This is a question asked by Edge.org. They ask a different question each year and that is the question this year, 2014. Several of the responses fit into my recent thinking about human nature, race, genetics, intelligence, behavior, scientific methodology, etc..
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“Race has a hold on history, but it no longer has a place in science. The sheer instability and potential for misinterpretation render race useless as a scientific concept. Inventing new vocabularies of human diversity and inequity won’t be easy, but is necessary. ”
“A conserved genome can generate novelties through rearrangements (within or between genes), changes in regulation or genome duplication events. For example, the vertebrate genome has been replicated in their entirety twice in their evolutionary history; salmonid fish have undergone a further two whole genome duplications. Duplications reduce selection on the function of one of the gene copies, allowing that copy to mutate and evolve into a new gene whilst the other copy maintains business as usual. Conserved genomes can also harbour a lot of latent genetic variation—fodder for evolving novelty—which is not exposed to selection. Non-lethal variation can lie dormant in the genome by not being expressed, or by being expressed at times when it doesn’t have a lethal effect on the phenotype. The molecular machinery that regulates expression of genes and proteins depends on minimal information, rules and tools: transcription factors recognise sequences of only a few base-pairs as binding sites, which gives them enormous potential for plasticity in where they bind. Pleiotropic changes across many conserved genes using different combination of transcription, translation and/or post-translation activity are a good source of genomic novelty. E.g. the evolution of beak shapes in Darwin’s finches is controlled by pleiotropic changes brought about by changes in the signalling patterns of a conserved gene that controls bone development. The combinatorial power of even a limited genetic toolkit gives it enormous potential to evolve novelty from old machinery.”
“Perhaps the behavior of people in groups will eventually be explained as a combination of moment-to-moment influences (like waves on the sea) and powerful drivers that work outside of awareness (like deep ocean currents). All the open questions are important and fascinating. But they’re only visible after we give up the simplistic notion that we are sheep.”
“We need new, more thoughtful experimental designs and systems approaches that take into account these issues. Also, new genomic insights will make it possible to better understand individual variations to treatment rather than hoping that this variability will be “averaged out” by randomly-assigning patients.”
“That a theory of mental illness should make reference to the world outside the brain is no more surprising than that the theory of cancer has to make reference to cigarette smoke. And yet what is commonplace in cancer research is radical in psychiatry. The time has come to expand the biological model of psychiatric disorder to include the context in which the brain functions. In understanding, preventing and treating mental illness, we will rightly continue to look into the neurons and DNA of the afflicted and unafflicted. To ignore the world around them would be not only bad medicine but bad science.”
“It often appears to me that critics of “impure” altruism chide helpers for acting in human ways, for instance by doing things that feel good. The ideal, then, seems to entail acting altruistically while not enjoying those actions one bit. To me, this is no ideal at all. I think it’s profound and downright beautiful to think that our core emotional makeup can be tuned towards others, causing us to feel good when we do. Color me selfish, but I’d take that impure altruism over a de-enervated, floating ideal any day.”
“People are most effective in social life if we are—and show ourselves to be—both warm and competent. This is not to say that we always get it right, but the intent and the effort must be there. This is also not to say that love is enough, because we do have to prove capable to act on our worthy intentions. The warmth-competence combination supports both short-term cooperation and long-term loyalty. In the end, it’s time to recognize that people survive and thrive with both heart and mind.”
“Based on recent discoveries, I have now come to suspect that the reason for this lack of progress in physically defining intelligence is due to the entire scientific concept of treating intelligence as a static property—rather than a dynamical process—being ready for retirement.
“But then this concept is rooted in the notion that human beings (and animals) are really dominated by selfishness and egoism so that you need a concept to explain why they sometimes behave unselfish and kind to others.
“But the reality is different: Humans are deeply bound to other humans and most actions are really reciprocal and in the interest of both parties (or, in he case of hatred, in the disinterest of both). The starting point is neither selfishness nor altruism, but the state of being bound together. It is an illusion to believe that you can be happy when no one else is. Or that other people will not be affected by your unhappiness.
“Behavioral science and neurobiology has shown how intimately we are bound: Phenomena like mimicry, emotional contagion, empathy, sympathy, compassion and prosocial behavior are evident in humans and animals. We are influenced by the well-being of others in more ways than we normally care to think of. Therefore a simple rules applies: Everyone feels better when you are well. Your feel better when everyone is well.
