’s 400 doctors died of the disease.[12] Typhus left Serbia unable to defend itself; killing 70,000 in the military alone.[13] Renewed Austro-Hungarian offensives from October 1915, combined with Bulgaria’s entrance into the war, put Serbia in a perilous position. Typhus and combat casualties reduced its army from 300,000 men at the start of the war to 75,000, and half of Serbia fell under Central Powers control.[14] View fullsize A Ukrainian family with Typhus in 1921 (Wikimedia) A Ukrainian family with Typhus in 1921 (Wikimedia) One might assume that if one side in a conflict—like Austria-Hungary or Sparta—is unaffected by an epidemic, it will strike its weakened opponent, but history shows this is not always the case. Though it did not afflict Sparta, the plague seems to have diminished its desire to fight Athens directly. The Peloponnesians left Attica early in 430 BCE when they heard of the disease and witnessed its horror.[15] In addition, the Spartans invaded Attica every year from 431-425 BCE, except for 429 and 426 BCE. Both of those years followed major outbreaks of the plague.[16] Sparta could have pressed its advantage while Athens tended to its sick and dying, but its leaders chose to avoid it entirely. Austria-Hungary behaved similarly. Despite declaring war on Serbia in July 1914, it did not invade again until late 1915. Having seen the devastating impact of typhus on Serbia, Austro-Hungarian commanders were loath to expose their armies to the disease. By waiting, Austria-Hungary lost an opportunity to tip the balance of power towards the Central Powers.[17] Stricken countries like Serbia are badly weakened in the long-term but are not helpless. History shows that these actors often seek new allies to help offset the dangerous erosion in national power. In the winter of 1621, Massasoit, a sachem from the Wampanoag confederacy in what is today southeastern Massachusetts, concluded a peace agreement with the Pilgrims in Plymouth. Massasoit did not negotiate with the settlers because he was afraid of them.[18] Sick and desperate, only about fifty had survived the winter. They did provide access to guns, which was probably less important than many assume. Massasoit was likely embarking on a complex and risky political endeavor in the wake of a cataclysmic plague. The epidemic ravaging the Wampanoag confederacy reached its peak in 1617, and lasted until 1619. It is not clear what it was, but the plague killed most of the native population from Boston Harbor to Plymouth. A contemporary chronicler wrote, “Thousands of men have lived there, which died in a great plague not long since.”[19] By 1621, Massasoit ruled a devastated confederation. Even worse for the Wampanoag, the plague did not reach the Narragansett, their bitter rivals to the west. Massasoit therefore viewed the Pilgrims in the context of the now perilous power imbalance with the Narragansett. The alliance could deter the Wampanoags’ rivals in two ways. The Narragansett did not necessarily know of the settlers’ pitiful state, and the pact could make Massasoit seem more powerful than he was. The Narragansetts also benefited greatly from their position as middlemen between English traders and other tribes. Massasoit may well have calculated the Narragansett would not want to risk their economic position by attacking allies of an English settlement.[20] View fullsize "The First Thanksgiving at Plymouth" by Jennie A. Brownscombe. How do plague and disease ask us to reexamine this narrative? (Wikimedia) "The First Thanksgiving at Plymouth" by Jennie A. Brownscombe. How do plague and disease ask us to reexamine this narrative? (Wikimedia) The semi-sedentary northern Plains tribes—the Mandan, Hidatsa, and Arikara—were devastated by smallpox starting in the 1780s and looked to a drastic new alliance structure to balance against the Sioux. Initially the Arikara joined the Sioux in attacks on the Mandan and Hidatsa, but soon allied with the latter, moving into consolidated villages for mutual defense. Despite sometimes fatal tensions in these multilingual villages, the three tribes at times managed to put aside differences to fight the Sioux. In 1811, American traders encountered 300 warriors from the three tribes on their way to attack the Sioux.[21] Epidemics also have profound effects within afflicted societies themselves. In both well-organized states and tribal societies, one of the most pronounced impacts is the populace's rejection of traditional practices and sources of authority

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*2NC—Med Tech* › Impact

Economic decline causes nuclear war and global existential accidents.

