How Do You Think?

Although I did not make a substantial number of posts in 2013, the traffic to my site remained relatively vigorous.  Throughout 2013 my blog had 24,007 hits from 21,042 unique visitors, accounting for nearly 30,000 page views.  I had visitors from every state in the US and 158 nations around the world.  Visitors from the United States accounted for the vast majority of those hits, but the UK, Canada, Australia, India, China, and Germany also brought in large contingents.

Of my posts published in 2013, none made it to this year’s top ten list: five were from 2010,  four were published in 2011, and one was from 2012.  This year the top ranked article (The Moral Instinct) was a 2010 review of a very popular 2008 New York Time’s article by Steven Pinker.   This perennially popular piece ranked 5th last year, 4th in 2011 and 3rd in 2010.   Its bounce to the top this year is more of a testament to Pinker and the popularity of his piece that explores the universality of morals.  In that piece I wrote:

Pinker delves into the neurological factors associated with morality and the evolutionary evidence and arguments for an instinctual morality. He reviews several important studies that provide evidence for these hypotheses. But, he argues that morality is more than an inheritance – it is larger than that. It is contextually driven. He notes: “At the very least, the science tells us that even when our adversaries’ agenda is most baffling, they may not be amoral psychopaths but in the throes of a moral mind-set that appears to them to be every bit as mandatory and universal as ours does to us. Of course, some adversaries really are psychopaths, and others are so poisoned by a punitive moralization that they are beyond the pale of reason. ” He further contends “But in any conflict in which a meeting of the minds is not completely hopeless, a recognition that the other guy is acting from moral rather than venal reasons can be a first patch of common ground.

This article may have also remained popular because of its relevance with regard to the state of affairs in today’s political arena and the application of Jonathon Haidt’s increasingly popular work on the Moral Foundations Theory.  

The 2013 number two ranked piece Nonmoral Nature: It is what it is, is a review of one of Stephen Jay Gould’s most famous articles where he argued that there is no evidence of morality in nature, that in fact “nature as it plays out evolution’s dance, is entirely devoid of anything pertaining to morality or evil. We anthropomorphize when we apply these concepts. Even to suggest that nature is cruel is anthropomorphizing. Any true and deep look at the struggle for life that constantly dances in our midst can scarcely lead to any other conclusion but that nature is brutal, harsh, and nonmoral” (Gould).  Historically this has been a controversial topic and remains so in certain circles today.  This piece has remained popular over the years – ranking 4th last year and 2nd in 2011 and 2010.

Brain MRI

Brainwaves and Other Brain Measures – the 3rd ranking post this year ranked 2nd last year and 1st in 2011. This very popular piece takes a pragmatic, comparative, and colorful look at the various ways of measuring brain activity.  My 2012 article Happiness as Measured by GDP: Really?  is finally getting some attention.  Although it ranked 10th last year, it has climbed into the number four slot this year.  I contend that this is perhaps one of the most important articles I have written.

Proud as a Peacock By Mark Melnick

My critical article on the widely used Implicit Associations Test ranked 5th this year, 6th in 2012, and 4th in 2011. Last year’s number one piece on Conspicuous Consumption and the Peacock’s Tail  is one of my favorite pieces.  It addresses our inherent drive to advance one’s social standing while actually going nowhere on the hedonic treadmill.  It delves into the environmental costs of buying into the illusion of consumer materialism and its biological origins (the signaling instinct much like that of the Peacock’s tail).

I am excited to report that Poverty is a Neurotoxin is also finally gaining some traction.  Published in 2011 it has never achieved a top ranking; although, in my humble opinion, it is no less important.  Rounding out the top ten of 2013, my Hedgehog versus the Fox mindset piece ranked 8th this year, 9th last year, and 10th in 2011. One of my all time favorite posts from 2010,  What Plato, Descartes, and Kant Got Wrong: Reason Does not Rule made it back to the top ten list this year coming in 9th.  It was 7th in 2011 and 8th in 2010.  My 2011 post Where Does Prejudice Come From? ranked 10th this year, 7th last year, and 5th in 2011.

So here is the Top Ten list for 2013.

