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In his new book, "The Double Helix and the Law of Evidence" (Harvard University Press), Kaye focuses on the intersection of science and law, and emphasizes that DNA evidence is merely information. "There's a popular perception that with DNA, you get results," Kaye said. "You're either guilty or innocent, and the DNA speaks the truth. That goes too far. DNA is a tool. Perhaps in many cases it's open and shut, in other cases it's not. There's ambiguity."

One of the book's key themes is that using science in court is hard to do right. "It requires lawyers and judges to understand a lot about the science," Kaye noted. "They don't have to be scientists or technicians, but they do have to know enough to understand what's going on and whether the statements that experts are making are well-founded. The lawyers need to be able to translate that information into a form that a judge or a jury can understand." Kaye also believes that lawyers need to better understand statistics and probability, an area that has traditionally been neglected in law school curricula. His book attempts to close this gap in understanding with several sections on genetic science and probability. The book also contends that scientists, too, have contributed to the false sense of certainty, when they are so often led by either side of one particular case to take an extreme position. Scientists need to approach their role as experts less as partisans and more as defenders of truth. Aiming to be a definitive history of the use of DNA evidence, "The Double Helix and the Law of Evidence" chronicles precedent-setting criminal trials, battles among factions of the scientific community and a multitude of issues with the use of probability and statistics related to DNA. From the Simpson trial to the search for the last Russian Tsar, Kaye tells the story of how DNA science has impacted society. He delves into the history of the application of DNA science and probability within the legal system and depicts its advances and setbacks.

"People tend to conform their factual beliefs to ones that are consistent with their cultural outlook, their world view," Braman says. The Cultural Cognition Project has conducted several experiments to back that up. Participants in these experiments are asked to describe their cultural beliefs. Some embrace new technology, authority and free enterprise. They are labeled the "individualistic" group. Others are suspicious of authority or of commerce and industry. Braman calls them "communitarians." In one experiment, Braman queried these subjects about something unfamiliar to them: nanotechnology — new research into tiny, molecule-sized objects that could lead to novel products. "These two groups start to polarize as soon as you start to describe some of the potential benefits and harms," Braman says. The individualists tended to like nanotechnology. The communitarians generally viewed it as dangerous. Both groups made their decisions based on the same information. "It doesn't matter whether you show them negative or positive information, they reject the information that is contrary to what they would like to believe, and they glom onto the positive information," Braman says.

"Basically the reason that people react in a close-minded way to information is that the implications of it threaten their values," says Dan Kahan, a law professor at Yale University and a member of The Cultural Cognition Project. Kahan says people test new information against their preexisting view of how the world should work. "If the implication, the outcome, can affirm your values, you think about it in a much more open-minded way," he says. And if the information doesn't, you tend to reject it. In another experiment, people read a United Nations study about the dangers of global warming. Then the researchers told the participants that the solution to global warming is to regulate industrial pollution. Many in the individualistic group then rejected the climate science. But when more nuclear power was offered as the solution, says Braman, "they said, you know, it turns out global warming is a serious problem."And for the communitarians, climate danger seemed less serious if the only solution was more nuclear power.

Statistical validation of results, as Shaffer described it, simply involves testing the null hypothesis: that the pattern you detect in your data occurs at random. If you can reject the null hypothesis—and science and medicine have settled on rejecting it when there's only a five percent or less chance that it occurred at random—then you accept that your actual finding is significant. The problem now is that we're rapidly expanding our ability to do tests. Various speakers pointed to data sources as diverse as gene expression chips and the Sloan Digital Sky Survey, which provide tens of thousands of individual data points to analyze. At the same time, the growth of computing power has meant that we can ask many questions of these large data sets at once, and each one of these tests increases the prospects than an error will occur in a study; as Shaffer put it, "every decision increases your error prospects." She pointed out that dividing data into subgroups, which can often identify susceptible subpopulations, is also a decision, and increases the chances of a spurious error. Smaller populations are also more prone to random associations. In the end, Young noted, by the time you reach 61 tests, there's a 95 percent chance that you'll get a significant result at random. And, let's face it—researchers want to see a significant result, so there's a strong, unintentional bias towards trying different tests until something pops out. Young went on to describe a study, published in JAMA, that was a multiple testing train wreck: exposures to 275 chemicals were considered, 32 health outcomes were tracked, and 10 demographic variables were used as controls. That was about 8,800 different tests, and as many as 9 million ways of looking at the data once the demographics were considered.

