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Weiye Loh

The Inequality That Matters - Tyler Cowen - The American Interest Magazine - 0 views

  • most of the worries about income inequality are bogus, but some are probably better grounded and even more serious than even many of their heralds realize.
  • In terms of immediate political stability, there is less to the income inequality issue than meets the eye. Most analyses of income inequality neglect two major points. First, the inequality of personal well-being is sharply down over the past hundred years and perhaps over the past twenty years as well. Bill Gates is much, much richer than I am, yet it is not obvious that he is much happier if, indeed, he is happier at all. I have access to penicillin, air travel, good cheap food, the Internet and virtually all of the technical innovations that Gates does. Like the vast majority of Americans, I have access to some important new pharmaceuticals, such as statins to protect against heart disease. To be sure, Gates receives the very best care from the world’s top doctors, but our health outcomes are in the same ballpark. I don’t have a private jet or take luxury vacations, and—I think it is fair to say—my house is much smaller than his. I can’t meet with the world’s elite on demand. Still, by broad historical standards, what I share with Bill Gates is far more significant than what I don’t share with him.
  • when average people read about or see income inequality, they don’t feel the moral outrage that radiates from the more passionate egalitarian quarters of society. Instead, they think their lives are pretty good and that they either earned through hard work or lucked into a healthy share of the American dream.
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  • This is why, for example, large numbers of Americans oppose the idea of an estate tax even though the current form of the tax, slated to return in 2011, is very unlikely to affect them or their estates. In narrowly self-interested terms, that view may be irrational, but most Americans are unwilling to frame national issues in terms of rich versus poor. There’s a great deal of hostility toward various government bailouts, but the idea of “undeserving” recipients is the key factor in those feelings. Resentment against Wall Street gamesters hasn’t spilled over much into resentment against the wealthy more generally. The bailout for General Motors’ labor unions wasn’t so popular either—again, obviously not because of any bias against the wealthy but because a basic sense of fairness was violated. As of November 2010, congressional Democrats are of a mixed mind as to whether the Bush tax cuts should expire for those whose annual income exceeds $250,000; that is in large part because their constituents bear no animus toward rich people, only toward undeservedly rich people.
  • envy is usually local. At least in the United States, most economic resentment is not directed toward billionaires or high-roller financiers—not even corrupt ones. It’s directed at the guy down the hall who got a bigger raise. It’s directed at the husband of your wife’s sister, because the brand of beer he stocks costs $3 a case more than yours, and so on. That’s another reason why a lot of people aren’t so bothered by income or wealth inequality at the macro level. Most of us don’t compare ourselves to billionaires. Gore Vidal put it honestly: “Whenever a friend succeeds, a little something in me dies.”
  • Occasionally the cynic in me wonders why so many relatively well-off intellectuals lead the egalitarian charge against the privileges of the wealthy. One group has the status currency of money and the other has the status currency of intellect, so might they be competing for overall social regard? The high status of the wealthy in America, or for that matter the high status of celebrities, seems to bother our intellectual class most. That class composes a very small group, however, so the upshot is that growing income inequality won’t necessarily have major political implications at the macro level.
  • All that said, income inequality does matter—for both politics and the economy.
  • The numbers are clear: Income inequality has been rising in the United States, especially at the very top. The data show a big difference between two quite separate issues, namely income growth at the very top of the distribution and greater inequality throughout the distribution. The first trend is much more pronounced than the second, although the two are often confused.
  • When it comes to the first trend, the share of pre-tax income earned by the richest 1 percent of earners has increased from about 8 percent in 1974 to more than 18 percent in 2007. Furthermore, the richest 0.01 percent (the 15,000 or so richest families) had a share of less than 1 percent in 1974 but more than 6 percent of national income in 2007. As noted, those figures are from pre-tax income, so don’t look to the George W. Bush tax cuts to explain the pattern. Furthermore, these gains have been sustained and have evolved over many years, rather than coming in one or two small bursts between 1974 and today.1
  • At the same time, wage growth for the median earner has slowed since 1973. But that slower wage growth has afflicted large numbers of Americans, and it is conceptually distinct from the higher relative share of top income earners. For instance, if you take the 1979–2005 period, the average incomes of the bottom fifth of households increased only 6 percent while the incomes of the middle quintile rose by 21 percent. That’s a widening of the spread of incomes, but it’s not so drastic compared to the explosive gains at the very top.
  • The broader change in income distribution, the one occurring beneath the very top earners, can be deconstructed in a manner that makes nearly all of it look harmless. For instance, there is usually greater inequality of income among both older people and the more highly educated, if only because there is more time and more room for fortunes to vary. Since America is becoming both older and more highly educated, our measured income inequality will increase pretty much by demographic fiat. Economist Thomas Lemieux at the University of British Columbia estimates that these demographic effects explain three-quarters of the observed rise in income inequality for men, and even more for women.2
  • Attacking the problem from a different angle, other economists are challenging whether there is much growth in inequality at all below the super-rich. For instance, real incomes are measured using a common price index, yet poorer people are more likely to shop at discount outlets like Wal-Mart, which have seen big price drops over the past twenty years.3 Once we take this behavior into account, it is unclear whether the real income gaps between the poor and middle class have been widening much at all. Robert J. Gordon, an economist from Northwestern University who is hardly known as a right-wing apologist, wrote in a recent paper that “there was no increase of inequality after 1993 in the bottom 99 percent of the population”, and that whatever overall change there was “can be entirely explained by the behavior of income in the top 1 percent.”4
  • And so we come again to the gains of the top earners, clearly the big story told by the data. It’s worth noting that over this same period of time, inequality of work hours increased too. The top earners worked a lot more and most other Americans worked somewhat less. That’s another reason why high earners don’t occasion more resentment: Many people understand how hard they have to work to get there. It also seems that most of the income gains of the top earners were related to performance pay—bonuses, in other words—and not wildly out-of-whack yearly salaries.5
  • It is also the case that any society with a lot of “threshold earners” is likely to experience growing income inequality. A threshold earner is someone who seeks to earn a certain amount of money and no more. If wages go up, that person will respond by seeking less work or by working less hard or less often. That person simply wants to “get by” in terms of absolute earning power in order to experience other gains in the form of leisure—whether spending time with friends and family, walking in the woods and so on. Luck aside, that person’s income will never rise much above the threshold.
  • The funny thing is this: For years, many cultural critics in and of the United States have been telling us that Americans should behave more like threshold earners. We should be less harried, more interested in nurturing friendships, and more interested in the non-commercial sphere of life. That may well be good advice. Many studies suggest that above a certain level more money brings only marginal increments of happiness. What isn’t so widely advertised is that those same critics have basically been telling us, without realizing it, that we should be acting in such a manner as to increase measured income inequality. Not only is high inequality an inevitable concomitant of human diversity, but growing income inequality may be, too, if lots of us take the kind of advice that will make us happier.
  • Why is the top 1 percent doing so well?
  • Steven N. Kaplan and Joshua Rauh have recently provided a detailed estimation of particular American incomes.6 Their data do not comprise the entire U.S. population, but from partial financial records they find a very strong role for the financial sector in driving the trend toward income concentration at the top. For instance, for 2004, nonfinancial executives of publicly traded companies accounted for less than 6 percent of the top 0.01 percent income bracket. In that same year, the top 25 hedge fund managers combined appear to have earned more than all of the CEOs from the entire S&P 500. The number of Wall Street investors earning more than $100 million a year was nine times higher than the public company executives earning that amount. The authors also relate that they shared their estimates with a former U.S. Secretary of the Treasury, one who also has a Wall Street background. He thought their estimates of earnings in the financial sector were, if anything, understated.
  • Many of the other high earners are also connected to finance. After Wall Street, Kaplan and Rauh identify the legal sector as a contributor to the growing spread in earnings at the top. Yet many high-earning lawyers are doing financial deals, so a lot of the income generated through legal activity is rooted in finance. Other lawyers are defending corporations against lawsuits, filing lawsuits or helping corporations deal with complex regulations. The returns to these activities are an artifact of the growing complexity of the law and government growth rather than a tale of markets per se. Finance aside, there isn’t much of a story of market failure here, even if we don’t find the results aesthetically appealing.
  • When it comes to professional athletes and celebrities, there isn’t much of a mystery as to what has happened. Tiger Woods earns much more, even adjusting for inflation, than Arnold Palmer ever did. J.K. Rowling, the first billionaire author, earns much more than did Charles Dickens. These high incomes come, on balance, from the greater reach of modern communications and marketing. Kids all over the world read about Harry Potter. There is more purchasing power to spend on children’s books and, indeed, on culture and celebrities more generally. For high-earning celebrities, hardly anyone finds these earnings so morally objectionable as to suggest that they be politically actionable. Cultural critics can complain that good schoolteachers earn too little, and they may be right, but that does not make celebrities into political targets. They’re too popular. It’s also pretty clear that most of them work hard to earn their money, by persuading fans to buy or otherwise support their product. Most of these individuals do not come from elite or extremely privileged backgrounds, either. They worked their way to the top, and even if Rowling is not an author for the ages, her books tapped into the spirit of their time in a special way. We may or may not wish to tax the wealthy, including wealthy celebrities, at higher rates, but there is no need to “cure” the structural causes of higher celebrity incomes.
  • to be sure, the high incomes in finance should give us all pause.
  • The first factor driving high returns is sometimes called by practitioners “going short on volatility.” Sometimes it is called “negative skewness.” In plain English, this means that some investors opt for a strategy of betting against big, unexpected moves in market prices. Most of the time investors will do well by this strategy, since big, unexpected moves are outliers by definition. Traders will earn above-average returns in good times. In bad times they won’t suffer fully when catastrophic returns come in, as sooner or later is bound to happen, because the downside of these bets is partly socialized onto the Treasury, the Federal Reserve and, of course, the taxpayers and the unemployed.