1. Moral Instinct  (2010) 4182 page views since published – All time ranking #5
2. Non Moral Nature: It is what it is (2010) 4616 page views since published – All time ranking #3
3. Brainwaves and Other Brain Measures (2011) 7941 page views since published – All time ranking #1
4. Happiness as Measured by GDP: Really? (2012) 1719 page views since published – All time ranking #8
5. IAT: Questions of Reliability and Validity  (2010) 2572 page views since published – All time ranking #6
6. Conspicuous Consumption & the Peacock’s Tail (2011) 7677 page views since published – All time ranking #2
7. Poverty is a Neurotoxin (2011) 960 page views since published – All time ranking #18
8. Are you a Hedgehog or a Fox?  (2010) 1702 page views since published – All time ranking #9
9. What Plato, Descartes, and Kant Got Wrong: Reason Does not Rule (2010) 1381 page views since published – All time ranking #12
10. Where Does Prejudice Come From?  (2011) 1625 page views since published – All time ranking #10

Rounding out the top ten All Time Most Popular Pieces are:

• Wicked! Things are NOT as they Seem (2012) 4485 page views since published – All time ranking #4
• Attribution Error (2010) 2263 page views since published – All time ranking #7

These top ranking articles represent the foundational issues that have driven me in my quest to understand how people think.   This cross section of my work is, in fact, a good starting point for those who are new to my blog.

There are several other 2013 posts that ranked outside this year’s top ten list; regardless, I believe they are important.  These other posts include:

1. Mind Pops: Memories from out of the Blue
2. Who Cheats More: The Rich or the Poor?
3. Crime, Punishment, and Entitlement: A Deeper Look
4. Cheaters
5. American Exceptionalism: I’m all for it!
6. Partisan Belief Superiority and Dogmatism as a Source of Political Gridlock

Maintaining relevance is an article, published in 2012, The Meek Shall Inherit The Earth: Our Microbiome, pertains to the collection of an estimated 100 trillion individual organisms (bacteria for the most part) thriving in and on your body that account for about three pounds of your total body weight (about the same weight as your brain).  These little creatures play a huge role in your physical and mental well being and we are just beginning to understand the extent of their reach.  Modern medicine in the future, will likely embrace the microbiotic ecosystem as a means of preventing and treating many illnesses (including treating some mental illnesses).  I have continued to update this piece with comments including links to new research on this topic.

Children of high socioeconomic status (SES) show more activity (dark green) in the prefrontal cortex (top) than do kids of low SES when confronted with a novel or unexpected stimulus. (Mark Kishiyama/UC Berkeley)

Although, not among the most popular articles this year, my pieces on the pernicious affects of poverty on child development from 2011 warrant ongoing attention.  If we truly wish to halt the cycle of poverty, then we need to devote early and evidenced based intervention services for children and families living in poverty.  As it turns out, poverty is a neurotoxin.  Knowing the information in this series should motivate us, as a society, to truly evaluate our current political and economic policies.

• Parenting May Matter: For Infants and the Economically Deprived 

• The Effects of Poverty on Brain Development 

• The Economic, Neurobiological, and Behavioral Implications of Poverty 

• Halting the negative Feedback Loop of Poverty 

• Poverty Preventing Preschools 

• Poverty is a Neurotoxin 

The bottom line:

The human brain, no matter how remarkable, is flawed in two fundamental ways.  First, the proclivities toward patternicity (pareidolia), hyperactive agency detection, and superstition, although once adaptive mechanisms, now lead to many errors of thought.  Since the age of enlightenment, when human-kind developed the scientific method, we have exponentially expanded our knowledge base regarding the workings of the world and the universe.  These leaps of knowledge have rendered those error prone proclivities unessential for survival.  Regardless, they have remained a dominant cognitive force.  Although our intuition and rapid cognitions (intuitions) have sustained us, and in many ways they still do, the subsequent everyday illusions impede us in important ways.

Secondly, we are prone to a multitude of cognitive biases that diminish and narrow our capacity to truly understand the world. Time after time I have written of the dangers of ideology with regard to its capacity to blindfold its disciples.  Often those blindfolds are absolutely essential to sustain the ideology.  And this is dangerous when truths and facts are denied or innocents are subjugated or brutalized.  As I discussed in Spinoza’s Conjecture:

 

“We all look at the world through our personal lenses of experience.  Our experiences shape our understanding of the world, and ultimately our understanding of [it], then filters what we take in.  The end result is that we may reject or ignore new and important information simply because it does not conform to our previously held beliefs.

Because of these innate tendencies, we must make additional effort to step away from what we believe to be true in order to discover what is indeed true.

The Hand of God as an example of pareidolia.