Dr. Mathew Maavak 21, PhD in Risk Foresight from the Universiti Teknologi Malaysia, External Researcher (PLATBIDAFO) at the Kazimieras Simonavicius University, Expert and Regular Commentator on Risk-Related Geostrategic Issues at the Russian International Affairs Council, “Horizon 2030: Will Emerging Risks Unravel Our Global Systems?”, Salus Journal – The Australian Journal for Law Enforcement, Security and Intelligence Professionals, Volume 9, Number 1, p. 2-8 

Various scholars and institutions regard global social instability as the greatest threat facing this decade. The catalyst has been postulated to be a Second Great Depression which, in turn, will have profound implications for global security and national integrity. This paper, written from a broad systems perspective, illustrates how emerging risks are getting more complex and intertwined; blurring boundaries between the economic, environmental, geopolitical, societal and technological taxonomy used by the World Economic Forum for its annual global risk forecasts. Tight couplings in our global systems have also enabled risks accrued in one area to snowball into a full-blown crisis elsewhere. The COVID-19 pandemic and its socioeconomic fallouts exemplify this systemic chain-reaction. Onceinexorable forces of globalization are rupturing as the current global system can no longer be sustained due to poor governance and runaway wealth fractionation. The coronavirus pandemic is also enabling Big Tech to expropriate the levers of governments and mass communications worldwide. This paper concludes by highlighting how this development poses a dilemma for security professionals. Key Words: Global Systems, Emergence, VUCA, COVID-9, Social Instability, Big Tech, Great Reset INTRODUCTION The new decade is witnessing rising volatility across global systems. Pick any random “system” today and chart out its trajectory: Are our education systems becoming more robust and affordable? What about food security? Are our healthcare systems improving? Are our pension systems sound? Wherever one looks, there are dark clouds gathering on a global horizon marked by volatility, uncertainty, complexity and ambiguity (VUCA). But what exactly is a global system? Our planet itself is an autonomous and selfsustaining mega-system, marked by periodic cycles and elemental vagaries. Human activities within however are not system isolates as our banking, utility, farming, healthcare and retail sectors etc. are increasingly entwined. Risks accrued in one system may cascade into an unforeseen crisis within and/or without (Choo, Smith & McCusker, 2007). Scholars call this phenomenon “emergence”; one where the behaviour of intersecting systems is determined by complex and largely invisible interactions at the substratum (Goldstein, 1999; Holland, 1998). The ongoing COVID-19 pandemic is a case in point. While experts remain divided over the source and morphology of the virus, the contagion has ramified into a global health crisis and supply chain nightmare. It is also tilting the geopolitical balance. China is the largest exporter of intermediate products, and had generated nearly 20% of global imports in 2015 alone (Cousin, 2020). The pharmaceutical sector is particularly vulnerable. Nearly “85% of medicines in the U.S. strategic national stockpile” sources components from China (Owens, 2020). An initial run on respiratory masks has now been eclipsed by rowdy queues at supermarkets and the bankruptcy of small businesses. The entire global population – save for major pockets such as Sweden, Belarus, Taiwan and Japan – have been subjected to cyclical lockdowns and quarantines. Never before in history have humans faced such a systemic, borderless calamity. COVID-19 represents a classic emergent crisis that necessitates real-time response and adaptivity in a real-time world, particularly since the global Just-in-Time (JIT) production and delivery system serves as both an enabler and vector for transboundary risks. From a systems thinking perspective, emerging risk management should therefore address a whole spectrum of activity across the economic, environmental, geopolitical, societal and technological (EEGST) taxonomy. Every emerging threat can be slotted into this taxonomy – a reason why it is used by the World Economic Forum (WEF) for its annual global risk exercises (Maavak, 2019a). As traditional forces of globalization unravel, security professionals should take cognizance of emerging threats through a systems thinking approach. METHODOLOGY An EEGST sectional breakdown was adopted to illustrate a sampling of extreme risks facing the world for the 2020-2030 decade. The transcendental quality of emerging risks, as outlined on Figure 1, below, was primarily informed by the following pillars of systems thinking (Rickards, 2020): • Diminishing diversity (or increasing homogeneity) of actors in the global system (Boli & Thomas, 1997; Meyer, 2000; Young et al, 2006); • Interconnections in the global system (Homer-Dixon et al, 2015; Lee & Preston, 2012); • Interactions of actors, events and components in the global system (Buldyrev et al, 2010; Bashan et al, 2013; Homer-Dixon et al, 