  • if you bet against unlikely events, most of the time you will look smart and have the money to validate the appearance. Periodically, however, you will look very bad. Does that kind of pattern sound familiar? It happens in finance, too. Betting against a big decline in home prices is analogous to betting against the Wizards. Every now and then such a bet will blow up in your face, though in most years that trading activity will generate above-average profits and big bonuses for the traders and CEOs.
  • To this mix we can add the fact that many money managers are investing other people’s money. If you plan to stay with an investment bank for ten years or less, most of the people playing this investing strategy will make out very well most of the time. Everyone’s time horizon is a bit limited and you will bring in some nice years of extra returns and reap nice bonuses. And let’s say the whole thing does blow up in your face? What’s the worst that can happen? Your bosses fire you, but you will still have millions in the bank and that MBA from Harvard or Wharton. For the people actually investing the money, there’s barely any downside risk other than having to quit the party early. Furthermore, if everyone else made more or less the same mistake (very surprising major events, such as a busted housing market, affect virtually everybody), you’re hardly disgraced. You might even get rehired at another investment bank, or maybe a hedge fund, within months or even weeks.
  • Moreover, smart shareholders will acquiesce to or even encourage these gambles. They gain on the upside, while the downside, past the point of bankruptcy, is borne by the firm’s creditors. And will the bondholders object? Well, they might have a difficult time monitoring the internal trading operations of financial institutions. Of course, the firm’s trading book cannot be open to competitors, and that means it cannot be open to bondholders (or even most shareholders) either. So what, exactly, will they have in hand to object to?
  • Perhaps more important, government bailouts minimize the damage to creditors on the downside. Neither the Treasury nor the Fed allowed creditors to take any losses from the collapse of the major banks during the financial crisis. The U.S. government guaranteed these loans, either explicitly or implicitly. Guaranteeing the debt also encourages equity holders to take more risk. While current bailouts have not in general maintained equity values, and while share prices have often fallen to near zero following the bust of a major bank, the bailouts still give the bank a lifeline. Instead of the bank being destroyed, sometimes those equity prices do climb back out of the hole. This is true of the major surviving banks in the United States, and even AIG is paying back its bailout. For better or worse, we’re handing out free options on recovery, and that encourages banks to take more risk in the first place.
  • there is an unholy dynamic of short-term trading and investing, backed up by bailouts and risk reduction from the government and the Federal Reserve. This is not good. “Going short on volatility” is a dangerous strategy from a social point of view. For one thing, in so-called normal times, the finance sector attracts a big chunk of the smartest, most hard-working and most talented individuals. That represents a huge human capital opportunity cost to society and the economy at large. But more immediate and more important, it means that banks take far too many risks and go way out on a limb, often in correlated fashion. When their bets turn sour, as they did in 2007–09, everyone else pays the price.
  • And it’s not just the taxpayer cost of the bailout that stings. The financial disruption ends up throwing a lot of people out of work down the economic food chain, often for long periods. Furthermore, the Federal Reserve System has recapitalized major U.S. banks by paying interest on bank reserves and by keeping an unusually high interest rate spread, which allows banks to borrow short from Treasury at near-zero rates and invest in other higher-yielding assets and earn back lots of money rather quickly. In essence, we’re allowing banks to earn their way back by arbitraging interest rate spreads against the U.S. government. This is rarely called a bailout and it doesn’t count as a normal budget item, but it is a bailout nonetheless. This type of implicit bailout brings high social costs by slowing down economic recovery (the interest rate spreads require tight monetary policy) and by redistributing income from the Treasury to the major banks.
  • the “going short on volatility” strategy increases income inequality. In normal years the financial sector is flush with cash and high earnings. In implosion years a lot of the losses are borne by other sectors of society. In other words, financial crisis begets income inequality. Despite being conceptually distinct phenomena, the political economy of income inequality is, in part, the political economy of finance. Simon Johnson tabulates the numbers nicely: From 1973 to 1985, the financial sector never earned more than 16 percent of domestic corporate profits. In 1986, that figure reached 19 percent. In the 1990s, it oscillated between 21 percent and 30 percent, higher than it had ever been in the postwar period. This decade, it reached 41 percent. Pay rose just as dramatically. From 1948 to 1982, average compensation in the financial sector ranged between 99 percent and 108 percent of the average for all domestic private industries. From 1983, it shot upward, reaching 181 percent in 2007.7
  • There’s a second reason why the financial sector abets income inequality: the “moving first” issue. Let’s say that some news hits the market and that traders interpret this news at different speeds. One trader figures out what the news means in a second, while the other traders require five seconds. Still other traders require an entire day or maybe even a month to figure things out. The early traders earn the extra money. They buy the proper assets early, at the lower prices, and reap most of the gains when the other, later traders pile on. Similarly, if you buy into a successful tech company in the early stages, you are “moving first” in a very effective manner, and you will capture most of the gains if that company hits it big.
  • The moving-first phenomenon sums to a “winner-take-all” market. Only some relatively small number of traders, sometimes just one trader, can be first. Those who are first will make far more than those who are fourth or fifth. This difference will persist, even if those who are fourth come pretty close to competing with those who are first. In this context, first is first and it doesn’t matter much whether those who come in fourth pile on a month, a minute or a fraction of a second later. Those who bought (or sold, as the case may be) first have captured and locked in most of the available gains. Since gains are concentrated among the early winners, and the closeness of the runner-ups doesn’t so much matter for income distribution, asset-market trading thus encourages the ongoing concentration of wealth. Many investors make lots of mistakes and lose their money, but each year brings a new bunch of projects that can turn the early investors and traders into very wealthy individuals.
  • These two features of the problem—“going short on volatility” and “getting there first”—are related. Let’s say that Goldman Sachs regularly secures a lot of the best and quickest trades, whether because of its quality analysis, inside connections or high-frequency trading apparatus (it has all three). It builds up a treasure chest of profits and continues to hire very sharp traders and to receive valuable information. Those profits allow it to make “short on volatility” bets faster than anyone else, because if it messes up, it still has a large enough buffer to pad losses. This increases the odds that Goldman will repeatedly pull in spectacular profits.
  • Still, every now and then Goldman will go bust, or would go bust if not for government bailouts. But the odds are in any given year that it won’t because of the advantages it and other big banks have. It’s as if the major banks have tapped a hole in the social till and they are drinking from it with a straw. In any given year, this practice may seem tolerable—didn’t the bank earn the money fair and square by a series of fairly normal looking trades? Yet over time this situation will corrode productivity, because what the banks do bears almost no resemblance to a process of getting capital into the hands of those who can make most efficient use of it. And it leads to periodic financial explosions. That, in short, is the real problem of income inequality we face today. It’s what causes the inequality at the very top of the earning pyramid that has dangerous implications for the economy as a whole.
  • What about controlling bank risk-taking directly with tight government oversight? That is not practical. There are more ways for banks to take risks than even knowledgeable regulators can possibly control; it just isn’t that easy to oversee a balance sheet with hundreds of billions of dollars on it, especially when short-term positions are wound down before quarterly inspections. It’s also not clear how well regulators can identify risky assets. Some of the worst excesses of the financial crisis were grounded in mortgage-backed assets—a very traditional function of banks—not exotic derivatives trading strategies. Virtually any asset position can be used to bet long odds, one way or another. It is naive to think that underpaid, undertrained regulators can keep up with financial traders, especially when the latter stand to earn billions by circumventing the intent of regulations while remaining within the letter of the law.
  • For the time being, we need to accept the possibility that the financial sector has learned how to game the American (and UK-based) system of state capitalism. It’s no longer obvious that the system is stable at a macro level, and extreme income inequality at the top has been one result of that imbalance. Income inequality is a symptom, however, rather than a cause of the real problem. The root cause of income inequality, viewed in the most general terms, is extreme human ingenuity, albeit of a perverse kind. That is why it is so hard to control.
  • Another root cause of growing inequality is that the modern world, by so limiting our downside risk, makes extreme risk-taking all too comfortable and easy. More risk-taking will mean more inequality, sooner or later, because winners always emerge from risk-taking. Yet bankers who take bad risks (provided those risks are legal) simply do not end up with bad outcomes in any absolute sense. They still have millions in the bank, lots of human capital and plenty of social status. We’re not going to bring back torture, trial by ordeal or debtors’ prisons, nor should we. Yet the threat of impoverishment and disgrace no longer looms the way it once did, so we no longer can constrain excess financial risk-taking. It’s too soft and cushy a world.
  • Why don’t we simply eliminate the safety net for clueless or unlucky risk-takers so that losses equal gains overall? That’s a good idea in principle, but it is hard to put into practice. Once a financial crisis arrives, politicians will seek to limit the damage, and that means they will bail out major financial institutions. Had we not passed TARP and related policies, the United States probably would have faced unemployment rates of 25 percent of higher, as in the Great Depression. The political consequences would not have been pretty. Bank bailouts may sound quite interventionist, and indeed they are, but in relative terms they probably were the most libertarian policy we had on tap. It meant big one-time expenses, but, for the most part, it kept government out of the real economy (the General Motors bailout aside).
  • We probably don’t have any solution to the hazards created by our financial sector, not because plutocrats are preventing our political system from adopting appropriate remedies, but because we don’t know what those remedies are. Yet neither is another crisis immediately upon us. The underlying dynamic favors excess risk-taking, but banks at the current moment fear the scrutiny of regulators and the public and so are playing it fairly safe. They are sitting on money rather than lending it out. The biggest risk today is how few parties will take risks, and, in part, the caution of banks is driving our current protracted economic slowdown. According to this view, the long run will bring another financial crisis once moods pick up and external scrutiny weakens, but that day of reckoning is still some ways off.
  • Is the overall picture a shame? Yes. Is it distorting resource distribution and productivity in the meantime? Yes. Will it again bring our economy to its knees? Probably. Maybe that’s simply the price of modern society. Income inequality will likely continue to rise and we will search in vain for the appropriate political remedies for our underlying problems.
Weiye Loh