It is often argued that the United States is exceptional with regard to its capabilities and responsibilities.  With respect to its military prowess, and defense budget, it is certainly exceptional.  I am curious however.  To what extent is the US exceptional in other important ways?  Is the US the envy of the world with regard to its educational system and its healthcare?  How safe are Americans?  Further, does America prove exceptional with regard to issues such as equality, democracy, and opportunity?  I for one, am all for being exceptional.  Shouldn’t we strive for superiority in all these areas?  Is not a person’s character judged based on variables other than one’s physical strength?  Are not issues such as kindness, fairness, and morality given important consideration when we evaluate each other?  I suggest that nations too should be judged on these issues.  We as a people certainly judge other nations based on these attributes.

So, how does the US compare to other wealthy and developed nations on these important issues?  Let us take a closer look.  By far, the best accessible and concise analysis of this question is contained in The Measure of a Nation by Howard Steven Friedman.  Dr. Friedman is a prominent statistician and health economist at the United Nations and he teaches at Columbia University.  Measure of a Nation was named by Jared Diamond (author of Pulitzer Prize winning Guns Germs and Steel) as the best book of 2012 in an interview published in the New York Times.  I have to agree with Diamond’s opinion.  Friedman’s book is a data driven assessment of 14 nations, each meeting specific criteria for population (at least 10 million) and wealth (mean GDP at least $20,000).   Friedman methodically and carefully analyzes data from each nation and creates a relative ranking system whereby each nation is evaluated on diverse issues such as Health, Safety, Education, Democracy, and Equality.  The comparison countries include: UK, Canada, Germany, Spain, Portugal, France, Belgium, Italy, Greece, Netherlands, Australia, Korea, and Japan.

Friedman’s book constitutes an ambitious undertaking and he is careful to be clear about the pitfalls associated with the measures and analyses used.  In the end however, as a skilled statistician and economist, he was able to pull together a clear and concise  comparative ranking system that factually answers the question – “Is America Exceptional?”

He are the rankings:

Data is from The Measure of a Nation, by Howard Steven Friedman

I don’t know about you, but I was appalled by these findings.   The US comes up with a last place ranking on a majority of very important quality of life variables with regard to health, safety, democracy, and equality.  It gets worse when you look at all the comparisons drawn in Friedman’s book.  I included only those measures that could easily be put in a table without the need for deeper explanation.   And with regard to education, we are in the middle and bottom third of the rankings, except when it comes to years of education and percent of the population getting secondary education.   Our literacy rankings are unacceptable.

Neither Friedman or I are driven to bash the United States.  Instead, he and I both are motivated by a desire for exceptionalism across all these measures.  Friedman makes recommendations about how we as a people, and a nation, could improve on all these important variables.   The subtitle of his book is How to Regain America’s Competitive Edge And Boost Our Global Standing.  The problem is one of over-confidence and unquestioning nationalism.  To boldly contend that America is exceptional in every way is both unsubstantiated and untrue.  How I wish it was otherwise.

It is time to step back, look deeply at these issues, accept the reality that we can do better, and then devote our efforts to making it so.  We are arguably the richest and most powerful nation in the world with a vast capability for excellence.  It comes down to priorities and hubris.  If “we the people” demand excellence in these areas, and stand-up and make our voices heard, politicians will have to respond.  If however, we bombastically proclaim “We’re #1” regardless of what the evidence suggests, we will continue to languish.   Should not the measure of a nation, with such capabilities,  be the best?

Spread the word, get and read Friedman’s book.  Let’s start changing the dialogue in this country away from the current divisive and unproductive rancor, and begin focusing on what really matters.  It starts with knowledge and it ends with a healthier, safer, smarter, and more fulfilled populace whose politicians truly represent them and actually address important issues.

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For other discussions and data points on US rankings relative to other nations see:

We’re # 37! USA! USA! USA! A look at the US Healthcare System

A 2010 US Department of Education report releasing the 2009 Program for International Student Assessment (PISA) scores indicated that 15-year-old students from the US scored in the average range in reading and science, but below average in math.

Happiness as Measured By GDP: Really?

There is no doubt that violent crime in the US is a major problem.  Murder is certainly not a uniquely American act, but as in other things, we Americans excel at it.  The U.S. murder rate is nearly three times the rate that it is in Canada and more than four times the rate that it is in the United Kingdom.

It is widely believed that as a society, we are heavily burdened by freeloaders who are content with living off the fruits of others’ labor. Inherent in this belief is the idea that the poor are more likely to be cheaters. This notion is core to the ideology that fuels the discontent of many on the conservative end of the political spectrum. I have recently written about cheating behavior in general, and how pervasive it is, particularly at the upper end of the economic spectrum. I have also written about corporate and white-collar crime and the egregious costs we all bare as a result of misconduct among the nation’s economic elite. When I sat down to write each of those two previous articles, my intent was to write something about a recent peer-reviewed paper that looked empirically at the relationship between cheating behavior and income level. The evidence substantiated in this series of studies challenges the belief that poor people are more inclined to cheat. In fact, the results turn this misconception upside down.