2015); and • Adaptive qualities in particular systems (Bodin & Norberg, 2005; Scheffer et al, 2012) Since scholastic material on this topic remains somewhat inchoate, this paper buttresses many of its contentions through secondary (i.e. news/institutional) sources. ECONOMY According to Professor Stanislaw Drozdz (2018) of the Polish Academy of Sciences, “a global financial crash of a previously unprecedented scale is highly probable” by the mid- 2020s. This will lead to a trickle-down meltdown, impacting all areas of human activity. The economist John Mauldin (2018) similarly warns that the “2020s might be the worst decade in US history” and may lead to a Second Great Depression. Other forecasts are equally alarming. According to the International Institute of Finance, global debt may have surpassed $255 trillion by 2020 (IIF, 2019). Yet another study revealed that global debts and liabilities amounted to a staggering $2.5 quadrillion (Ausman, 2018). The reader should note that these figures were tabulated before the COVID-19 outbreak. The IMF singles out widening income inequality as the trigger for the next Great Depression (Georgieva, 2020). The wealthiest 1% now own more than twice as much wealth as 6.9 billion people (Coffey et al, 2020) and this chasm is widening with each passing month. COVID-19 had, in fact, boosted global billionaire wealth to an unprecedented $10.2 trillion by July 2020 (UBS-PWC, 2020). Global GDP, worth $88 trillion in 2019, may have contracted by 5.2% in 2020 (World Bank, 2020). As the Greek historian Plutarch warned in the 1st century AD: “An imbalance between rich and poor is the oldest and most fatal ailment of all republics” (Mauldin, 2014). The stability of a society, as Aristotle argued even earlier, depends on a robust middle element or middle class. At the rate the global middle class is facing catastrophic debt and unemployment levels, widespread social disaffection may morph into outright anarchy (Maavak, 2012; DCDC, 2007). Economic stressors, in transcendent VUCA fashion, may also induce radical geopolitical realignments. Bullions now carry more weight than NATO’s security guarantees in Eastern Europe. After Poland repatriated 100 tons of gold from the Bank of England in 2019, Slovakia, Serbia and Hungary quickly followed suit. According to former Slovak Premier Robert Fico, this erosion in regional trust was based on historical precedents – in particular the 1938 Munich Agreement which ceded Czechoslovakia’s Sudetenland to Nazi Germany. As Fico reiterated (Dudik & Tomek, 2019): “You can hardly trust even the closest allies after the Munich Agreement… I guarantee that if something happens, we won’t see a single gram of this (offshore-held) gold. Let’s do it (repatriation) as quickly as possible.” (Parenthesis added by author). President Aleksandar Vucic of Serbia (a non-NATO nation) justified his central bank’s gold-repatriation program by hinting at economic headwinds ahead: “We see in which direction the crisis in the world is moving” (Dudik & Tomek, 2019). Indeed, with two global Titanics – the United States and China – set on a collision course with a quadrillions-denominated iceberg in the middle, and a viral outbreak on its tip, the seismic ripples will be felt far, wide and for a considerable period. A reality check is nonetheless needed here: Can additional bullions realistically circumvallate the economies of 80 million plus peoples in these Eastern European nations, worth a collective $1.8 trillion by purchasing power parity? Gold however is a potent psychological symbol as it represents national sovereignty and economic reassurance in a potentially hyperinflationary world. The portents are clear: The current global economic system will be weakened by rising nationalism and autarkic demands. Much uncertainty remains ahead. Mauldin (2018) proposes the introduction of Old Testament-style debt jubilees to facilitate gradual national recoveries. The World Economic Forum, on the other hand, has long proposed a “Great Reset” by 2030; a socialist utopia where “you’ll own nothing and you’ll be happy” (WEF, 2016). In the final analysis, COVID-19 is not the root cause of the current global economic turmoil; it is merely an accelerant to a burning house of cards that was left smouldering since the 2008 Great Recession (Maavak, 2020a). We also see how the four main pillars of systems thinking (diversity, interconnectivity, interactivity and “adaptivity”) form the mise en scene in a VUCA decade. ENVIRONMENTAL What happens to the environment when our economies implode? Think of a debt-laden workforce at sensitive nuclear and chemical plants, along with a concomitant surge in industrial accidents? Economic stressors, workforce demoralization and rampant profiteering – rather than manmade climate change – arguably pose the biggest threats to the environment. In a WEF report, Buehler et al (2017) made the following pre-COVID-19 observation: The ILO estimates that the annual cost to the global economy from accidents and work-related diseases alone is a staggering $3 trillion. Moreover, a recent report suggests the world’s 3.2 billion workers are increasingly unwell, with