Bankers, Buyouts & Billionaires: Why Big Herba's Research Deficit Isn't About The Money « Alternative Medicine « Health « Skeptic North - 0 views

  • A skeptic challenges a natural health product for the lack of an evidentiary base.  A proponent of that product responds that the skeptic has made a logical error – an absence of evidence is not evidence of absence, and in such a scenario it’s not unreasonable to rely on patient reporting and traditional uses as a guide. The skeptic chimes back with a dissertation on the limits of anecdotal evidence and arguments from antiquity — especially when the corresponding pharma products have a data trail supporting their safety and efficacy. The proponent responds that it’s unfair to hold natural health products to the same evidentiary standard, because only pharma has the money to fund proper research, and they only do so for products they can patent. You can’t patent nature, so no research into natural health products gets done.
  • look here, here, and here for recent examples
  • natural health industry isn’t rich enough to sustain proper research.  Is that true? Natural health, by the numbers On the surface, it certainly wouldn’t appear so. While the industry can be difficult to get a bead on – due both to differing definitions of what it includes (organic foods? natural toothpaste?), and the fact that many of the key players are private companies that don’t report revenues – by any measure it’s sizable. A survey by the University of Guelph  references KPMG estimates that the Natural Health Products sector in Canada grew from $1.24B in 2000 to $1.82B in 2006 – a growth rate that would bring the market to about $2.5B today.   Figures from the Nutrition Business Journal quoted in the same survey seem to agree, suggesting Canada is 3% of a global “supplements” (herbal, homeopathy, vitamins) market that was $68B globally in 2006 and growing at 5% a year – bringing it to perhaps $85B today. Figures from various sources quoted in a recent Health Canada report support these estimates.
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  • While certainly not as big as the ($820B) pharmaceutical industry, $85B is still an awful lot of money, and it’s hard to imagine it not being enough to carve out a research budget from. Yet research isn’t done by entire industries, but by one tier of the value chain — the companies that manufacture and distribute the products.  If they’re not big enough to fund the type of research skeptics are looking for, it won’t be done, so let’s consider some of the bigger players before we make that call.
  • French giant Boiron (EPA:BOI) is by far the largest distributor of natural health products in Canada – they’re responsible for nearly 4000 (15%) of the 26,000 products approved by Health Canada’s Natural Health Products Directorate. They’re also one of largest natural health products companies globally, with 2010 revenues of €520M ($700M CAD) – a size achieved not just through the success of killer products like Oscillococcinum, but also through acquisitions. In recent years, the company has acquired both its main French rival Dolisos (giving them 90% of the French homeopathy market) and the largest homeopathy company in Belgium, Unda. So this is a big company that’s prepared to spend money to get even bigger. What about spending some of that money on research?  Well ostensibly it’s a priority: “Since 2005, we have devoted a growing level of resources to develop research,” they proclaim in the opening pages of their latest annual report, citing 70 in-progress research projects. Yet the numbers tell a different story – €4.2M in R&D expenditures in 2009, just 0.8% of revenues.
  • To put that in perspective, consider that in the same year, GlaxoSmithKline spent 14% of its revenues on R&D, Pfizer spent 15%, and Merck spent a whopping 21%.
  • But if Boiron’s not spending like pharma on research, there’s one line item where they do go toe to toe: Marketing. The company spent €114M – a full 21% of revenues on Marketing in 2009. By contrast, GSK, Pfizer and Merck reported 33%, 29%, and 30% of revenues respectively on their “Selling, General, and Administrative” (SG&A) line – which includes not just sales & Marketing expenses, but also executive salaries, support staff, legal, rent, utilities, and other overhead costs. Once those are subtracted out, it’s likely that Boiron spends at least as much of its revenues on Marketing as Big Pharma.
yongernn teo

Eli Lilly Accused of Unethical Marketing of Zyprexa - 0 views

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    Summary of the Unethical Marketing of Zyprexa by Eli Lilly: \n\nEli Lilly is a global pharmaceutical company. In the year 2006, it was charged with unethical Marketing of Zyprexa, the top-selling drug. It is approved only for the treatment of schizophrenia and bipolar disorder. \nFirstly, Eli Lilly in a report downplayed the risks of obesity and increased blood sugar associated with Zyprexa. Although Eli Lilly was aware of these risks for at least a decade, they went ahead without emphasizing the significance of these risks, in fear of jeopardizing their sales. \nSecondly, Eli Lilly held a promotional campaign called Viva Zyprexa, encouraging off-label usage of this drug in patients who had neither schizophrenia nor bipolar disorder. This campaign was targeted at the elderly who had dementia. However, this drug was not approved to treat dementia. In fact, it could increase the risk of death in older patients who had dementia-related psychosis. \nAll these were done to boost the sale of Zyprexa and to bring in more revenue for Eli Lilly. Zyprexa could alone bring in $4billion worth of sales annually. \n\nEthical Question:\nTo what extent should pharmaceutical companies go to inform potential consumers on the side-effects of their drugs? \n\nEthical Problem: \nThe information that is disseminated through Marketing campaigns have to be true and transparent. There should not be any hidden agenda behind the amount of information being released. In this case, to prevent sales from plummeting, Eli Lilly downplayed the side-effects of Zyprexa. It also encouraged off-label usage. \nIt is very important that pharmaceutical companies practice good ethics as this concerns the health of its consumers. While one drug may act as a remedy for a health-problem, it could possibly lead to other health problems due to the side-effects. All these have to be conveyed to the consumer who exchanges his money for the product. \nNot being transparent and honest with the information of the pr
Weiye Loh

McKinsey & Company - Clouds, big data, and smart assets: Ten tech-enabled business trends to watch - 0 views

  • 1. Distributed cocreation moves into the mainstreamIn the past few years, the ability to organise communities of Web participants to develop, market, and support products and services has moved from the margins of business practice to the mainstream. Wikipedia and a handful of open-source software developers were the pioneers. But in signs of the steady march forward, 70 per cent of the executives we recently surveyed said that their companies regularly created value through Web communities. Similarly, more than 68m bloggers post reviews and recommendations about products and services.
  • for every success in tapping communities to create value, there are still many failures. Some companies neglect the up-front research needed to identify potential participants who have the right skill sets and will be motivated to participate over the longer term. Since cocreation is a two-way process, companies must also provide feedback to stimulate continuing participation and commitment. Getting incentives right is important as well: cocreators often value reputation more than money. Finally, an organisation must gain a high level of trust within a Web community to earn the engagement of top participants.
  • 2. Making the network the organisation In earlier research, we noted that the Web was starting to force open the boundaries of organisations, allowing nonemployees to offer their expertise in novel ways. We called this phenomenon "tapping into a world of talent." Now many companies are pushing substantially beyond that starting point, building and managing flexible networks that extend across internal and often even external borders. The recession underscored the value of such flexibility in managing volatility. We believe that the more porous, networked organisations of the future will need to organise work around critical tasks rather than molding it to constraints imposed by corporate structures.
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  • 3. Collaboration at scale Across many economies, the number of people who undertake knowledge work has grown much more quickly than the number of production or transactions workers. Knowledge workers typically are paid more than others, so increasing their productivity is critical. As a result, there is broad interest in collaboration technologies that promise to improve these workers' efficiency and effectiveness. While the body of knowledge around the best use of such technologies is still developing, a number of companies have conducted experiments, as we see in the rapid growth rates of video and Web conferencing, expected to top 20 per cent annually during the next few years.
  • 4. The growing ‘Internet of Things' The adoption of RFID (radio-frequency identification) and related technologies was the basis of a trend we first recognised as "expanding the frontiers of automation." But these methods are rudimentary compared with what emerges when assets themselves become elements of an information system, with the ability to capture, compute, communicate, and collaborate around information—something that has come to be known as the "Internet of Things." Embedded with sensors, actuators, and communications capabilities, such objects will soon be able to absorb and transmit information on a massive scale and, in some cases, to adapt and react to changes in the environment automatically. These "smart" assets can make processes more efficient, give products new capabilities, and spark novel business models. Auto insurers in Europe and the United States are testing these waters with offers to install sensors in customers' vehicles. The result is new pricing models that base charges for risk on driving behavior rather than on a driver's demographic characteristics. Luxury-auto manufacturers are equipping vehicles with networked sensors that can automatically take evasive action when accidents are about to happen. In medicine, sensors embedded in or worn by patients continuously report changes in health conditions to physicians, who can adjust treatments when necessary. Sensors in manufacturing lines for products as diverse as computer chips and pulp and paper take detailed readings on process conditions and automatically make adjustments to reduce waste, downtime, and costly human interventions.
  • 5. Experimentation and big data Could the enterprise become a full-time laboratory? What if you could analyse every transaction, capture insights from every customer interaction, and didn't have to wait for months to get data from the field? What if…? Data are flooding in at rates never seen before—doubling every 18 months—as a result of greater access to customer data from public, proprietary, and purchased sources, as well as new information gathered from Web communities and newly deployed smart assets. These trends are broadly known as "big data." Technology for capturing and analysing information is widely available at ever-lower price points. But many companies are taking data use to new levels, using IT to support rigorous, constant business experimentation that guides decisions and to test new products, business models, and innovations in customer experience. In some cases, the new approaches help companies make decisions in real time. This trend has the potential to drive a radical transformation in research, innovation, and marketing.
  • Using experimentation and big data as essential components of management decision making requires new capabilities, as well as organisational and cultural change. Most companies are far from accessing all the available data. Some haven't even mastered the technologies needed to capture and analyse the valuable information they can access. More commonly, they don't have the right talent and processes to design experiments and extract business value from big data, which require changes in the way many executives now make decisions: trusting instincts and experience over experimentation and rigorous analysis. To get managers at all echelons to accept the value of experimentation, senior leaders must buy into a "test and learn" mind-set and then serve as role models for their teams.
  • 6. Wiring for a sustainable world Even as regulatory frameworks continue to evolve, environmental stewardship and sustainability clearly are C-level agenda topics. What's more, sustainability is fast becoming an important corporate-performance metric—one that stakeholders, outside influencers, and even financial markets have begun to track. Information technology plays a dual role in this debate: it is both a significant source of environmental emissions and a key enabler of many strategies to mitigate environmental damage. At present, information technology's share of the world's environmental footprint is growing because of the ever-increasing demand for IT capacity and services. Electricity produced to power the world's data centers generates greenhouse gases on the scale of countries such as Argentina or the Netherlands, and these emissions could increase fourfold by 2020. McKinsey research has shown, however, that the use of IT in areas such as smart power grids, efficient buildings, and better logistics planning could eliminate five times the carbon emissions that the IT industry produces.
  • 7. Imagining anything as a service Technology now enables companies to monitor, measure, customise, and bill for asset use at a much more fine-grained level than ever before. Asset owners can therefore create services around what have traditionally been sold as products. Business-to-business (B2B) customers like these service offerings because they allow companies to purchase units of a service and to account for them as a variable cost rather than undertake large capital investments. Consumers also like this "paying only for what you use" model, which helps them avoid large expenditures, as well as the hassles of buying and maintaining a product.
  • In the IT industry, the growth of "cloud computing" (accessing computer resources provided through networks rather than running software or storing data on a local computer) exemplifies this shift. Consumer acceptance of Web-based cloud services for everything from e-mail to video is of course becoming universal, and companies are following suit. Software as a service (SaaS), which enables organisations to access services such as customer relationship management, is growing at a 17 per cent annual rate. The biotechnology company Genentech, for example, uses Google Apps for e-mail and to create documents and spreadsheets, bypassing capital investments in servers and software licenses. This development has created a wave of computing capabilities delivered as a service, including infrastructure, platform, applications, and content. And vendors are competing, with innovation and new business models, to match the needs of different customers.
  • 8. The age of the multisided business model Multisided business models create value through interactions among multiple players rather than traditional one-on-one transactions or information exchanges. In the media industry, advertising is a classic example of how these models work. Newspapers, magasines, and television stations offer content to their audiences while generating a significant portion of their revenues from third parties: advertisers. Other revenue, often through subscriptions, comes directly from consumers. More recently, this advertising-supported model has proliferated on the Internet, underwriting Web content sites, as well as services such as search and e-mail (see trend number seven, "Imagining anything as a service," earlier in this article). It is now spreading to new markets, such as enterprise software: Spiceworks offers IT-management applications to 950,000 users at no cost, while it collects advertising from B2B companies that want access to IT professionals.
  • 9. Innovating from the bottom of the pyramid The adoption of technology is a global phenomenon, and the intensity of its usage is particularly impressive in emerging markets. Our research has shown that disruptive business models arise when technology combines with extreme market conditions, such as customer demand for very low price points, poor infrastructure, hard-to-access suppliers, and low cost curves for talent. With an economic recovery beginning to take hold in some parts of the world, high rates of growth have resumed in many developing nations, and we're seeing companies built around the new models emerging as global players. Many multinationals, meanwhile, are only starting to think about developing markets as wellsprings of technology-enabled innovation rather than as traditional manufacturing hubs.
  • 10. Producing public good on the grid The role of governments in shaping global economic policy will expand in coming years. Technology will be an important factor in this evolution by facilitating the creation of new types of public goods while helping to manage them more effectively. This last trend is broad in scope and draws upon many of the other trends described above.
Weiye Loh