“This correlated state is the real one. The ideas of egoism and hence its opposite concept altruism are second-order concepts, shadows or even illusions.”
“Again, experience matters. Several studies have now documented that experience may influence moral outcomes via a “gene-environment interaction.” That is, rather than a simple equation in which, say, adverse experiences lead to antisocial children: [child + abuse – ameliorating experiences = violence], the relationship between abuse and antisocial behavior is only observed in children with particular versions of various genes known to regulate certain social hormones. That is, whether they have been abused or not, children with the “safe” gene alleles are all about equally (un)likely to engage in antisocial behavior. Children with the “at risk” alleles, on the other hand, are more susceptible to the damages of abuse.”
“These findings fit in a relatively new field of study called epigenetics. Epigenetic control of gene expression contributes to cells in a single organism (which share the same DNA sequence) developing differently into e.g. heart cells or neurons. But the last decade has shown actual evidence–and possible mechanisms–for how the environment and the organism’s behavior in it might cause heritable changes in gene expression (with no change in the DNA sequence) that are passed onto offspring. In recent years, we have seen evidence of epigenetic inheritance across a wide range of morphological, metabolic, and even behavioral traits.
“The intergenerational transmission of acquired traits is making a comeback as a potential mechanism of evolution. It also opens up the interesting possibility that better diet, exercise, and education which we thought couldn’t affect the next generation–except with luck through good example–actually could.”
“Despite the significant role of these “gray” actors, social scientists interested in analyzing crime usually focus their attention only on criminal individuals and criminal actions. Those scientists usually study crime through qualitative and quantitative data that informs only of those “dark” elements, while omitting the fact that transnational and domestic crime is carried out by various types of actors who don’t interact solely through criminal actions. This is a hyper-simplified approach—a caricature—because those “dark” elements are only the tip of the iceberg regarding global crime.
“This simplified approach also assumes that society is a digital and binary system in which the “good” and the “bad” guys—the “us” and “them”—are perfectly distinguishable. This distinction is useful in penal terms when simple algorithms—”if individual X executes the action Y, then X is criminal”—orient the decision of judges delivering final sentences. However, in sociological, anthropological, and psychological terms, this line is more difficult to define. If society is a digital system, it is certainly not a binary one.”
“My scientific reason for arguing for Radical Behaviorism should be retired is not to revisit the now stale nature-nurture debate (all reasonable scientists recognize an organism’s behavior is the result of an interaction of these), but rather because Radical Behaviorism is scientifically uninformative. Behavior by definition is the surface level, so it follows that the same piece of behavior could be the result of different underlying cognitive strategies, different underlying neural systems, and even different underlying causal pathways. Two individuals can show the same behavior but can have arrived at it through very different underlying causal routes. Think of a native speaker of English vs. someone who has acquired total fluency of English as a second language; or think of a person who is charmingly polite because they are genuinely considerate to others, vs. a psychopath who has learnt how to flawlessly perform being charmingly polite. Identical behavior, produced via different routes. Without reference to underlying cognition, neural activity, and causal mechanisms, behavior is scientifically uninformative.”
“The world is massively interconnected through causal chains. Gravity alone causally connects all objects with mass. The world is even more massively correlated with itself. It is a truism that statistical correlation does not imply causality. But it is a mathematical fact that statistical independence implies no correlation at all. None. Yet events routinely correlate with one another. The whole focus of most big-data algorithms is to uncover just such correlations in ever larger data sets.
“Statistical independence also underlies most modern statistical sampling techniques. It is often part of the very definition of a random sample. It underlies the old-school confidence intervals used in political polls and in some medical studies. It even underlies the distribution-free bootstraps or simulated data sets that increasingly replace those old-school techniques.”
“About a decade ago, this question led a group of philosophers, along with sympathetic colleagues in psychology and anthropology, to stop assuming that their intuitions were widely shared and design studies to see if they really are. In study after study, it turned out that philosophical intuitions do indeed vary with culture and other demographic variables. A great deal more work will be needed before we have definitive answers about which philosophical intuitions vary, and which, if any, are universal.”
“You probably already knew that naïve reductionism is often too simplistic. However, there is another point. It’s not just that you are composite, something you already knew, but you are in some senses not even human. You have perhaps a hundred trillion bacterial cells in your body, numbering ten times more than your human cells, and containing a hundred times as many genes as your human cells. These bacteria are not just passive occupants of the zoo that is you. They self-organize into communities within your mouth, guts and elsewhere; and these communities—microbiomes—are maintained by varied, dynamic patterns of competition and cooperation between the different bacteria, which allow us to live.