1. The private sector will create enough jobs, if the government gets out of the way. Possibly, but when? Right now more than 2.7 percent of our entire population has been unemployed for more than 26 weeks -- an all time-record since the government began compiling that data in 1948. No one is predicting that the private sector is about to go on a hiring spree. In fact, many analysts think it'll take more than a decade for the labor market to fully recover. You can't tell the unemployed to wait ten years. Counting on a private sector market miracle is an exercise in faith-based economics. There simply is no evidence that the private sector can create on its own the colossal number of jobs we need. If we wanted to go down to a real unemployment rate of 5% ("full employment"), we'd have to create about 22.4 million jobs. (See Leo Hindery's excellent accounting.) We'd need over 100,000 new jobs every month just to keep up with population growth. It's not fair to the unemployed to pray for private sector jobs that might never come through. 2. We can't afford it. Funding public sector jobs will explode the deficit and the country will go broke: This argument always makes intuitive sense because most of us think of the federal budget as a giant version of our household budget - we've got to balance the books, right? I'd suggest we leave that analogy behind. Governments just don't work the same way as families do. We have to look at the hard realities of unemployment, taxes and deficits. For instance, every unemployed worker is someone who is not paying taxes. If we're not collecting taxes from the unemployed, then we've got to collect more taxes from everyone who is working. Either that, or we have to cut back on services. If we go with option one and raise taxes on middle and low income earners, they'll have less money to spend on goods and services. When demand goes down, businesses contract--meaning layoffs in the private sector. But if we go with option two and cut government services, we'll have to lay off public sector workers. Now we won't be collecting their taxes, and the downward cycle continues. Plus, we don't get the services. Or, we could spend the money to create the jobs and just let the deficit rise a bit more. The very thought makes politicians and the public weak in the knees. But in fact this would start a virtuous cycle that would eventually reduce the deficit: Our newly reemployed people start paying taxes again. And with their increased income, they start buying more goods and services. This new demand leads to more hiring in the private sector. These freshly hired private sector workers start paying taxes too. The federal budget swells with new revenue, and the deficit drops. But let's say you just can't stomach letting the deficit rise right now. You think the government is really out of money--or maybe you hate deficits in principle. There's an easy solution to your problem. Place a windfall profits tax on Wall Street bonuses. Impose a steep tax on people collecting $3 million or more. (Another way to do it is to tax the financial transactions involved in speculative investments by Wall Street and the super-rich.) After all, those fat bonuses are unearned: The entire financial sector is still being bankrolled by the taxpayers, who just doled out $10 trillion (not billion) in loans and guarantees. Besides, taxing the super-rich doesn't put a dent in demand for goods and services the way taxing other people does. The rich can only buy so much. The rest goes into investment, much of it speculative. So a tax on the super rich reduces demand for the very casino type investments that got us into this mess.

3. Private sector jobs are better that public sector jobs. Why is that? There is a widely shared perception that having a public job is like being on the dole, while having a private sector job is righteous. Maybe people sense that in the private sector you are competing to sell your goods and services in the rough and tumble of the marketplace--and so you must be producing items that buyers want and need. Government jobs are shielded from market forces. But think about some of our greatest public employment efforts. Was there anything wrong with the government workers at NASA who landed us on the moon? Or with the public sector workers in the Manhattan project charged with winning World War II? Are teachers at public universities somehow less worthy than those in private universities? Let's be honest: a good job is one that contributes to the well-being of society and that provides a fair wage and benefits. During an employment crisis, those jobs might best come directly from federal employment or indirectly through federal contracts and grants to state governments. This myth also includes the notion that the private sector is more efficient than the public sector. Sometimes it is, but mostly it isn't. Take health care, which accounts for nearly 17 percent of our entire economy. Medicare is a relative model of efficiency, with much lower administrative costs than private health insurers. The average private insurance company worker is far less productive and efficient than an equivalent federal employee working for Medicare. (See study by Himmelstein, Woolhandler and Wolfe) 4. Big government suffocates our freedom. The smaller the central government, the better -- period, the end. This is the hardest argument to refute because it is about ideology not facts. Simply put, many Americans believe that the federal government is bad by definition. Some don't like any government at all. Others think power should reside mostly with state governments. This idea goes all the way back to the anti-federalists led by Thomas Jefferson, who feared that yeomen farmers would be ruled (and feasted upon) by far-away economic elites who controlled the nation's money and wealth. In modern times this has turned into a fear of a totalitarian state with the power to tell us what to do and even deny us our most basic liberties. A government that creates millions of jobs could be seen as a government that's taking over the economy (like taking over GM). It just gets bigger and more intrusive. And more corrupt and pork-ridden. (There's no denying we've got some federal corruption, but again the private sector is hardly immune to the problem. In fact, it lobbies for the pork each and every day.) It's probably impossible to convince anyone who hates big government to change their minds. But we need to consider what state governments can and cannot do to create jobs. Basically, their hands are tied precisely because they are not permitted by our federal constitution to run up debt. So when tax revenues plunge (as they still are doing) states have to cut back services and/or increase taxes. In effect, the states act as anti-stimulus programs. They are laying off workers and will continue to do so until either the private sector or the federal government creates many more jobs. Unlike the feds, states are in no position to regulate Wall Street. They're not big enough, not strong enough and can easily be played off against each other. While many fear big government, I fear high unemployment even more. That's because the Petri dish for real totalitarianism is high unemployment -- not the relatively benign big government we've experienced in America. When people don't have jobs and see no prospect for finding them, they get desperate -- maybe desperate enough to follow leaders who whip up hatred and trample on people's rights in their quest for power. Violent oppression of minority groups often flows from high unemployment. So does war. No thanks. I'll take a government that puts people to work even if it has to hire 10 million more workers itself. We don't have to sacrifice freedom to put people to work. We just have to muster the will to hire them.