Skepticblog » Why are textbooks so expensive? - 0 views

  • As an author, I’ve seen how the sales histories of textbooks work. Typically they have a big spike of sales for the first 1-2 years after they are introduced, and that’s when most the new copies are sold and most of the publisher’s money is made. But by year 3  (and sometimes sooner), the sales plunge and within another year or two, the sales are miniscule. The publishers have only a few options in a situation like this. One option: they can price the book so that the first two years’ worth of sales will pay their costs back before the used copies wipe out their market, which is the major reason new copies cost so much. Another option (especially with high-volume introductory textbooks) is to revise it within 2-3 years after the previous edition, so the new edition will drive all the used copies off the shelves for another two years or so. This is also a common strategy. For my most popular books, the publisher expected me to be working on a new edition almost as soon as the previous edition came out, and 2-3 years later, the new edition (with a distinctive new cover, and sometimes with significant new content as well) starts the sales curve cycle all over again. One of my books is in its eighth edition, but there are introductory textbooks that are in the 15th or 20th edition.
  • For over 20 years now, I’ve heard all sorts of prophets saying that paper textbooks are dead, and predicting that all textbooks would be electronic within a few years. Year after year, I  hear this prediction—and paper textbooks continue to sell just fine, thank you.  Certainly, electronic editions of mass market best-sellers, novels and mysteries (usually cheaply produced with few illustrations) seem to do fine as Kindle editions or eBooks, and that market is well established. But electronic textbooks have never taken off, at least in science textbooks, despite numerous attempts to make them work. Watching students study, I have a few thoughts as to why this is: Students seem to feel that they haven’t “studied” unless they’ve covered their textbook with yellow highlighter markings. Although there are electronic equivalents of the highlighter marker pen, most of today’s students seem to prefer physically marking on a real paper book. Textbooks (especially science books) are heavy with color photographs and other images that don’t often look good on a tiny screen, don’t print out on ordinary paper well, but raise the price of the book. Even an eBook is going to be a lot more expensive with lots of images compared to a mass-market book with no art whatsoever. I’ve watched my students study, and they like the flexibility of being able to use their book just about anywhere—in bright light outdoors away from a power supply especially. Although eBooks are getting better, most still have screens that are hard to read in bright light, and eventually their battery will run out, whether you’re near a power supply or not. Finally, if  you drop your eBook or get it wet, you have a disaster. A textbook won’t even be dented by hard usage, and unless it’s totally soaked and cannot be dried, it does a lot better when wet than any electronic book.
  • A recent study found that digital textbooks were no panacea after all. Only one-third of the students said they were comfortable reading e-textbooks, and three-fourths preferred a paper textbook to an e-textbook if the costs were equal. And the costs have hidden jokers in the deck: e-textbooks may seem cheaper, but they tend to have built-in expiration dates and cannot be resold, so they may be priced below paper textbooks but end up costing about the same. E-textbooks are not that much cheaper for publishers, either, since the writing, editing, art manuscript, promotion, etc., all cost the publisher the same whether the final book is in paper or electronic. The only cost difference is printing and binding and shipping and storage vs. creating the electronic version.
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    But in the 1980s and 1990s, the market changed drastically with the expansion of used book recyclers. They set up shop at the bookstore door near the end of the semester and bought students' new copies for pennies on the dollar. They would show up in my office uninvited and ask if I want to sell any of the free adopter's copies that I get from publishers trying to entice me. If you walk through any campus bookstore, nearly all the new copies have been replaced by used copies, usually very tattered and with broken spines. The students naturally gravitate to the cheaper used books (and some prefer them because they like it if a previous owner has highlighted the important stuff). In many bookstores, there are no new copies at all, or just a few that go unsold. What these bargain hunters don't realize is that every used copy purchased means a new copy unsold. Used copies pay nothing to the publisher (or the author, either), so to recoup their costs, publishers must price their new copies to offset the loss of sales by used copies. And so the vicious circle begins-publisher raises the price on the book again, more students buy used copies, so a new copy keeps climbing in price.
Weiye Loh

'Scrapers' Dig Deep for Data on the Web - WSJ.com - 0 views

  • website PatientsLikeMe.com noticed suspicious activity on its "Mood" discussion board. There, people exchange highly personal stories about their emotional disorders, ranging from bipolar disease to a desire to cut themselves. It was a break-in. A new member of the site, using sophisticated software, was "scraping," or copying, every single message off PatientsLikeMe's private online forums.
  • PatientsLikeMe managed to block and identify the intruder: Nielsen Co., the privately held New York media-research firm. Nielsen monitors online "buzz" for clients, including major drug makers, which buy data gleaned from the Web to get insight from consumers about their products, Nielsen says.
  • The market for personal data about Internet users is booming, and in the vanguard is the practice of "scraping." Firms offer to harvest online conversations and collect personal details from social-networking sites, résumé sites and online forums where people might discuss their lives. The emerging business of web scraping provides some of the raw material for a rapidly expanding data economy. Marketers spent $7.8 billion on online and offline data in 2009, according to the New York management consulting firm Winterberry Group LLC. Spending on data from online sources is set to more than double, to $840 million in 2012 from $410 million in 2009.
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  • The Wall Street Journal's examination of scraping—a trade that involves personal information as well as many other types of data—is part of the newspaper's investigation into the business of tracking people's activities online and selling details about their behavior and personal interests.
  • Some companies collect personal information for detailed background reports on individuals, such as email addresses, cell numbers, photographs and posts on social-network sites. Others offer what are known as listening services, which monitor in real time hundreds or thousands of news sources, blogs and websites to see what people are saying about specific products or topics.
  • One such service is offered by Dow Jones & Co., publisher of the Journal. Dow Jones collects data from the Web—which may include personal information contained in news articles and blog postings—that help corporate clients monitor how they are portrayed. It says it doesn't gather information from password-protected parts of sites.
  • The competition for data is fierce. PatientsLikeMe also sells data about its users. PatientsLikeMe says the data it sells is anonymized, no names attached.
  • Nielsen spokesman Matt Anchin says the company's reports to its clients include publicly available information gleaned from the Internet, "so if someone decides to share personally identifiable information, it could be included."
  • Internet users often have little recourse if personally identifiable data is scraped: There is no national law requiring data companies to let people remove or change information about themselves, though some firms let users remove their profiles under certain circumstances.
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    he market for personal data about Internet users is booming, and in the vanguard is the practice of "scraping." Firms offer to harvest online conversations and collect personal details from social-networking sites, résumé sites and online forums where people might discuss their lives.
Weiye Loh

Breakthrough Europe: A (Heterodox) Lesson in Economics from Ha-Joon Chang - 0 views

  • But, to the surprise of the West, that steel mill grew out to be POSCO, the world's third-largest and Asia's most profitable steel maker.
  • South Korea's developmental state, which relied on active government investment in R&D and crucial support for capital-intensive sectors in the form of start-up subsidies and infant industry protection, transformed the country into the richest on the Asian continent (with the exception of Singapore and Hong Kong). LG and Hyundai are similar legacies of Korea's spectacular industrial policy success.
  • Even though they were not trained as economists, the economic officials of East Asia knew some economics. However, especially until the 1970s, the economics they knew was mostly not of the free-market variety. The economics they happened to know was the economics of Karl Marx, Friedrich List, Joseph Schumpeter, Nicholas Kaldor and Albert Hirschman. Of course, these economists lived in different times, contended with different problems and had radically differing political views (ranging from the very right-wing List to the very left-wing Marx). However, there was a commonality between their economics. It was the recognition that capitalism develops through long-term investments and technological innovations that transform the productive structure, and not merely an expansion of existing structures, like inflating a balloon.
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  • Arguing that governments can pick winners, Professor Chang urges us to reclaim economic planning, not as a token of centrally-planned communism, but rather as the simple reality behind our market economies today:
  • Capitalist economies are in large part planned. Governments in capitalist economies practice planning too, albeit on a more limited basis than under communist central planning. All of them finance a significant share of investment in R&D and infrastructure. Most of them plan a significant chunk of the economy through the planning of the activities of state-owned enterprises. Many capitalist governments plan the future shape of individual industrial sectors through sectoral industrial policy or even that of the national economy through indicative planning. More importantly, modern capitalist economies are made up of large, hierarchical corporations that plan their activities in great detail, even across national borders. Therefore, the question is not whether you plan or not. It is about planning the right things at the right levels.
  • Drawing a clear distinction between communist central planning and capitalist 'indicative' planning, Chang notes that the latter: ... involves the government ... setting some broad targets concerning key economic variables (e.g., investments in strategic industries, infrastructure development, exports) and working with, not against, the private sector to achieve them. Unlike under central planning, these targets are not legally binding; hence the adjective 'indicative'. However, the government will do its best to achieve them by mobilizing various carrots (e.g., subsidies, granting of monopoly rights) and sticks (e.g., regulations, influence through state-owned banks) at its disposal.
  • Chang observes that: France had great success in promoting investment and technological innovation through indicative planning in the 1950s and 60s, thereby overtaking the British economy as Europe's second industrial power. Other European countries, such as Finland, Norway and Austria, also successfully used indicative planning to upgrade their economies between the 1950s and the 1970s. The East Asian miracle economies of Japan, Korea and Taiwan used indicative planning too between the 1950s and 1980s. This is not to say that all indicative planning exercises have been successful; in India, for example, it has not. Nevertheless, the European and East Asian examples show that planning in certain forms is not incompatible with capitalism and may even promote capitalist development very well.
  • As we have argued before, the current crisis raging through Europe (in large part caused by free-market economics), forces us to reconsider our economic options. More than ever before, now is the time to rehabilitate indicative planning and industrial policy as key levers in our arsenal of policy tools.
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    heterodox Cambridge economist exposes 23 myths behind the neoliberal free-market dogma and urges us to recognize that "capitalism develops through long-term investments and technological innovations," spearheaded by an activist state committed to sustainable economic development.
Karin Tan

