The Boston Bombings and the Cognitive Limits of Empathy

Reblogged from The Situationist:

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From Situationist friend and Harvard Law School 3L, Kate Epstein, an essay about Monday's tragedy:

As I hear reactions to the bombings at the marathon on Monday, I find myself agreeing with Glenn Greenwald's column in The Guardian, titled "The Boston bombing produces familiar and revealing reactions: As usual, the limits of selective empathy, the rush to blame Muslims, and the exploitation of fear all instantly emerge." Particularly interesting to me are our cognitive limits, as humans, when it comes to empathy.

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What E. O. Wilson got right, what confused him, and what he disrespected

Reblogged from Sociobiology:

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The brilliant conservation and ant biologist E. O. Wilson wrote a bizarre piece for the Wall Street Journal recently. It is modified from an upcoming book of advice for young students. It has inspired an intense flurry of highly negative comments that have mostly focused on a tiny piece of his argument, so I think it might be worthwhile here to first summarize what he says.

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It IS a shame how the fear of math causes promising students to reconsider a career in science. I know that math isn't listed as a top fear, but public speaking is. I bet that some of the reasons that people fear public speaking (e.g., feeling that other perceive you incompetent) are similar to reasons why aspiring students quit science in fear of math.

The (not quite) Science of Vice Taxes

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Although it’s a fleeting desire, people do actually want to be healthy. When they’re motivated to maintain or improve their health, people will seek out information to do so and act accordingly. Unfortunately, the mind is a divided system of competing motivations, and “be healthy” is not one motivation to pick fights. This idea, that health is a losing motivation for many people, can explain why obesity is such a problem in a country with cheap, calorie-dense foods. The widely accepted proposal to address this is to trigger another seemingly more powerful motivator: money. The prevailing logic is that people will buy less unhealthy products if those products are more expensive. If we tax alcohol, tobacco, and sugar, people will buy less of these products and, hopefully, drink less, smoke less, and consume fewer calories.

When Mayor Bloomberg of New York City proposed taxes on large sugary drinks, it was exciting because it seemed like policy makers might finally be taking the advice of psychologists and behavioral economists. It’s common to think that medicine and engineering provide drugs, treatments, structures and technologies that realistically impact our lives, but that behavioral sciences aimlessly document how people think and behave in counter-intuitive ways. A beautifully engineered iPhone 5 might drive computing and communication into a new age, while a study priming men to be measurably more creative seems nothing more than an interesting read over coffee at the kitchen table. In fact, behavioral science research supplies necessary tools for addressing human problems (see Scott Atran’s argument here).

Despite the potential to inform public policy, behavioral science, like natural science, requires empirical evidence. Just like approving the safety of a plane requires more than good computer simulations, or a safe drug requires more than thorough animal trials, real confidence in policy aimed at changing public behavior requires randomized experiments and field studies (see Dave Nussbaum’s piece here, and Richard Thaler here). I think that the proposal to tax soft drinks falls short of actual applied behavioral science. Though there is good theory to expect vice taxes to reliably decrease the behaviors at which they’re targeted, the empirical data just aren’t there (or the effects are small, see Fletcher, Frisvold, & Tefft, 2010).

A good example of randomized trials that could inform policy comes from research at Cornell. Brian Wansink and colleagues published their findings from a field study in the eastern United States (Wansink, Hanks, Just, Cawley, Sobal, Wethington, & Schulze, 2012). Over 6 months, they tracked the purchases of over 100 households, half of which received a 10% tax on low nutrient: calorie foods during the treatment period. They found that although the treatment group (compared to control) purchased significantly less taxed, unhealthy foods during the first month, these differences disappeared by three months and purchases were unchanged by six months. Moreover, among those in the treatment group, households that reported to be regular beer and fruit juice purchasers actually increased their purchases of these products.

It is findings like these that, if communicated effectively, would shock a committee assembled to discuss vice taxes. The point is not to suggest that we avoid policy designed to nudge people into make better decisions. Rather, we should inform our decisions about such behavioral change, and who better to inform us than the experts on behavior themselves—economists, psychologists, sociologists and the like. Alas, my fear is that paying for social experiments to inform policy is not a high priority, much like “be healthy” is not a strong motivation.