the vast majority facing significant economic insecurity: 77% work in part-time, temporary, “vulnerable” or unpaid jobs. Shouldn’t this phenomenon be better categorized as a societal or economic risk rather than an environmental one? In line with the systems thinking approach, however, global risks can no longer be boxed into a taxonomical silo. Frazzled workforces may precipitate another Bhopal (1984), Chernobyl (1986), Deepwater Horizon (2010) or Flint water crisis (2014). These disasters were notably not the result of manmade climate change. Neither was the Fukushima nuclear disaster (2011) nor the Indian Ocean tsunami (2004). Indeed, the combustion of a long-overlooked cargo of 2,750 tonnes of ammonium nitrate had nearly levelled the city of Beirut, Lebanon, on Aug 4 2020. The explosion left 204 dead; 7,500 injured; US$15 billion in property damages; and an estimated 300,000 people homeless (Urbina, 2020). The environmental costs have yet to be adequately tabulated. Environmental disasters are more attributable to Black Swan events, systems breakdowns and corporate greed rather than to mundane human activity. Our JIT world aggravates the cascading potential of risks (Korowicz, 2012). Production and delivery delays, caused by the COVID-19 outbreak, will eventually require industrial overcompensation. This will further stress senior executives, workers, machines and a variety of computerized systems. The trickle-down effects will likely include substandard products, contaminated food and a general lowering in health and safety standards (Maavak, 2019a). Unpaid or demoralized sanitation workers may also resort to indiscriminate waste dumping. Many cities across the United States (and elsewhere in the world) are no longer recycling wastes due to prohibitive costs in the global corona-economy (Liacko, 2021). Even in good times, strict protocols on waste disposals were routinely ignored. While Sweden championed the global climate change narrative, its clothing flagship H&M was busy covering up toxic effluences disgorged by vendors along the Citarum River in Java, Indonesia. As a result, countless children among 14 million Indonesians straddling the “world’s most polluted river” began to suffer from dermatitis, intestinal problems, developmental disorders, renal failure, chronic bronchitis and cancer (DW, 2020). It is also in cauldrons like the Citarum River where pathogens may mutate with emergent ramifications. On an equally alarming note, depressed economic conditions have traditionally provided a waste disposal boon for organized crime elements. Throughout 1980s, the Calabriabased ‘Ndrangheta mafia – in collusion with governments in Europe and North America – began to dump radioactive wastes along the coast of Somalia. Reeling from pollution and revenue loss, Somali fisherman eventually resorted to mass piracy (Knaup, 2008). The coast of Somalia is now a maritime hotspot, and exemplifies an entwined form of economic-environmental-geopolitical-societal emergence. In a VUCA world, indiscriminate waste dumping can unexpectedly morph into a Black Hawk Down incident. The laws of unintended consequences are governed by actors, interconnections, interactions and adaptations in a system under study – as outlined in the methodology section. Environmentally-devastating industrial sabotages – whether by disgruntled workers, industrial competitors, ideological maniacs or terrorist groups – cannot be discounted in a VUCA world. Immiserated societies, in stark defiance of climate change diktats, may resort to dirty coal plants and wood stoves for survival. Interlinked ecosystems, particularly water resources, may be hijacked by nationalist sentiments. The environmental fallouts of critical infrastructure (CI) breakdowns loom like a Sword of Damocles over this decade. GEOPOLITICAL The primary catalyst behind WWII was the Great Depression. Since history often repeats itself, expect familiar bogeymen to reappear in societies roiling with impoverishment and ideological clefts. Anti-Semitism – a societal risk on its own – may reach alarming proportions in the West (Reuters, 2019), possibly forcing Israel to undertake reprisal operations inside allied nations. If that happens, how will affected nations react? Will security resources be reallocated to protect certain minorities (or the Top 1%) while larger segments of society are exposed to restive forces? Balloon effects like these present a classic VUCA problematic. Contemporary geopolitical risks include a possible Iran-Israel war; US-China military confrontation over Taiwan or the South China Sea; North Korean proliferation of nuclear and missile technologies; an India-Pakistan nuclear war; an Iranian closure of the Straits of Hormuz; fundamentalist-driven implosion in the Islamic world; or a nuclear confrontation between NATO and Russia. Fears that the Jan 3 2020 assassination of Iranian Maj. Gen. Qasem Soleimani might lead to WWIII were grossly overblown. From a systems perspective, the killing of Soleimani did not fundamentally change the actor-interconnection-interaction adaptivity equation in the Middle East. Soleimani was simply a cog who got replaced. 