Pornography as a living? - 8 views

http://www.americanchronicle.com/articles/view/104278 This article illustrates the profitability of the pornography market today, and also claims that about 12 percent of the websites available on...

pornography

started by Karin Tan on 02 Sep 09 no follow-up yet
Reseena Abdullah

Telecoms in emerging markets - 0 views

http://www.economist.com/printedition/displaystory.cfm?story_id=14483896 The article above details the issue surrounding the telecommunications markets in the developing countries. It mentions how...

started by Reseena Abdullah on 07 Oct 09 no follow-up yet
Weiye Loh

Turning Privacy "Threats" Into Opportunities - Esther Dyson - Project Syndicate - 0 views

  • ost disclosure statements are not designed to be read; they are designed to be clicked on. But some companies actually want their customers to read and understand the statements. They don’t want customers who might sue, and, just in case, they want to be able to prove that the customers did understand the risks. So the leaders in disclosure statements right now tend to be financial and health-care companies – and also space-travel and extreme-sports vendors. They sincerely want to let their customers know what they are getting into, because a regretful customer is a vengeful one. That means making disclosure statements readable. I would suggest turning them into a quiz. The user would not simply click a single button, but would have to select the right button for each question. For example: What are my chances of dying in space? A) 5% B) 30% C) 1-4% (the correct answer, based on experience so far; current spacecraft are believed to be safer.) Now imagine: Who can see my data? A) I can. B) XYZ Corporation. C) XYZ Corporation’s marketing partners. (Click here to see the list.) D) XYZ Corporation’s affiliates and anyone it chooses. As the customer picks answers, she gets a good idea of what is going on. In fact, if you're a marketer, why not dispense with a single right answer and let the consumer specify what she wants to have happen with her data (and corresponding privileges/access rights if necessary)? That’s much more useful than vague policy statements. Suddenly, the disclosure statement becomes a consumer application that adds value to the vendor-consumer relationship.
  • And show the data themselves rather than a description.
  • this is all very easy if you are the site with which the user communicates directly; it is more difficult if you are in the background, a third party collecting information surreptitiously. But that practice should be stopped, anyway.
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  • just as they have with Facebook, users will become more familiar with the idea of setting their own privacy preferences and managing their own data. Smart vendors will learn from Facebook; the rest will lose out to competitors. Visualizing the user's information and providing an intelligible interface is an opportunity for competitive advantage.
  • I see this happening already with a number of companies, including some with which I am involved. For example, in its research surveys, 23andMe asks people questions such as how often they have headaches or whether they have ever been exposed to pesticides, and lets them see (in percentages) how other 23andMe users answer the question. This kind of information is fascinating to most people. TripIt lets you compare and match your own travel plans with those of friends. Earndit lets you compete with others to exercise more and win points and prizes.
  • Consumers increasingly expect to be able to see themselves both as individuals and in context. They will feel more comfortable about sharing data if they feel confident that they know what is shared and what is not. The online world will feel like a well-lighted place with shops, newsstands, and the like, where you can see other people and they can see you. Right now, it more often feels like lurking in a spooky alley with a surveillance camera overlooking the scene.
  • Of course, there will be “useful” data that an individual might not want to share – say, how much alcohol they buy, which diseases they have, or certain of their online searches. They will know how to keep such information discreet, just as they might close the curtains to get undressed in their hotel room after enjoying the view from the balcony. Yes, living online takes a little more thought than living offline. But it is not quite as complex once Internet-based services provide the right tools – and once awareness and control of one’s own data become a habit.
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    companies see consumer data as something that they can use to target ads or offers, or perhaps that they can sell to third parties, but not as something that consumers themselves might want. Of course, this is not an entirely new idea, but most pundits on both sides - privacy advocates and marketers - don't realize that rather than protecting consumers or hiding from them, companies should be bringing them into the game. I believe that successful companies will turn personal data into an asset by giving it back to their customers in an enhanced form. I am not sure exactly how this will happen, but current players will either join this revolution or lose out.
Weiye Loh

Android software piracy rampant despite Google's efforts to curb - Computerworld - 0 views

  • Some have argued that piracy is rampant in those countries where the online Android Market is not yet available. But a recent KeyesLabs research project suggests that may not be true. KeyesLabs created a rough methodology to track total downloads of its apps, determine which ones were pirated, and the location of the end users. The results were posted in August, along with a “heat map” showing pirate activity. 
  • In July 2010, Google announced the Google Licensing Service, available via Android Market. Applications can include the new License Verification Library (LVL). “At run time, with the inclusion of a set of libraries provided by us, your application can query the Android Market licensing server to determine the license status of your users,” according to a blog post by Android engineer Eric Chu. “It returns information on whether your users are authorized to use the app based on stored sales records.”
  • Justin Case, at the Android Police Web site, dissected the LVL. “A minor patch to an application employing this official, Google-recommended protection system will render it completely worthless,” he concluded.
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  • In response, Google has promised continued improvements and outlined a multipronged strategy around the new licensing service to make piracy much harder. “A determined attacker who’s willing to disassemble and reassemble code can eventually hack around the service,” acknowledged Android engineer Trevor Johns in a recent blog post.  But developers can make their work much harder by combining a cluster of techniques, he counsels: obfuscating code, modifying the licensing library to protect against common cracking techniques, designing the app to be tamper-resistant, and offloading license validation to a trusted server.
  • Gareau isn’t quite as convinced of the benefits of code obfuscation, though he does make use of it. He’s taken several other steps to protect his software work. One is providing a free trial version, which allows only a limited amount of data but is otherwise fully-featured. The idea: Let customers prove that the app will do everything they want, and they may be more willing to pay for it. He also provides a way to detect whether the app has been tampered with, for example, by removing the licensing checks. If yes, the app can be structured to stop working or behave erratically.
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    Android software piracy rampant despite Google's efforts to curb
Weiye Loh

What If The Very Theory That Underlies Why We Need Patents Is Wrong? | Techdirt - 0 views

  • Scott Walker points us to a fascinating paper by Carliss Y. Baldwin and Eric von Hippel, suggesting that some of the most basic theories on which the patent system is based are wrong, and because of that, the patent system might hinder innovation.
  • numerous other research papers and case studies that suggest that the patent system quite frequently hinders innovation, but this one approaches it from a different angle than ones we've seen before, and is actually quite convincing. It looks at the putative putative theory that innovation comes from a direct profit motive of a single corporation looking to sell the good in market, and for that to work, the company needs to take the initial invention and get temporary monopoly protection to keep out competitors in order to recoup the cost of research and development.
  • the paper goes through a whole bunch of studies suggesting that quite frequently innovation happens through a very different process: either individuals or companies directly trying to solve a problem they themselves have (i.e., the initial motive is not to profit directly from sales, but to help them in something they were doing) or through a much more collaborative process, whereby multiple parties all contribute to the process of innovation, somewhat openly, recognizing that as each contributes some, everyone benefits. As the report notes: This result hinges on the fact that the innovative design itself is a non-rival good: each participant in a collaborative effort gets the value of the whole design, but incurs only a fraction of the design cost.
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  • patents are designed to make that sort of thing more difficult, because it assumes that the initial act of invention is the key point, rather than all the incremental innovations built on top of it that all parties can benefit from.
  • the report points to numerous studies that show, when given the chance, many companies freely share their ideas with others, recognizing the direct benefit they get.
  • Even more importantly, the paper finds that due to technological advances and the ability to more rapidly and easily communicate and collaborate widely, these forms of innovation (innovation for direct use as well as collaborative innovation) are becoming more and more viable across a variety of industries, which in the past may have relied more on the old way of innovating (single company innovative for the profit of selling that product).
  • because of the ease of communication and collaboration these days, there's tremendous incentive for those companies that innovate for their own use to collaborate with others, since the benefit from others improving as well help improve their own uses. Thus, the overall incentives are to move much more to a collaborative form of innovation in the market. That has huge implications for a patent system designed to help the "old model" of innovation (producer inventing for the market) and not the increasingly regular one (collaborative innovation for usage).
  • no one is saying that producer-based innovation (company inventing to sell on the market) doesn't occur or won't continue to occur. But it is an open policy question as to whether or not our innovation policies should favor that model over other models -- when evidence suggests that a significant amount of innovation occurs in these other ways -- and that amount is growing rapidly.
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    What If The Very Theory That Underlies Why We Need Patents Is Wrong? from the collaborative-innovation-at-work dept
Weiye Loh

Land Destroyer: Alternative Economics - 0 views

  • Peer to peer file sharing (P2P) has made media distribution free and has become the bane of media monopolies. P2P file sharing means digital files can be copied and distributed at no cost. CD's, DVD's, and other older forms of holding media are no longer necessary, nor is the cost involved in making them or distributing them along a traditional logistical supply chain. Disc burners, however, allow users the ability to create their own physical copies at a fraction of the cost of buying the media from the stores. Supply and demand is turned on its head as the more popular a certain file becomes via demand, the more of it that is available for sharing, and the easier it is to obtain. Supply and demand increase in tandem towards a lower "price" of obtaining the said file.Consumers demand more as price decreases. Producersnaturally want to produce more of something as priceincreases. Somewhere in between consumers and producers meet at the market price or "marketequilibrium."P2P technology eliminates material scarcity, thus the more afile is in demand, the more people end up downloading it, andthe easier it is for others to find it and download it. Considerthe implications this would have if technology made physicalobjects as easy to "share" as information is now.
  • In the end, it is not government regulations, legal contrivances, or licenses that govern information, but rather the free market mechanism commonly referred to as Adam Smith's self regulating "Invisible Hand of the Market." In other words, people selfishly seeking accurate information for their own benefit encourage producers to provide the best possible information to meet their demand. While this is not possible in a monopoly, particularly the corporate media monopoly of the "left/right paradigm" of false choice, it is inevitable in the field of real competition that now exists online due to information technology.
  • Compounding the establishment's troubles are cheaper cameras and cheaper, more capable software for 3D graphics, editing, mixing, and other post production tasks, allowing for the creation of an alternative publishing, audio and video industry. "Underground" counter-corporate music and film has been around for a long time but through the combination of technology and the zealous corporate lawyers disenfranchising a whole new generation that now seeks an alternative, it is truly coming of age.
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  • With a growing community of people determined to become collaborative producers rather than fit into the producer/consumer paradigm, and 3D files for physical objects already being shared like movies and music, the implications are profound. Products, and the manufacturing technology used to make them will continue to drop in price, become easier to make for individuals rather than large corporations, just as media is now shifting into the hands of the common people. And like the shift of information, industry will move from the elite and their agenda of preserving their power, to the end of empowering the people.
  • In a future alternative economy where everyone is a collaborative designer, producer, and manufacturer instead of passive consumers and when problems like "global climate change," "overpopulation," and "fuel crises" cross our path, we will counter them with technical solutions, not political indulgences like carbon taxes, and not draconian decrees like "one-child policies."
  • We will become the literal architects of our own future in this "personal manufacturing" revolution. While these technologies may still appear primitive, or somewhat "useless" or "impractical" we must remember where our personal computers stood on the eve of the dawning of the information age and how quickly they changed our lives. And while many of us may be unaware of this unfolding revolution, you can bet the globalists, power brokers, and all those that stand to lose from it not only see it but are already actively fighting against it.Understandably it takes some technical know-how to jump into the personal manufacturing revolution. In part 2 of "Alternative Economics" we will explore real world "low-tech" solutions to becoming self-sufficient, local, and rediscover the empowerment granted by doing so.
Weiye Loh