In this very interesting 2012 paper titled: Higher Social Class Predicts Increased Unethical Behavior, published in the Proceedings of the National Academy of Sciences (PNAS), the authors, Paul Piff, Daniel Stancato, Stephanie Côté, Rodolfo Mendoza-Denton, and Dacher Keltner empirically examine the relationship between relative wealth, propensity to engage in unethical behavior, and attitude about greed. Piff, et al. reviewed the relevant literature and hypothesized, based on a landslide of evidence, that affluent people, relative to low income people, will be more likely to engage in and condone unethical behavior and value greed. In their review of the literature they note that:

“Abundant resources and elevated rank allow upper-class individuals increased freedom and independence, giving rise to self-focused patterns of social cognition and behavior. Relative to lower-class individuals, upper-class individuals have been shown to be less cognizant of others and worse at identifying the emotions that others feel. Furthermore, upper-class individuals are more disengaged during social interactions — for example, checking their cell phones or doodling on a questionnaire — compared with their lower-class peers. Individuals from upper-class backgrounds are also less generous and altruistic. In one study, upper-class individuals proved more selfish in an economic game, keeping significantly more laboratory credits — which they believed would later be exchanged for cash — than did lower-class participants, who shared more of their credits with a stranger. These results parallel nationwide survey data showing that upper-class households donate a smaller proportion of their incomes to charity than do lower-class households. These findings suggest that upper-class individuals are particularly likely to value their own welfare over the welfare of others and, thus, may hold more positive attitudes toward greed.”

To test their hypotheses, these investigators devised seven studies to look at these relationships across a variety of contexts. Research subjects included more than 1,000 people from all walks of life. Studies 1 and 2 were naturalistic field studies whereby “Observers stood near the intersection, coded the status of approaching vehicles, and recorded [1] whether the driver cut off other vehicles by crossing the intersection before waiting their turn” and [2] “whether upper-class drivers are more likely to cut off pedestrians at a crosswalk.” Affluence was calibrated based on the make, age, and appearance of the vehicles driven – because vehicles have been established as a reliable indicator of a person’s “social rank and wealth.” People driving expensive (premium brands such as BMW, Lexus, Mercedes-Benz, etc.), late model (newish), and well cared for automobiles were deemed to be affluent – while those driving older, less expensive (i.e., Chevy, Dodge, etc.), and more poorly maintained automobiles, were deemed to be low income individuals.

Study 3 directly assessed the participant’s relative level of affluence and their subsequent proclivity toward a variety of unethical decisions (e.g., “participants read eight different scenarios that implicated an actor in unrightfully taking or benefiting from something, and reported the likelihood that they would engage in the behavior described“). Study 4 literally assessed whether there was a correlation between affluence and the willingness to take candy from a jar purportedly for children participating in a different study. Study 5 assessed the relationship between affluence and honesty in a role play involving a hypothetical scenario where participants were asked to engage in negotiations with a job candidate looking for long-term employment. The participants were told that the job they were filling was likely to be eliminated, and their honesty about sharing the instability of the job with applicants was assessed. Study 6 looked at actual cheating behavior on a game of chance “in which the computer presented them with one side of a six-sided die, ostensibly randomly, on five separate rolls. Participants were told that higher rolls would increase their chances of winning a cash prize and were asked to report their total score at the end of the game. In fact, die rolls were predetermined to sum up to 12. The extent to which participants reported a total exceeding 12 served as a direct behavioral measure of cheating.” The tendency to cheat on this game was also assessed as a function of affluence.

In each of these first six studies, the findings suggest that upper-income people, relative to low-income people, were statistically more likely to: (Study 1) cut off other drivers, (Study 2) disregard people in crosswalks, (Study 3) condone and report a likelihood to engage in similar unethical conduct, (Study 4) take candy from children, (Study 5) be dishonest in the role of hiring someone regarding the permanence of the position, and (Study 6) cheat on a game of chance. In addition, in studies 5 and 6, people of greater wealth were more likely to favor and value greed relative to their less affluent compatriots.