References

Fletcher, J. M., Frisvold, D., & Tefft, N. (2010). Can soft drink taxes reduce population weight?. Contemporary Economic Policy28(1), 23-35.

Wansink, B., Hanks, A., Just, D., Cawley, J., Sobal, J., Wethington, E., & Schulze, W. (2012). From Coke to Coors: a field study of a sugar-sweetened beverage tax and its unintended consequences. Available at SSRN.

David Sloan Wilson. Clash of Paradigms: Why Proponents of Multilevel Selection Theory and Inclusive Fitness Theory Sometimes (But Not Always) Misunderstand Each Other

Reblogged from Social Evolution Forum:

Thomas Kuhn (1970) forever changed the conception of science with his notion of paradigms. Before, science was often seen as a relatively straight path to the truth through the repeated formation and testing of hypotheses. What could be simpler?

Kuhn observed that scientists sometimes get stuck viewing a topic a certain way.  Their particular configuration of ideas is capable of a limited degree of change through hypothesis formation and testing, but cannot escape from its own assumptions in other respects.

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Problems with Science as an Institution

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I’ve noticed an increasing amount of blogs and popular media pieces on the vices of science as an institution. Replication, Publication biases, fraud and misconduct, and Scientism vs. Science are my selected themes. Here are some of my favorites, in no particular order:

 

http://www.davenussbaum.com/crimes-and-misdemeanors-reforming-social-psychology/

http://www.davenussbaum.com/conceptual-replication-part-i/

http://www.davenussbaum.com/replicating-dissonance/

http://chronicle.com/blogs/percolator/is-psychology-about-to-come-undone/29045

http://www.tnr.com/article/books-and-arts/magazine/103086/scientism-humanities-knowledge-theory-everything-arts-science#

http://whyevolutionistrue.wordpress.com/2012/09/11/uncle-eric-on-scientism-and-ways-of-knowing/

http://www.ted.com/talks/ben_goldacre_what_doctors_don_t_know_about_the_drugs_they_prescribe.html

http://www.ted.com/talks/ben_goldacre_battling_bad_science.html

http://www.edge.org/responses/q2013, What Should We Be Worried About?
Bruce Hood - Impact
Director of the Bristol Cognitive Development Centre in the Experimental Psychology Department at the University of Bristol; Author, The Self-Illusion

As someone fairly committed to the death of our solar system and ultimately the entropy of the universe, I think the question of what we should worry about is irrelevant in the end. Also, before reaching that conclusion, natural selection eventually corrects for perturbations that threaten the stability of environments. Nature will find a way and ultimately all things will cease to be. So I could be glib and simply recommend, “Don’t worry, be happy.” Of course, we are not wired that way and being happy requires not worrying. My concern then, rather than worry, is how we go about science and in particular the obsession with impact.

Up until the last century, science was largely the perogative of the independently wealthy who had the resources and time to pursue their passions for discovery. Later, large commercial companies would invest in research and development to gain the edge over competitors by innovating. The introduction of government funding for science in the early part of the 20th century was spurred by wars, economic depression and disease. This not only broadened the scope of research by enabling much larger projects that were not motivated simply by profit, but it created a new profession of the government funded scientist. The end of the 20th century in the UK was the golden period for funding. Since then, there has been significant shrinkage in the West at least, of support for research in science. Today it is much harder to attract funding for research as Governments grapple with the world recession. Unless of course, if that research generates economic wealth.

It used to be the case that for a research grant application, it was expected that the results of any output would be disseminated in the form of publications or presentations at conferences which could be covered in a sentence or two. In the UK today and I expect this also true in the US, a significant proportion of the application must address something called “pathways to impact.” What does that mean exactly? According to the UK research councils’ own guidelines, it has to be a “demonstrable contribution that excellent research makes to society and the economy. Impact embraces all the extremely diverse ways in which research-related knowledge and skills benefit individual, organisations and nations by: fostering global economic performance, and specifically the economic competitiveness of the UK; increasing the effectiveness of public services and policy; enhancing quality of life, health and creative output.” This is not simply a box-ticking exercise. Next year as part of the nationwide assessment of UK research known as the Research Excellence Framework (REF), impact features prominently in the equation.