The Black Swan of Cairo | Foreign Affairs - 0 views

  • It is both misguided and dangerous to push unobserved risks further into the statistical tails of the probability distribution of outcomes and allow these high-impact, low-probability "tail risks" to disappear from policymakers' fields of observation.
  • Such environments eventually experience massive blowups, catching everyone off-guard and undoing years of stability or, in some cases, ending up far worse than they were in their initial volatile state. Indeed, the longer it takes for the blowup to occur, the worse the resulting harm in both economic and political systems.
  • Seeking to restrict variability seems to be good policy (who does not prefer stability to chaos?), so it is with very good intentions that policymakers unwittingly increase the risk of major blowups. And it is the same misperception of the properties of natural systems that led to both the economic crisis of 2007-8 and the current turmoil in the Arab world. The policy implications are identical: to make systems robust, all risks must be visible and out in the open -- fluctuat nec mergitur (it fluctuates but does not sink) goes the Latin saying.
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  • Just as a robust economic system is one that encourages early failures (the concepts of "fail small" and "fail fast"), the U.S. government should stop supporting dictatorial regimes for the sake of pseudostability and instead allow political noise to rise to the surface. Making an economy robust in the face of business swings requires allowing risk to be visible; the same is true in politics.
  • Both the recent financial crisis and the current political crisis in the Middle East are grounded in the rise of complexity, interdependence, and unpredictability. Policymakers in the United Kingdom and the United States have long promoted policies aimed at eliminating fluctuation -- no more booms and busts in the economy, no more "Iranian surprises" in foreign policy. These policies have almost always produced undesirable outcomes. For example, the U.S. banking system became very fragile following a succession of progressively larger bailouts and government interventions, particularly after the 1983 rescue of major banks (ironically, by the same Reagan administration that trumpeted free markets). In the United States, promoting these bad policies has been a bipartisan effort throughout. Republicans have been good at fragilizing large corporations through bailouts, and Democrats have been good at fragilizing the government. At the same time, the financial system as a whole exhibited little volatility; it kept getting weaker while providing policymakers with the illusion of stability, illustrated most notably when Ben Bernanke, who was then a member of the Board of Governors of the U.S. Federal Reserve, declared the era of "the great moderation" in 2004.
  • Washington stabilized the market with bailouts and by allowing certain companies to grow "too big to fail." Because policymakers believed it was better to do something than to do nothing, they felt obligated to heal the economy rather than wait and see if it healed on its own.
  • The foreign policy equivalent is to support the incumbent no matter what. And just as banks took wild risks thanks to Greenspan's implicit insurance policy, client governments such as Hosni Mubarak's in Egypt for years engaged in overt plunder thanks to similarly reliable U.S. support.
  • Those who seek to prevent volatility on the grounds that any and all bumps in the road must be avoided paradoxically increase the probability that a tail risk will cause a major explosion.
  • In the realm of economics, price controls are designed to constrain volatility on the grounds that stable prices are a good thing. But although these controls might work in some rare situations, the long-term effect of any such system is an eventual and extremely costly blowup whose cleanup costs can far exceed the benefits accrued. The risks of a dictatorship, no matter how seemingly stable, are no different, in the long run, from those of an artificially controlled price.
  • Such attempts to institutionally engineer the world come in two types: those that conform to the world as it is and those that attempt to reform the world. The nature of humans, quite reasonably, is to intervene in an effort to alter their world and the outcomes it produces. But government interventions are laden with unintended -- and unforeseen -- consequences, particularly in complex systems, so humans must work with nature by tolerating systems that absorb human imperfections rather than seek to change them.
  • What is needed is a system that can prevent the harm done to citizens by the dishonesty of business elites; the limited competence of forecasters, economists, and statisticians; and the imperfections of regulation, not one that aims to eliminate these flaws. Humans must try to resist the illusion of control: just as foreign policy should be intelligence-proof (it should minimize its reliance on the competence of information-gathering organizations and the predictions of "experts" in what are inherently unpredictable domains), the economy should be regulator-proof, given that some regulations simply make the system itself more fragile. Due to the complexity of markets, intricate regulations simply serve to generate fees for lawyers and profits for sophisticated derivatives traders who can build complicated financial products that skirt those regulations.
  • The life of a turkey before Thanksgiving is illustrative: the turkey is fed for 1,000 days and every day seems to confirm that the farmer cares for it -- until the last day, when confidence is maximal. The "turkey problem" occurs when a naive analysis of stability is derived from the absence of past variations. Likewise, confidence in stability was maximal at the onset of the financial crisis in 2007.
  • The turkey problem for humans is the result of mistaking one environment for another. Humans simultaneously inhabit two systems: the linear and the complex. The linear domain is characterized by its predictability and the low degree of interaction among its components, which allows the use of mathematical methods that make forecasts reliable. In complex systems, there is an absence of visible causal links between the elements, masking a high degree of interdependence and extremely low predictability. Nonlinear elements are also present, such as those commonly known, and generally misunderstood, as "tipping points." Imagine someone who keeps adding sand to a sand pile without any visible consequence, until suddenly the entire pile crumbles. It would be foolish to blame the collapse on the last grain of sand rather than the structure of the pile, but that is what people do consistently, and that is the policy error.
  • Engineering, architecture, astronomy, most of physics, and much of common science are linear domains. The complex domain is the realm of the social world, epidemics, and economics. Crucially, the linear domain delivers mild variations without large shocks, whereas the complex domain delivers massive jumps and gaps. Complex systems are misunderstood, mostly because humans' sophistication, obtained over the history of human knowledge in the linear domain, does not transfer properly to the complex domain. Humans can predict a solar eclipse and the trajectory of a space vessel, but not the stock market or Egyptian political events. All man-made complex systems have commonalities and even universalities. Sadly, deceptive calm (followed by Black Swan surprises) seems to be one of those properties.
  • The system is responsible, not the components. But after the financial crisis of 2007-8, many people thought that predicting the subprime meltdown would have helped. It would not have, since it was a symptom of the crisis, not its underlying cause. Likewise, Obama's blaming "bad intelligence" for his administration's failure to predict the crisis in Egypt is symptomatic of both the misunderstanding of complex systems and the bad policies involved.
  • Obama's mistake illustrates the illusion of local causal chains -- that is, confusing catalysts for causes and assuming that one can know which catalyst will produce which effect. The final episode of the upheaval in Egypt was unpredictable for all observers, especially those involved. As such, blaming the CIA is as foolish as funding it to forecast such events. Governments are wasting billions of dollars on attempting to predict events that are produced by interdependent systems and are therefore not statistically understandable at the individual level.
  • Political and economic "tail events" are unpredictable, and their probabilities are not scientifically measurable. No matter how many dollars are spent on research, predicting revolutions is not the same as counting cards; humans will never be able to turn politics into the tractable randomness of blackjack.
  • Most explanations being offered for the current turmoil in the Middle East follow the "catalysts as causes" confusion. The riots in Tunisia and Egypt were initially attributed to rising commodity prices, not to stifling and unpopular dictatorships. But Bahrain and Libya are countries with high gdps that can afford to import grain and other commodities. Again, the focus is wrong even if the logic is comforting. It is the system and its fragility, not events, that must be studied -- what physicists call "percolation theory," in which the properties of the terrain are studied rather than those of a single element of the terrain.
  • When dealing with a system that is inherently unpredictable, what should be done? Differentiating between two types of countries is useful. In the first, changes in government do not lead to meaningful differences in political outcomes (since political tensions are out in the open). In the second type, changes in government lead to both drastic and deeply unpredictable changes.
  • Humans fear randomness -- a healthy ancestral trait inherited from a different environment. Whereas in the past, which was a more linear world, this trait enhanced fitness and increased chances of survival, it can have the reverse effect in today's complex world, making volatility take the shape of nasty Black Swans hiding behind deceptive periods of "great moderation." This is not to say that any and all volatility should be embraced. Insurance should not be banned, for example.
  • But alongside the "catalysts as causes" confusion sit two mental biases: the illusion of control and the action bias (the illusion that doing something is always better than doing nothing). This leads to the desire to impose man-made solutions
  • Variation is information. When there is no variation, there is no information. This explains the CIA's failure to predict the Egyptian revolution and, a generation before, the Iranian Revolution -- in both cases, the revolutionaries themselves did not have a clear idea of their relative strength with respect to the regime they were hoping to topple. So rather than subsidize and praise as a "force for stability" every tin-pot potentate on the planet, the U.S. government should encourage countries to let information flow upward through the transparency that comes with political agitation. It should not fear fluctuations per se, since allowing them to be in the open, as Italy and Lebanon both show in different ways, creates the stability of small jumps.
  • As Seneca wrote in De clementia, "Repeated punishment, while it crushes the hatred of a few, stirs the hatred of all . . . just as trees that have been trimmed throw out again countless branches." The imposition of peace through repeated punishment lies at the heart of many seemingly intractable conflicts, including the Israeli-Palestinian stalemate. Furthermore, dealing with seemingly reliable high-level officials rather than the people themselves prevents any peace treaty signed from being robust. The Romans were wise enough to know that only a free man under Roman law could be trusted to engage in a contract; by extension, only a free people can be trusted to abide by a treaty. Treaties that are negotiated with the consent of a broad swath of the populations on both sides of a conflict tend to survive. Just as no central bank is powerful enough to dictate stability, no superpower can be powerful enough to guarantee solid peace alone.
  • As Jean-Jacques Rousseau put it, "A little bit of agitation gives motivation to the soul, and what really makes the species prosper is not peace so much as freedom." With freedom comes some unpredictable fluctuation. This is one of life's packages: there is no freedom without noise -- and no stability without volatility.∂
Weiye Loh