“In the last few years, genomics has given us a tool to explore the microbiome by identifying microbes by their DNA sequences. The story that is emerging from these studies is not yet complete but already has led to fascinating insights. Thanks to its microbes, a baby can better digest its mother’s milk. And your ability to digest carbohydrates relies to a significant extent on enzymes that can only be made from genes not present in you, but in your microbiome. Your microbiome can be disrupted, for example due to treatment by antibiotics, and in extreme cases can be invaded by dangerous monocultures, such as Clostridium difficile, leading to your death. Perhaps the most remarkable finding is the gut-brain axis: your gastrointestinal microbiome can generate small molecules that may be able to pass through the blood-brain barrier and affect the state of your brain: although the precise mechanism is not yet clear, there is growing evidence that your microbiome may be a significant factor in mental states such as depression and autism spectrum conditions. In short, you may be a collective property arising from the close interactions of your constitutents.”
“Yes, we can reliably say that men are taller than women, on average; that Norwegians are richer than Swedes; that first-born children are smarter than second-born children. And we can do experiments to detect tiny differences in means—between groups exposed and unexposed to a virus, or between groups with and without a particular allele of a gene. But this is too simple and too narrow a view of the natural world.
“Our focus on averages should be retired. Or, if not retired, we should give averages an extended vacation. During this vacation, we should catch up on another sort of difference between groups that has gotten short shrift: we should focus on comparing the difference in variance (which captures the spread or range of measured values) between groups.”
“Unfortunately, the cause-and-effect paradigm does not just fail at the quantum scale. It also falls apart when we try to use causation to explain complex dynamical systems like the biochemical pathways of a living organism, the transactions of an economy, or the operation of the human mind. These systems all have patterns of information flow that defy our tools of storytelling. A gene does not “cause” the trait like height, or a disease like cancer. The stock market did not go up “because” the bond market went down. These are just our feeble attempts to force a storytelling framework onto systems that do not work like stories. For such complex systems, science will need more powerful explanatory tools, and we will learn to accept the limits of our old methods of storytelling. We will come to appreciate that causes and effects do not exist in nature, that they are just convenient creations of our own minds.”
“Ostrom’s factual approach to the commons came with very good theory, too. Preconditions to the commons’ sustainability were, in Ostrom’s idea: clarity of the law, methods of collective and democratic decision-making, local and public mechanisms of conflict resolution, no conflicts with different layers of government. These preconditions do exist in many historically proven situations and there is no tragedy there. Cultures that understand the commons are contexts that make a sustainable behaviour absolutely rational.”
“There is a long history of acrimonious debate over which, if any, aspects of IQ are heritable. The most compelling studies concern twins raised apart and adoptions. Twin studies rarely have large sample populations. Moreover, they often involve twins separated at birth because a parent dies or cannot afford to support both, and one is given over to be raised by relatives, friends or neighbors. This disallows ruling out the effects of social environment and upbringing in producing convergence among the twins. The chief problem with adoption studies is that the mere fact of adoption reliably increases IQ, regardless of any correlation between the IQs of the children and those of their biological parents. Nobody has the slightest causal account of how or why genes, singly or in combination, might affect IQ. I don’t think it’s because the problem is too hard, but because IQ is a specious rather natural kind.”
“Ridding science of essentialism is easier said than done. Consider the simplicity of this essentialist statement from the past: “Gene X causes cancer.” It sounds plausible and takes little effort to understand. Compare this to a more recent explanation: “A given individual in a given situation, who interprets that situation as stressful, may experience a change in his sympathetic nervous system that encourages certain genes to be expressed, making him vulnerable to cancer.” The latter explanation is more complicated, but more realistic. Most natural phenomena do not have a single root cause. Sciences that are still steeped in essentialism need a better model of cause and effect, new experimental methods, and new statistical procedures to counter essentialist thinking.
“This discussion is more than a bunch of metaphysical musings. Adherence to essentialism has serious, practical impacts on national security, the legal system, treatment of mental illness, the toxic effects of stress on physical illness… the list goes on. Essentialism leads to simplistic “single cause” thinking when the world is a complex place. Research suggests that children are born essentialists (what irony!) and must learn to overcome it. It’s time for all scientists to overcome it as well.”