Study 7 was a bit more complicated and assessed the degree to which attitudes toward greed were responsive to pro-cheating priming. Individuals from across both high and low income groups were assigned to one of two conditions: (a) a greed neutral activity (listing three things they did that day), or (b) pro-greed priming (an activity where they were asked to list several positive attributes of greed). Participants were assessed regarding their attitude toward greed and self-reported propensity to engage in unethical behavior at work. Regardless of level of affluence, those exposed to pro-greed priming were more likely to engage in unethical behavior. Attitude about greed seems to play a crucial role in driving ethical behavior. The authors note that: “… upper-class individuals’ more favorable attitudes toward greed can help explain their propensity toward unethical behavior.” They also assert that throughout their lives, richer people are more likely to be educated and primed to be assertive with regard to accomplishing their own goals. Poorer people generally have negative feelings about greed and are thus less likely to behave unethically.

In these naturalistic and laboratory studies, affluent individuals were more likely to cheat or act unethically than were poor people, and to have positive feelings about greed. These results generalized across self-reported measures of affluence as well as objective measures. The implications of these findings are not to suggest that affluent people, as a whole, are unethical and greedy – nor does it suggest that the poor are uniformly ethical and less greedy. The bottom-line here is that relative to poor people, affluent people have a greater likelihood of engaging in unethical behavior and endorsing greed. These conclusions contrast a popular misconception about the poor and expand how we should think about cheating behavior in general.

It is important to note that this study will need replication in order to become firmly established; however, these findings are unidirectional and unambiguous. They are also consistent with what has been verified in the literature to date. Although there are examples of extraordinary philanthropy by affluent people such as Warren Buffet and Bill Gates, there are many other examples of systematic corruption and crime among the economic elite. On the other end of the spectrum there are those poor individuals who proudly game the system in such a way to take more than they contribute. I hear stories of such individuals with such regularity that these narratives take on the feel of urban legend. I routinely work with hard working individuals from the lowest end of the economic spectrum and in my more than 20 years of exposure to this population, I have only come across one family that fits this description. Meanwhile, my professional colleagues have to devote huge amounts of time to documenting Early Intervention and Preschool Services as a result of Medicaid Fraud perpetrated by affluent and unethical service providers who bill for services never rendered. In other words, my extensive personal anecdotes align with the findings of this series of studies.

It seems to me that it is indeed time to challenge the meme that poor people are lazy, freeloading, cheaters. At the same time it seems prudent to open our eyes to the misconduct of the affluent. The evidence certainly supports such a conclusion. This brings to mind a quote by John Adams:

“Facts are stubborn things; and whatever may be our wishes, our inclinations, or the dictates of our passion, they cannot alter the state of facts and evidence.”

Reference:

Piff, P. K., Stancato, D. M., Côté, S., Mendoza-Denton, R., & Keltner, D. (2012). Higher social class predicts increased unethical behavior. Proceedings of the National Academy of Sciences (PNAS).

Nobody likes a cheater.  Such acts may stir deep feelings of loathing that erode trust and have ruinous consequences with regard to reputation and relationship.  It’s one of those things that is hard to overcome.  I’m not just talking about infidelity here.  I’m referring to a broader type that does include infidelity, but also includes things like pilfering, speeding, lying about one’s age, and other forms of dishonesty that benefit you at a cost to someone else.  Irrespective of the potential social costs, most people, given the opportunity, with little threat of detection, will and DO cheat.  Be honest with yourself here.  This shouldn’t be surprising.  What is surprising is the fact that altruism, or selflessness, the behavioral opposite of cheating, exists at all.

By virtue of the fact that human beings are the product of millions of years of evolution by means of natural selection, we are imbued with a selfishness that is hard to deny.   As distasteful as this may be, it is nonetheless true.  We are compelled by our selfish genes to survive, thrive, and replicate.  Within this context, cheating and selfishness make perfect sense and altruism makes little.  Yet we do exhibit altruism.  Why is this?  Steven Pinker wrote in How the Mind Works (1997, p 337):

Natural selection does not select public-mindedness; a selfish mutant would quickly out reproduce its altruistic competitors.  Any selfless behavior in the natural world needs a special explanation.  One explanation is reciprocation: a creature can extend help in return for help expected in the future.  But favor-trading is always vulnerable to cheaters.  For it to have evolved, it must be accompanied by a cognitive apparatus that remembers who has taken and ensures that they give in return.  The evolutionary biologist Robert Trivers had predicted that humans, the most conspicuous altruists in the animal kingdom, should have evolved a hypertrophied cheater-detection algorithm.