What’s the problem you might ask? Taxpayer’s money funds research and they need a return on their investment. The first major problem is that it shifts the agenda away from scientific discovery the application of science. I have witnessed in my own department in the past ten years that those who work on theoretical science are not as successful as those who work on application. Moreover, that application is primarily motivated by economic goals. Universities are being encouraged to form partnerships with industry to make-up for the reduction in government funding. This is problematic for two reasons: the practices and agendas of industry conflict with those of the independent researcher and second, many important innovations were not conceived as applications and would probably not have emerged in an environment that emphasized commercial value. I would submit that focusing on impact is a case of putting the cart before the horse or at least not recognizing the value of theoretical work. We would be wise to remember Francis Bacon’s advice that serendipity is a natural consequence of the pursuit of science.

Also many of us work in areas that are difficult to fit into the impact framework. My own research is theoretical. When I am asked to provide a pathway to impact statement, I rely on my experience and enjoyment of public lectures because frankly, the things that interest me do not obviously translate into impact that will foster economic performance. However, public engagement can be problematic especially when addressing issues of concern. Most members of the general public, and more importantly the media that inform them, are not familiar with either the scientific method or statistics. This is one reason why the public is so suspicious of scientists or finds them frustrating because they never seem to give a straight answer when asked to comment on some pertinent topic such as vaccination or health risks. Most non-scientists do not understand explanations that are couched in terms of probability or the complexity of multi-factorial interactions. Each week we see headlines such as “X causes cancer” or the discovery of “Genes for X” which reflect this need to simplify scientific findings.

Finally, most academics themselves have fallen foul of the allure of impact. Every science journal has an impact factor which is a measure of how often articles are cited. It is a reasonable metric but it creates a bias in the scientific process to prioritize those studies that are the most extraordinary. As we have witnessed in the past few years, this has led to the downfall of several high profile scientists who lost their jobs because they fabricated studies that ended up in high impact journals. Why did they do this? For the simple reason that you need impact in order to be a success. My concern is that impact is incompatible with good science because it distorts the process by looking for the immediate payoff and to hell with caution.

Maybe my concern is unwarranted. Science is self-correcting and when the world comes out of recession, we should see a return to the balance between theory and application. Maybe I should have been more alarmist. That way I am sure that I would have made more impact.

More puffery about epigenetics, and my usual role as go-to curmudgeon

Reblogged from Why Evolution Is True:

The word "epigenetics" once meant simply "development"—that is, the way the genome worked itself into an organism through the production and regulation of proteins and absorption of food and materials from the outside, and the turning of some genes on and others off in different tissues.  Now, however, the term means roughly "forms of inheritance that rest on modification of the DNA sequence," and by "DNA sequence" I mean the sequence of four bases (A, G, C, and T) that constitutes the DNA code.

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The Unblushing Male

In an important sense there is only one complete unblushing male in America: a
young, married, white, urban, northern, heterosexual, Protestant, father, of college
education, fully employed, of good complexion, weight, and height, and a recent
record in sports. . . . Any male who fails to qualify in any one of these ways is likely
to view himself—during moments at least—as unworthy, incomplete, and inferior.

- Erving Goffman (1963), Canadian-American Sociologist

Freedom doesn’t emerge from stuff

The properties that emerge from the stuff that makes up my hands are obviously different from those properties that emerge from my brain. Still, uncaused causation (i.e., literal freedom) is not one of those properties: creative minds are no more or no less free than are skilled hands.

Give a reason

You should always have reasons for your beliefs. When you have them, be ready to explain them because people are going to ask. If they don’t, they ought to because an unquestioned reason is just a statement, the foundation of unreliable beliefs. Is unreliable bad? Yes, unreliable is bad.

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The Ecology of Disease

The Ecology of Disease

“If we fail to understand and take care of the natural world, it can cause a breakdown of these systems and come back to haunt us in ways we know little about. A critical example is a developing model of infectious disease that shows that most epidemics — AIDS, Ebola, West Nile, SARS, Lyme disease and hundreds more that have occurred over the last several decades — don’t just happen. They are a result of things people do to nature.”