Solar-powered drip irrigation enhances food security in the Sudano–Sahel documents a field research project which found that: "solar-powered drip irrigation significantly augments both household income and nutritional intake, particularly during the dry season, and is cost effective compared to alternative technologies" Over the decades, irrigation has been shown to greatly increase agricultural productivity. Drip irrigation is spreading rapidly in Africa, with significant benefits. "Drip irrigation delivers water (and fertilizer) directly to the roots of plants, thereby improving soil moisture conditions; in some studies, this has resulted in yield gains of up to 100%, water savings of up to 40–80%, and associated fertilizer, pesticide, and labor savings over conventional irrigation systems" The solar-powered systems, however, look to offer the potential for even better results. From the study on impacts of PVDI systems it was reported: "The women’s agricultural group members utilizing the PVDI systems became strong net producers in vegetables with extra income earned from sales, significantly increasing their purchases of staples, pulses, and protein during the dry season, and oil during the rainy season. Finally, survey respondents were asked how frequently they were unable to meet their household food needs. Based on the frequency and most recent incident, households were assigned a food insecurity score ranging from zero (no problems during the previous year) to one (perpetually unable to meet food needs). This score changed significantly for project beneficiaries, as they were 17% less likely to feel chronically food-insecure. In short, the PVDI systems had a remarkable effect on both year-round and seasonal food access."

Trade's effect on military conflict is one of the most important issues in international relations. The last decade has seen research and debate into the role of trade intensify; Liberals argue that trade brings peace, neo-realists and neo-Marxists reason that trade brings conflict, and classical realists contend that trade has no impact. This debate is not just academic: some key U.S. policymakers (Senator McCain and former President Clinton for instance) believe that trade brings peace, a view that contributes to their support for free trade. Economists developed bilateral trade models in isolation from models of interstate conflict, which were the work of political scientists. These two types of models handle distance between nations differently. Bilateral trade takes its cue from Isaac Newton's formula for the gravitational attraction between two objects: the larger the objects' masses and the shorter the distance between them, the larger the attraction. So the larger the trade partners' economies and the closer they are to one another, the greater their trade. However, conflict models instead incorporate shared borders by land or close distance over water (contiguity) - stressing the role of border disputes in sparking interstate conflict. Distance is included in conflict equations based on the idea that an army gets weaker the farther it strays from its base, but what point in a nation to pick for the trade and conflict equation is unclear. Often theorists use the distance between capital cities, which is problematic: wars generally happen around borders where armies are often based, and capitals have historically changed without this altering the likelihood of war between the nation and its neighbours. The authors suggest that the trade data set plugged into trade and conflict equations is critical. This type of data often contains gaps - there are a number of reasons why data from a particular nation might be unavailable, inevitably leaving researchers to make assumptions. The majority of trade and conflict studies define conflict to include all types of militarised interstate disputes (MIDs). But Keshk, Reuveny, and Pollins question the results generated when different conflict definitions are chosen. For instance, a conflict such as a threat to use nuclear weapons would not cause fatalities, but may still have some impact on trade and vice versa. In fact, by altering the data treatment and assumptions in the equation, the authors generated a variety of results, which supported several different theoretical viewpoints. The authors suggest that future research should investigate questions of missing bilateral trade data, and attempt a more subtle use of the meaning of "military conflict". Researchers might also develop distance and contiguity measures at a more sophisticated level. "Any signal that trade brings peace remains weak and inconsistent, regardless of the way proximity is modelled in the conflict equation. The signal that conflict reduces trade, in contrast, is strong and consistent," say the authors. "Any study of the effect of trade on conflict that ignores the reverse fact is practically guaranteed to produce estimates that contain simultaneity bias." Studies of the relationship between international trade and military conflict can be traced back many centuries, particularly in the works of luminaries such as de Montesquieu, Immanuel Kant, John Hobson, Vladimir Lenin, Henry Morgenthau, Kenneth Waltz, Frederic List, and Albert Hirschman. This latest study emphasises that international politics are affecting trade between nation pairs, while it is far less obvious whether trade systematically affects politics. "To our colleagues from the liberal camp we would like to say that we still believe there are limited circumstances in which more trade may help lead countries to more peaceful resolutions of their differences, particularly if they are already at peace," the authors state. "However, it is past time for academics and policymakers to look beyond the naive claim that the cultivation of trade ties will always and everywhere produce a more peaceful world."