And indeed we have – this cognitive algorithm drives the emotional response we have toward cheaters.  Human beings are one of the few species that engage in altruism outside of their kin.  This is referred to as Reciprocal Altruism and clear links have been established between the demands of this type of social exchange and the origins of many human emotions (e.g., liking, anger, gratitude, sympathy, and guilt).  Pinker (1997) notes that “Collectively they make up a large part of the moral sense.”  We are inclined to engage in reciprocal altruism because we have the cognitive capacity to compute cost benefit analyses and the emotional capacity to respond in ways to encourage gains and discourage losses.  We have to be able to remember favors given and received and we must effectively calibrate reciprocation.  It is a delicate and intricate dance that if kept in balance does result in both individual and group benefits.

When benefits or favors are traded, both parties profit as long as the value of what they receive is greater than the value of what they give up.  Because most favors are not exchanged at the same time and they likely vary in degree of effort and value, a calculus is needed to keep the exchange in reciprocal balance.  This balance can tip in either direction and people “remember past treacheries or good turns and play accordingly.  They can feel sympathetic and extend good will,  feel aggrieved and seek revenge,  feel grateful and return a favor, or feel remorseful and make amends.”  (Pinker, 1997 p. 503).

It is important to note that there is a different calculus, a more flexible and enduring one that plays out in friendships and kin based, as well as intimate relationships.  “Tit-for-tat does not cement a friendship; it strains it.  Nothing can be more awkward for good friends than a business transaction between them, like the sale of a car.  The same is true for one’s best friend in life, a spouse.  The couples who keep close track of what each other has done for the other are the couples who are the least happy.” (Pinker, 1997 p. 507).  Healthy close relationships come with a feeling of indebtedness and spontaneous pleasure associated with contribution instead of anticipation of in-kind repayment.  This is true to a point however, and if one person takes too much, without giving back, the relationship is likely doomed.  In such healthy relationships, there tends to be compassionate and enduring love, free of ledgers, time cards, and cash register receipts.

So, we are hyper-vigilant cheater detectors, and our scrutiny of others’ cheating behavior varies based on a number of variables.  Certainly kinship and friendship play a part in our perception.  But in addition to what we understand about reciprocal altruism and cheating, we also know that our cheater detectors tend to be finely focused on people who are different from us.  Those outside our identified social groups (tribal moral communities) are scrutinized much more closely than those inside our circles – and they are examined with much more resolution than we direct toward our own conduct and toward those in the in-group.

This inclination is a byproduct of the universal and innate tendencies to be much more forgiving toward one’s own mistakes and more judgmental towards others’ transgressions.  This is the self-serving bias.  We also have a tendency to see exactly what we expect to see and miss or ignore things that don’t fit within our expectations.  These tendencies are explained by our inclinations toward confirmation bias and inattentional blindness.   Finally, there is the fundamental attribution error which leads us to blame others’ transgression on their internal personal attributes while we ignore important and contributing external environmental circumstances.

That is a lot to take in, but suffice it to say that we are much more likely to give ourselves and those similar to us, a break when it comes to cheating.  We are much less forgiving toward outsiders, particularly those that seem to hold different values, norms, or customs.  This is even true within a society where there is, to a substantial extent, social cohesion; but, where differences exist with regard to beliefs or ideologies.  These truths are self evident – just look at the rancor between Liberals and Conservatives in the United States.  But it also helps explain the racial and ethnic tensions within and across this country toward Hispanics, African Americans, Muslims, and particularly, the poor.

Currently, much blame for this country’s financial woes has been heaped onto the poor due to “entitlement spending.”  These recipients of social safety net spending are often defined as cheaters and freeloaders.  There is no doubt that there is, and shall forever be, a small contingent of citizens who are completely comfortable with getting a free ride.  It would be foolish to argue otherwise.  This is a legitimate problem.

On the other hand, I suggest that we must be willing to acknowledge the prevalence of cheating across the economic spectrum and refocus our microscope on the costs of cheating by corporations, white collar criminals, and those whom we tend to give a pass because they are similar to us.  In my previous article, Crime & Punishment and Entitlements: A Deeper Perspective, I discussed the egregious costs of our prejudicial criminal justice system and the entitlement mentality rampant in corporations and those at the upper end of the economic spectrum.  I submitted that article with the intent of opening eyes to the wider hypocrisy that pervades this country and the erroneously sharpened focus on a small fraction of our fellow “freeloading” countrymen.  If you believe that the infamous 47% of Americans are truly freeloaders, I suggest that you take an objective look at the data from that group (from FactCheck.org):