“At the same time, the concept of humans as “social by nature” has lent credibility to numerous significant ideas: that humans need other humans to survive, that humans tend to be perpetually ready for social interaction, and that studying specifically the social features of human functioning is profoundly important. ”
“Multiple regression, like all statistical techniques based on correlation, has a severe limitation due to the fact that correlation doesn’t prove causation. And no amount of measuring of “control” variables can untangle the web of causality. What nature hath joined together, multiple regression cannot put asunder. ”
“Essentialism rears its ugly head in racial terminology. The majority of “African Americans” are of mixed race. Yet so entrenched is our essentialist mind-set, American official forms require everyone to tick one race/ethnicity box or another: no room for intermediates. A different but also pernicious point is that a person will be called “African American” even if only, say, one of his eight great grandparents was of African descent. As Lionel Tiger put it to me, we have here a reprehensible “contamination metaphor.” But I mainly want to call attention to our society’s essentialist determination to dragoon a person into one discrete category or another. We seem ill-equipped to deal mentally with a continuous spectrum of intermediates. We are still infected with the plague of Plato’s essentialism.”
“But we still don’t know if this is merely of academic interest or has important disease-inducing impact. For sure the mosaicism that occurs later in life, in “terminally differentiated” cells, is known to be important in the development of cancer. And the mosaicism of immune cells, particularly lymphocytes, appears to be part of a healthy, competent immune system. Beyond this, it largely remains unclear as to the functional significance of each of us carrying multiple genomes.
“The implications are potentially big. When we do use a blood sample to evaluate a person’s genome, we have no clue about the potential mosaicism that exists throughout the individual’s body. So a lot more work needs to be done to sort this out, and now that we have the technology to do it, we’ll undoubtedly better understand our remarkable heterogeneous genomic selves in the years ahead.”
“Inheritability is not the inverse of mutability, and to say that the heritability of a trait is high is not to say that the environment has no effect because heritability scores are themselves affected by the environment. Take the case of height. In the rich world, the heritability of height is something like 80 per cent. But this is only because our nutrition is universally quite good. In places where malnutrition or starvation are common, environmental factors predominate and the heritability of height is much lower.”
“All three of these scientific developments suggest that almost everything we do is not just the result of the interaction of nature and nurture, it is both simultaneously. Nurture is our nature and learning and culture are our most important and distinctive evolutionary inheritance.”
“Even the technical sense of “environment” used in quantitative behavioral genetics is perversely confusing. Now, there is nothing wrong with partitioning phenotypic variance into components that correlate with genetic variation (heritability) and with variation among families (“shared environment”). The problem comes from the so-called “nonshared” or “unique environmental influences.” This consists of all the variance that is attributable neither to genetic nor familiar variation. In most studies, it’s calculated as 1 – (heritability + shared environment). Practically, you can think of it as the differences between identical twins who grow up in the same home. They share their genes, parents, older and younger siblings, home, school, peers, and neighborhood. So what could make them different? Under the assumption that behavior is a product of genes plus environment, it must be something in the environment of one that is not in the environment of the other.
“But this category really should be called “miscellaneous/unknown,” because it has nothing necessarily to do with any measurable aspect of the environment, such as one sibling getting the top bunk bed and the other the bottom, or a parent unpredictably favoring one child, or one sibling getting chased by a dog, coming down with a virus, or being favored by a teacher. These influences are purely conjectural, and studies looking for them have failed to find them. The alternative is that this component actually consists of the effects of chance – new mutations, quirky prenatal effects, noise in brain development, and events in life with unpredictable effects.”
“So it has been and will continue to be with other forms of the hard-wired=permanent idea, such as violence. We may be hard-wired for violence, but we can attenuate it considerably through scientifically tested methods. Thus, for my test case here, I predict that in another 500 years the God-theory of causality will have fallen into disuse, and the 21st-century scientific theory that God is hardwired into our brains as a permanent feature of our species will be retired.”
“The reliance on homo economicus as the basis of human motivation has given rise to a grand body of theory and research over the past two hundred years. As an underlying assumption, it has generated some of the best work in economics. As a foil, it has generated findings about cognitive limitations, the role of social interactions, and ethically based motivations. The power of the concept of homo economicus was once great, but its power has now waned, to be succeeded by new and better paradigms and approaches grounded in more realistic and scientific understandings of the sources of human action.”