Income inequality: Rich and poor, growing apart | The Economist - 0 views

  • THINK income inequality growth is primarily an American phenomenon?  Think again:American society is more unequal than those in most other OECD countries, and growth in inequality there has been relatively large. But with very few exceptions, the rich have done better over the past 30 years, even in highly egalitarian places like Scandinavia.
  • Over the past decades, OECD countries have undergone significant structural changes resulting from their closer integration into a global economy and rapid technological progress. These changes have brought higher rewards for high-skilled workers and thus affected the way earnings from work are distributed. The skills gap in earnings reflects several factors. First, a rapid rise in trade and financial markets integration has generated a relative shift in labour demand in favour of high-skilled workers at the expense of low-skilled labour. Second, technical progress has shifted production technologies in both industries and services in favour of skilled labour...Finally, during the past two decades most OECD countries carried out regulatory reforms to strengthen competition in the markets for goods and services and associated reforms that aimed at making labour markets more adaptable. For instance, anti-competitive product-market regulations were reduced significantly in all countries. Employment protection legislation for workers with temporary contracts also became more lenient in many countries. Minimum wages, relative to average wages, have also declined in a number of countries since the 1980s. Wage-setting mechanisms have also changed; the share of union members among workers has fallen across most countries, although the coverage of collective bargaining has generally remained rather stable over time. In a number of countries, unemployment benefit replacement rates fell, and in an attempt to promote employment among low-skilled workers, taxes on labour for low-income workers were also reduced.
  • It's tempting to look at this list of regulatory changes and argue that it was these rule changes which facilitated growth in inequality. That may be true to some extent, but the unverisality of the reform experience makes me think it's at least as likely that underlying trends (like globalisation and technological change) made the prevailing rules unsustainable.
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  • it's critical to address this issue if popular support for liberal economic activity is to be maintained.
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    while national factors can influence the degree of inequality growth and can mitigate (or not) the negative impacts of that growth, there seem to be broader, global forces pushing inequality up across countries.
Weiye Loh

What is the role of the state? | Martin Wolf's Exchange | FT.com - 0 views

  • This question has concerned western thinkers at least since Plato (5th-4th century BCE). It has also concerned thinkers in other cultural traditions: Confucius (6th-5th century BCE); China’s legalist tradition; and India’s Kautilya (4th-3rd century BCE). The perspective here is that of the contemporary democratic west.
  • The core purpose of the state is protection. This view would be shared by everybody, except anarchists, who believe that the protective role of the state is unnecessary or, more precisely, that people can rely on purely voluntary arrangements.
  • Contemporary Somalia shows the horrors that can befall a stateless society. Yet horrors can also befall a society with an over-mighty state. It is evident, because it is the story of post-tribal humanity that the powers of the state can be abused for the benefit of those who control it.
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  • In his final book, Power and Prosperity, the late Mancur Olson argued that the state was a “stationary bandit”. A stationary bandit is better than a “roving bandit”, because the latter has no interest in developing the economy, while the former does. But it may not be much better, because those who control the state will seek to extract the surplus over subsistence generated by those under their control.
  • In the contemporary west, there are three protections against undue exploitation by the stationary bandit: exit, voice (on the first two of these, see this on Albert Hirschman) and restraint. By “exit”, I mean the possibility of escaping from the control of a given jurisdiction, by emigration, capital flight or some form of market exchange. By “voice”, I mean a degree of control over, the state, most obviously by voting. By “restraint”, I mean independent courts, division of powers, federalism and entrenched rights.
  • defining what a democratic state, viewed precisely as such a constrained protective arrangement, is entitled to do.
  • There exists a strand in classical liberal or, in contemporary US parlance, libertarian thought which believes the answer is to define the role of the state so narrowly and the rights of individuals so broadly that many political choices (the income tax or universal health care, for example) would be ruled out a priori. In other words, it seeks to abolish much of politics through constitutional restraints. I view this as a hopeless strategy, both intellectually and politically. It is hopeless intellectually, because the values people hold are many and divergent and some of these values do not merely allow, but demand, government protection of weak, vulnerable or unfortunate people. Moreover, such values are not “wrong”. The reality is that people hold many, often incompatible, core values. Libertarians argue that the only relevant wrong is coercion by the state. Others disagree and are entitled to do so. It is hopeless politically, because democracy necessitates debate among widely divergent opinions. Trying to rule out a vast range of values from the political sphere by constitutional means will fail. Under enough pressure, the constitution itself will be changed, via amendment or reinterpretation.
  • So what ought the protective role of the state to include? Again, in such a discussion, classical liberals would argue for the “night-watchman” role. The government’s responsibilities are limited to protecting individuals from coercion, fraud and theft and to defending the country from foreign aggression. Yet once one has accepted the legitimacy of using coercion (taxation) to provide the goods listed above, there is no reason in principle why one should not accept it for the provision of other goods that cannot be provided as well, or at all, by non-political means.
  • Those other measures would include addressing a range of externalities (e.g. pollution), providing information and supplying insurance against otherwise uninsurable risks, such as unemployment, spousal abandonment and so forth. The subsidisation or public provision of childcare and education is a way to promote equality of opportunity. The subsidisation or public provision of health insurance is a way to preserve life, unquestionably one of the purposes of the state. Safety standards are a way to protect people against the carelessness or malevolence of others or (more controversially) themselves. All these, then, are legitimate protective measures. The more complex the society and economy, the greater the range of the protections that will be sought.
  • What, then, are the objections to such actions? The answers might be: the proposed measures are ineffective, compared with what would happen in the absence of state intervention; the measures are unaffordable and might lead to state bankruptcy; the measures encourage irresponsible behaviour; and, at the limit, the measures restrict individual autonomy to an unacceptable degree. These are all, we should note, questions of consequences.
  • The vote is more evenly distributed than wealth and income. Thus, one would expect the tenor of democratic policymaking to be redistributive and so, indeed, it is. Those with wealth and income to protect will then make political power expensive to acquire and encourage potential supporters to focus on common enemies (inside and outside the country) and on cultural values. The more unequal are incomes and wealth and the more determined are the “haves” to avoid being compelled to support the “have-nots”, the more politics will take on such characteristics.
  • In the 1970s, the view that democracy would collapse under the weight of its excessive promises seemed to me disturbingly true. I am no longer convinced of this: as Adam Smith said, “There is a great deal of ruin in a nation”. Moreover, the capacity for learning by democracies is greater than I had realised. The conservative movements of the 1980s were part of that learning. But they went too far in their confidence in market arrangements and their indifference to the social and political consequences of inequality. I would support state pensions, state-funded health insurance and state regulation of environmental and other externalities. I am happy to debate details. The ancient Athenians called someone who had a purely private life “idiotes”. This is, of course, the origin of our word “idiot”. Individual liberty does indeed matter. But it is not the only thing that matters. The market is a remarkable social institution. But it is far from perfect. Democratic politics can be destructive. But it is much better than the alternatives. Each of us has an obligation, as a citizen, to make politics work as well as he (or she) can and to embrace the debate over a wide range of difficult choices that this entails.
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    What is the role of the state?
Weiye Loh

Android software piracy rampant despite Google's efforts to curb - Computerworld - 0 views

  • lot of Android applications are being pirated. The openness of the platform has made it easy for people to steal applications without paying for them.
  • growing popularity of the OS with enterprise users and developers is creating greater urgency, as pirated code robs developers of revenue and the incentive to remain committed Android. (See Android Set to Rule Over Apple and RIM Operating Systems.)
  • Network World's Android Angle blogger, Mark Murphy, bluntly noted a year ago that “Right now, it is very straightforward — if you publish on Android Market, your application will be made available for free download outside of the Market.” He added, “This is part and parcel of having an open environment like Android.” The then-current Android Market copy protection mechanisms “have been demonstrated to be ineffective.”
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  • What’s especially galling to professional developers is watching sales plunge as piracy rates soar. “The current issue we face with Android is rampant piracy, and we’re working to provide hacking counter measures, a difficult task,” says Jean Gareau, founder of VidaOne, an Austin, Texas, software company that specializes in health and fitness applications for a variety of operating systems.
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    Android software piracy rampant despite Google's efforts to curb
Weiye Loh

Skepticblog » Investing in Basic Science - 0 views

  • A recent editorial in the New York Times by Nicholas Wade raises some interesting points about the nature of basic science research – primarily that its’ risky.
  • As I have pointed out about the medical literature, researcher John Ioaniddis has explained why most published studies turn out in retrospect to be wrong. The same is true of most basic science research – and the underlying reason is the same. The world is complex, and most of our guesses about how it might work turn out to be either flat-out wrong, incomplete, or superficial. And so most of our probing and prodding of the natural world, looking for the path to the actual answer, turn out to miss the target.
  • research costs considerable resources of time, space, money, opportunity, and people-hours. There may also be some risk involved (such as to subjects in the clinical trial). Further, negative studies are actually valuable (more so than terrible pictures). They still teach us something about the world – they teach us what is not true. At the very least this narrows the field of possibilities. But the analogy holds in so far as the goal of scientific research is to improve our understanding of the world and to provide practical applications that make our lives better. Wade writes mostly about how we fund research, and this relates to our objectives. Most of the corporate research money is interested in the latter – practical (and profitable) applications. If this is your goal, than basic science research is a bad bet. Most investments will be losers, and for most companies this will not be offset by the big payoffs of the rare winners. So many companies will allow others to do the basic science (government, universities, start up companies) then raid the winners by using their resources to buy them out, and then bring them the final steps to a marketable application. There is nothing wrong or unethical about this. It’s a good business model.
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  • What, then, is the role of public (government) funding of research? Primarily, Wade argues (and I agree), to provide infrastructure for expensive research programs, such as building large colliders.
  • the more the government invests in basic science and infrastructure, the more winners will emerge that private industry can then capitalize on. This is a good way to build a competitive dynamic economy.
  • But there is a pitfall – prematurely picking winners and losers. Wade give the example of California investing specifically into developing stem cell treatments. He argues that stem cells, while promising, do not hold a guarantee of eventual success, and perhaps there are other technologies that will work and are being neglected. The history of science and technology has clearly demonstrated that it is wickedly difficult to predict the future (and all those who try are destined to be mocked by future generations with the benefit of perfect hindsight). Prematurely committing to one technology therefore contains a high risk of wasting a great deal of limited resources, and missing other perhaps more fruitful opportunities.
  • The underlying concept is that science research is a long-term game. Many avenues of research will not pan out, and those that do will take time to inspire specific applications. The media, however, likes catchy headlines. That means when they are reporting on basic science research journalists ask themselves – why should people care? What is the application of this that the average person can relate to? This seems reasonable from a journalistic point of view, but with basic science reporting it leads to wild speculation about a distant possible future application. The public is then left with the impression that we are on the verge of curing the common cold or cancer, or developing invisibility cloaks or flying cars, or replacing organs and having household robot servants. When a few years go by and we don’t have our personal android butlers, the public then thinks that the basic science was a bust, when in fact there was never a reasonable expectation that it would lead to a specific application anytime soon. But it still may be on track for interesting applications in a decade or two.
  • this also means that the government, generally, should not be in the game of picking winners an losers – putting their thumb on the scale, as it were. Rather, they will get the most bang for the research buck if they simply invest in science infrastructure, and also fund scientists in broad areas.
  • The same is true of technology – don’t pick winners and losers. The much-hyped “hydrogen economy” comes to mind. Let industry and the free market sort out what will work. If you have to invest in infrastructure before a technology is mature, then at least hedge your bets and keep funding flexible. Fund “alternative fuel” as a general category, and reassess on a regular basis how funds should be allocated. But don’t get too specific.
  • Funding research but leaving the details to scientists may be optimal
  • The scientific community can do their part by getting better at communicating with the media and the public. Try to avoid the temptation to overhype your own research, just because it is the most interesting thing in the world to you personally and you feel hype will help your funding. Don’t make it easy for the media to sensationalize your research – you should be the ones trying to hold back the reigns. Perhaps this is too much to hope for – market forces conspire too much to promote sensationalism.
Weiye Loh