• 22 percent [or around 47% of the 47%] receive senior tax benefits — the extra standard deduction for seniors, the exclusion of a portion of Social Security benefits, and the credit for seniors. Most of them are older people on Social Security whose adjusted gross income is less than $25,000.
• 15.2 percent [or 32% of the 47%] receive tax credits for children and the working poor. That includes the child tax credit and the earned income tax credit. The child tax credit was enacted under Democratic President Bill Clinton, but it doubled under Republican President George W. Bush. The earned income tax credit was enacted under Republican President Gerald Ford, and was expanded under presidents of both parties. Republican President Ronald Reagan once praised it as “one of the best antipoverty programs this country’s ever seen.” As a result of various tax expenditures, about two thirds of households with children making between $40,000 and $50,000 owed no federal income taxes.
• The rest [21% of the 47%] ended up owing no federal income tax due to various tax expenditures such as education credits, itemized deductions or reduced rates on capital gains and dividends. Most of this group are in the middle to upper income brackets. In fact, the TPC [Tax Policy Center] estimates there are about 7,000 families and individuals who earn $1 million a year or more and still pay no federal income tax.

According to the US Federal Budget, in 2012 we spent about $187 billion on traditional welfare programs (e.g., food and housing supplementation and Temporary Assistance for Needy Families), accounting for 5% of the total $3.7 trillion budget.   An additional $333 billion (or 8.9% of the budget) was spent on Medicaid (healthcare for the poor and disabled).  In total about fourteen cents (14¢) of every tax dollar you pay goes to the poor.

For relative comparison, in 2012, $925.2 billion (or 25% of the 2012 budget or 25¢ of every tax dollar) went to defense, $805.6 billion (21.6% or about 22¢ of every tax dollar) went out in Social Security income for seniors citizens, $492.3 billion (13.2% or 13¢ of each tax dollar) went to Medicare (healthcare for our seniors), and $121.1 billion (3.2% or 3¢) went toward education.  The remaining expenses include unemployment, building roads and bridges, government operating costs, public safety, government supported research, interest payments, and so on.

For further comparison, according to a report from the Conservative think tank The Cato Institute, in 2006 $92 billion (3.5% of the 2006 budget or about 4¢ of every tax dollar) went to corporate subsidies.  This “Corporate Welfare” was defined by Cato as “any federal spending program that provides payments or unique benefits and advantages to specific companies or industries.”   Cato indicated that corporations such as “Boeing, Xerox, IBM, Motorola, Dow Chemical, General Electric and others” were recipients of your tax dollars and Cato further noted that such companies “have received millions in taxpayer-funded benefits through programs like the Advanced Technology Program and the Export-Import Bank.”  Additionally, it should be noted, that between 2002 and 2008, tax breaks totaling $53.9 billion and $16.3 billion in direct spending for a total of $70.2 billion were directed to companies in the fossil fuel industries (e.g, Exxon-Mobile, Shell, Chevron).

Source: http://awesome.good.is/transparency/web/1012/subsidize-this/flat.html

Clearly that 14¢ of every tax dollar has triggered much contempt in a significant proportion of our population.  Many outspoken Conservative and Tea Party folks heavily focus on the this portion of the budget and the “entitled” individuals who allegedly, willingly and lazily, live off your hard earned money.  We must acknowledge that these angered individuals are endowed with this tendency as a natural result of our altruistic tendencies and our subsequent finely tuned cheater detection neural software.  And I submit, that this software has been hijacked or perhaps even hacked by the those whose gains are ignored as long as you focus your anger at the poor.  It serves the very specific financial and security interests of the wealthy when Americans direct such anger toward those at the bottom of the spectrum rather than those at the top.  Next time you come across an economic “freeloader” I challenge you to really think about the cheating that occurs across the spectrum, and ask yourself whether there is a chance that your anger has been manipulated and perhaps even misdirected.  Coming together on this issue will likely result in more targeted and effectual reforms that will benefit us all.  The splinters that currently exist keep our collective eyes off the ball.  The result is an ever widening disparity between the wealthiest 1% and the rest of us.

The true costs of crime are difficult to calculate.  Different types of crimes inflict substantially varying societal costs.  Violent crimes alone cost Americans about $50 billion dollars a year according to a report from the Center for American Progress.¹  It is estimated that the costs of pain and suffering borne by the victims of violence are several times higher than this $50 billion figure.¹

There is no doubt that violent crime in the US is a major problem.  Murder is certainly not a uniquely American act, but as in other things, we Americans excel at it.  The U.S. murder rate is nearly three times the rate that it is in Canada and more than four times the rate that it is in the United Kingdom.¹  And although violent crime captures our attention and makes us fear one another, its relative economic impact is perhaps one half the cost of so called “White-Collar” crimes committed by our affluent brethren.   Federal Bureau of Investigation (FBI) estimates of white-collar crime come in at $300 billion dollars a year.²  Bernie Madoff’s Ponzi Scheme alone was estimated to cost his investors somewhere in the range of $50 billion dollars.³  And what was the cost to the American Taxpayers for the 2008 Financial Crisis?  An article in Bloomberg Businessweek tallies the total costs to American taxpayers at $12.8 trillion.  What portion of that cost could be attributed to white-collar crime?