2024 CNDI Disadvantage
*2NC—Med Tech* › Impact

Disease induced pandemics lead to economic collapse

Kurt 21 Daniel Kurt, aniel has 10+ years of experience reporting on investments and personal finance for outlets like AARP Bulletin and Exceptional magazine, in addition to being a column writer for Fatherly “The Special Economic Impact of Pandemics“, December 17, 2021. Investopedia, ,

The advent of a pandemic is a good time to analyze your financial situation and plan for the worst. It’s never too late. The Interconnected Economy Certain industries, such as travel and hospitality, felt the pandemic’s impact most directly. Shops and restaurants closed their doors altogether or opened with low seating capacity and low demand to dine in. Nonessential travel evaporated, causing massive lost revenue for not only airlines and cruise ship operators but also smaller businesses that rely on tourism dollars. Those employed in seemingly unrelated industries also felt the secondary effects of social distancing. For example, manufacturers—especially outside the medical field—saw fewer orders as shopping slowed down and demand dwindled for nonessential goods, such as new clothes. Banks absorbed the loss of mortgage payments due to government-mandated forbearance rules. 7 And oil companies saw prices plummet as demand weakened due to a sharp decline in everyday travel. 8 Fear of the unknown only exacerbated these economic impacts. Even individuals and families with ostensibly stable employment limited their purchases in case the financial aftershock couldn’t be contained. Measuring the Effect of a Pandemic Every pandemic is unique, which makes measuring the repercussions of this type of crisis especially challenging. What’s more, there simply aren’t many examples that compare to the worst-case estimates of COVID-19’s effects. For example, the H1N1 flu of 2009 was widespread but not as deadly. The U.S. Centers for Disease Control and Prevention (CDC) estimates that there were 61 million H1N1 cases in the United States, resulting in fewer than 13,000 deaths. 9 The closest modern comparison to the COVID-19 pandemic occurred more than a century ago, when the so-called Spanish Flu (another H1N1 virus, though a different strain than the 2009 version) ravaged the globe from 1918 to 1919. According to CDC estimates, roughly 500 million people became ill with the disease, which ultimately took about 50 million lives worldwide. 10 Economic data from the early 20th century is scarce. However, an analysis by the Fed of St. Louis estimated that many businesses, particularly service- and entertainment-oriented ones, “suffered double-digit losses in revenue.” 5 Back then, the economic disruption was short-lived, as the underlying health emergency subsided in 1919. How does the current pandemic compare? Though the mortality rate of COVID-19 has been significantly lower than that of the Spanish Flu, its economic toll is already severe. 11 Because the underlying virus is so contagious—a group of researchers from the University of Hong Kong and Harvard University estimated that one-quarter to one-half of the world’s population would likely contract the virus “absent drastic control measures or a vaccine”—governments around the world took drastic measures to control its spread. 12 But those actions, which included keeping most shoppers and restaurant patrons at home, came at a big economic price. 50.3 million The number of COVID-19 cases reported in the United States as of March 19, 2022, which so far have resulted in over 969,000 deaths. 13 The World Health Organization (WHO), meanwhile, reported roughly 271 million confirmed cases and 6.06 million deaths worldwide. 14 The Economic Impact of COVID-19 Many workers and potential shoppers sequestered themselves in the early days of the COVID-19 pandemic, which had a momentous impact on the global economy, as well as that of the United States. For example, U.S. retail sales plunged in April 2020 before recovering by July 2020. 15 On top of that, Fed data showed the worst dip in manufacturing output since the 1940s, although it has since rebounded. 16 Of course, that sudden drop in demand had a disastrous effect on employment. The national unemployment rate climbed as high as 14.8% in April 2020 before dropping to 6.2% in February 2021. By November 2021, it had dropped to 4.2%. 17 Additional estimates indicated more than 25.7 million workers were affected by the pandemic. This figure included those whose hours or compensation were cut and those who were completely unemployed, among others. 18 Those economic shockwaves were felt from Beijing to Madrid, creating a drag on the world economy that hasn’t been seen for decades.

2024 CNDI Disadvantage
*2NC—Med Tech* › Impact

Pandemics are the biggest risk to civilization---outweigh and turn other impacts

Jaime Yassif 17, PhD, Program Officer, Biosecurity and Pandemic Preparedness, Open Philanthropy Project, August 2017, “Reducing Global Catastrophic Biological Risks,” Health Security, Vol. 15, No. 4, p. 329-330

Reducing global catastrophic risks (GCRs) is one of our top priorities at the Open Philanthropy Project. * We have a particular interest in addressing GCRs from biological sources—or global catastrophic biological risks (GCBRs), to use the term coined by the Johns Hopkins Center for Health Security. As we build our new biosecurity and pandemic preparedness (BPP) program, we're putting a lot of thought into our definition of GCBRs and how to make high-impact investments that reduce these risks. We are delighted that the Center for Health Security has initiated this discussion, and we're pleased to have the opportunity to share our thoughts on the topic.

In establishing GCRs as one of our program areas and biosecurity and pandemic preparedness as one of our specific focuses, the Open Philanthropy Project systematically assessed a wide range of potential GCR sources—including climate change, nuclear weapons, artificial intelligence, asteroids, and volcanos.1 We came to the conclusion that pandemics are among the most important, tractable, and neglected potential causes of such a catastrophic event.†