Roger Pielke Jr.'s Blog: Innovation in Drug Development: An Inverse Moore's Law? - 0 views

  • Today's FT has this interesting graph and an accompanying story, showing a sort of inverse Moore's Law of drug development.  Over almost 60 years the number of new drugs developed per unit of investment has declined in a fairly constant manner, and some drug companies are now slashing their R&D budgets.
  • why this trend has occurred.  The FT points to a combination of low-hanging fruit that has been plucked and increasing costs of drug development. To some observers, that reflects the end of the mid to late 20th century golden era for drug discovery, when first-generation medicines such as antibiotics and beta-blockers to treat high blood pressure transformed healthcare. At the same time, regulatory demands to prove safety and efficacy have grown firmer. The result is larger and more costly clinical trials, and high failure rates for experimental drugs.
  • Others point to flawed innovation policies in industry and governments: “The markets treat drug companies as though research and development spending destroys value,” says Jack Scannell, an analyst at Bernstein Research. “People have stopped distinguishing the good from the bad. All those which performed well returned cash to shareholders. Unless the industry can articulate what the problem is, I don’t expect that to change.”
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  • Mr [Andrew] Baum [of Morgan Stanley] argues that the solution for drug companies is to share the risks of research with others. That means reducing in-house investment in research, and instead partnering and licensing experimental medicines from smaller companies after some of the early failures have been eliminated.
  • Chas Bountra of Oxford university calls for a more radical partnership combining industry and academic research. “What we are trying to do is just too difficult,” he says. “No one organisation can do it, so we have to pool resources and expertise.” He suggests removing intellectual property rights until a drug is in mid-stage testing in humans, which would make academics more willing to co-operate because they could publish their results freely. The sharing of data would enable companies to avoid duplicating work.
  • The challenge is for academia and biotech companies to fill the research gap. Mr Ratcliffe argues that after a lull in 2009 and 2010, private capital is returning to the sector – as demonstrated by a particular buzz at JPMorgan’s new year biotech conference in California.
  • Patrick Vallance, senior vice-president for discovery at GSK, is cautious about deferring patents until so late, arguing that drug companies need to be able to protect their intellectual property in order to fund expensive late-stage development. But he too is experimenting with ways to co-operate more closely with academics over longer periods. He is also championing the “externalisation” of the company’s pipeline, with biotech and university partners accounting for half the total. GSK has earmarked £50m to support fledgling British companies, many “wrapped around” the group’s sites. One such example is Convergence, a spin-out from a GSK lab researching pain relief.
  • Big pharmaceutical companies are scrambling to find ways to overcome the loss of tens of billions of dollars in revenue as patents on top-selling drugs run out. Many sound similar notes about encouraging entrepreneurialism in their ranks, making smart deals and capitalizing on emerging-market growth, But their actual plans are often quite different—and each carries significant risks. Novartis AG, for instance, is so convinced that diversification is the best course that the company has a considerable business selling low-priced generics. Meantime, Bristol-Myers Squibb Co. has decided to concentrate on innovative medicines, shedding so many nonpharmaceutical units that it' has become midsize. GlaxoSmithKline PLC is still investing in research, but like Pfizer it has narrowed the range of disease areas in which it's seeking new treatments. Underlying the divergence is a deep-seated philosophical dispute over the merits of the heavy investment that companies must make to discover new drugs. By most estimates, bringing a new molecule to market costs drug makers more than $1 billion. Industry officials have been engaged in a vigorous debate over whether the investment is worth it, or whether they should leave it to others whose work they can acquire or license after a demonstration of strong potential.
  • To what extent can approached to innovation influence the trend line in the graph above?  I don't think that anyone really knows the answer.  The different approaches being taken by Merck and Pfizer, for instance, represent a real world policy experiment: The contrast between Merck and Pfizer reflects the very different personal approaches of their CEOs. An accountant by training, Mr. Read has held various business positions during a three-decade career at Pfizer. The 57-year-old cited torcetrapib, a cholesterol medicine that the company spent more than $800 million developing but then pulled due to safety concerns, as an example of the kind of wasteful spending Pfizer would avoid. "We're going to have metrics," Mr. Read said. He wants Pfizer to stop "always investing on hope rather than strong signals and the quality of the science, the quality of the medicine." Mr. Frazier, 56, a Harvard-educated lawyer who joined Merck in 1994 from private practice, said the company was sticking by its own troubled heart drug, vorapaxar. Mr. Frazier said he wanted to see all of the data from the trials before rushing to judgment. "We believe in the innovation approach," he said.
Weiye Loh

Why Do Intellectuals Oppose Capitalism? - 0 views

  • Not all intellectuals are on the "left."
  • But in their case, the curve is shifted and skewed to the political left.
  • By intellectuals, I do not mean all people of intelligence or of a certain level of education, but those who, in their vocation, deal with ideas as expressed in words, shaping the word flow others receive. These wordsmiths include poets, novelists, literary critics, newspaper and magazine journalists, and many professors. It does not include those who primarily produce and transmit quantitatively or mathematically formulated information (the numbersmiths) or those working in visual media, painters, sculptors, cameramen. Unlike the wordsmiths, people in these occupations do not disproportionately oppose capitalism. The wordsmiths are concentrated in certain occupational sites: academia, the media, government bureaucracy.
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  • Wordsmith intellectuals fare well in capitalist society; there they have great freedom to formulate, encounter, and propagate new ideas, to read and discuss them. Their occupational skills are in demand, their income much above average. Why then do they disproportionately oppose capitalism? Indeed, some data suggest that the more prosperous and successful the intellectual, the more likely he is to oppose capitalism. This opposition to capitalism is mainly "from the left" but not solely so. Yeats, Eliot, and Pound opposed market society from the right.
  • can distinguish two types of explanation for the relatively high proportion of intellectuals in opposition to capitalism. One type finds a factor unique to the anti-capitalist intellectuals. The second type of explanation identifies a factor applying to all intellectuals, a force propelling them toward anti-capitalist views. Whether it pushes any particular intellectual over into anti-capitalism will depend upon the other forces acting upon him. In the aggregate, though, since it makes anti-capitalism more likely for each intellectual, such a factor will produce a larger proportion of anti-capitalist intellectuals. Our explanation will be of this second type. We will identify a factor which tilts intellectuals toward anti-capitalist attitudes but does not guarantee it in any particular case.
  • Intellectuals now expect to be the most highly valued people in a society, those with the most prestige and power, those with the greatest rewards. Intellectuals feel entitled to this. But, by and large, a capitalist society does not honor its intellectuals. Ludwig von Mises explains the special resentment of intellectuals, in contrast to workers, by saying they mix socially with successful capitalists and so have them as a salient comparison group and are humiliated by their lesser status.
  • Why then do contemporary intellectuals feel entitled to the highest rewards their society has to offer and resentful when they do not receive this? Intellectuals feel they are the most valuable people, the ones with the highest merit, and that society should reward people in accordance with their value and merit. But a capitalist society does not satisfy the principle of distribution "to each according to his merit or value." Apart from the gifts, inheritances, and gambling winnings that occur in a free society, the market distributes to those who satisfy the perceived market-expressed demands of others, and how much it so distributes depends on how much is demanded and how great the alternative supply is. Unsuccessful businessmen and workers do not have the same animus against the capitalist system as do the wordsmith intellectuals. Only the sense of unrecognized superiority, of entitlement betrayed, produces that animus.
  • What factor produced feelings of superior value on the part of intellectuals? I want to focus on one institution in particular: schools. As book knowledge became increasingly important, schooling--the education together in classes of young people in reading and book knowledge--spread. Schools became the major institution outside of the family to shape the attitudes of young people, and almost all those who later became intellectuals went through schools. There they were successful. They were judged against others and deemed superior. They were praised and rewarded, the teacher's favorites. How could they fail to see themselves as superior? Daily, they experienced differences in facility with ideas, in quick-wittedness. The schools told them, and showed them, they were better.
  • We have refined the hypothesis somewhat. It is not simply formal schools but formal schooling in a specified social context that produces anti-capitalist animus in (wordsmith) intellectuals. No doubt, the hypothesis requires further refining. But enough. It is time to turn the hypothesis over to the social scientists, to take it from armchair speculations in the study and give it to those who will immerse themselves in more particular facts and data. We can point, however, to some areas where our hypothesis might yield testable consequences and predictions. First, one might predict that the more meritocratic a country's school system, the more likely its intellectuals are to be on the left. (Consider France.) Second, those intellectuals who were "late bloomers" in school would not have developed the same sense of entitlement to the very highest rewards; therefore, a lower percentage of the late-bloomer intellectuals will be anti-capitalist than of the early bloomers. Third, we limited our hypothesis to those societies (unlike Indian caste society) where the successful student plausibly could expect further comparable success in the wider society. In Western society, women have not heretofore plausibly held such expectations, so we would not expect the female students who constituted part of the academic upper class yet later underwent downward mobility to show the same anti-capitalist animus as male intellectuals. We might predict, then, that the more a society is known to move toward equality in occupational opportunity between women and men, the more its female intellectuals will exhibit the same disproportionate anti-capitalism its male intellectuals show.
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