Granted, the crisis was caused by numerous factors including pressures in the 1990s on Fannie Mae and Freddie Mac from Clinton Administration officials to increase national home ownership rates,⁴ as well as the 1999 repeal of the Glass-Steagall Act (eliminating banking barriers allowing banks to be both investment and depository banks).  But opaquely risky mortgage-backed securities (MBSs) and collateralized debt obligations (CDOs) were sold around the world with little understanding of the associated risks.  These CDOs and MBSs essentially bundled bad debts in the form of subprime mortgages that were sold to people for homes that they could not afford.  Then the housing bubble burst and upwards of 27 million mortgages⁵ had been issued for homes whose values were well below the debt obligation and ballooning payments forced many Americans to default.  This perfect storm of contributing factors was a product of greed, deregulation, lack of understanding of risk due to the complex nature of financial derivatives, and so on.  But it was also, as seems evident today, a product of criminal behavior.  In a 2010 New York Times article by Peter Henning it was reported that:

 

At a hearing before the Senate Judiciary Committee last week, Senator Ted Kaufman of Delaware summed up the frustration on Capitol Hill with the lack of any identifiable villains for the financial troubles of the last two years. “We have seen very little in the way of senior officer or boardroom-level prosecutions of the people on Wall Street who brought this country to the brink of financial ruin,” Mr. Kaufman said. “Why is that?”

 

Judge Ellen Segal Huvelle of the Federal District Court in Washington expressed similar frustration with the settlement between the Securities and Exchange Commission and Citigroup over the bank’s misstatements in 2007 regarding its exposure to subprime mortgage-backed securities. In its complaint, the S.E.C. refers repeatedly to “senior management” receiving information about increased losses in its portfolio from problems with subprime mortgages, but none were named in its complaint.

The United State’s prisons are filled with “criminals” because politicians have to take a “tough on crime” stand in order to get elected by their constituents, us; however, we must take a closer look at who in particular resides in our prisons and assess to what degree these white collar and corporate criminals are actually held to account.

According to a report from the U.S. Bureau of Justice Statistics (BJS), at years end in 2011 over 6,977,700 adults were under correctional supervision or in jail or in prison.   About 4,814,200 offenders were supervised in the community on probation or parole.   About 2,239,800 were incarcerated in state or federal prisons or local jails.   According to a report from the Office of Juvenile Justice and Delinquency Prevention in 2010, just under 71,000 juvenile offenders were held in residential placement facilities. These are big numbers, but let’s put them in relative terms.  From a recent BJS Report:

• About 2.9% of adults in the U.S. (or 1 in every 34 adults) were under some form of correctional supervision at year end 2011, a rate comparable to 1998 (1 in every 34).
• About 1 in every 107 adults was incarcerated in prison or jail.

How does this compare to other nations?  Our incarceration rates far outpace any other modern industrial nation and are only comparable to the pre World War II rates in the Soviet Union’s Gulag system.  From the National Council on Crime and Delinquency Fact Sheet (2006):

• The US rate of incarceration is the highest in the world.
• The US has less than 5% of the world’s population but over 23% of the worlds incarcerated people. 
• Compared to the world’s other most populous countries, the 2.2 million people currently incarcerated in the US is 153% higher than Russia, 505% higher than Brazil, 550% higher than India, and over 2,000% higher than Indonesia, Bangladesh, or Nigeria (ICPS, 2006). 

According to a breakdown of the Federal and State Prisoner Population from ProCon.org, in 2008 violent criminals accounted for about 47% of the total State and Federal Prison Population, while drug offenders constituted 22%, property thieves made up 17%, drunk drivers, immigration offenders, and other public order offenders accounted for 12%, and juveniles and other unspecified offenders made up the remaining 1%.  These numbers were derived from the U.S. Bureau of Justice Statistics.  There is no category for white-collar crime; although, within the property crime statistics, at the Federal level, there is a category listed as fraud. But even in these Federal Prisons, the number of people convicted of fraud is a fraction of 6%, or well under 11,000 Federal Penitentiary inhabitants.

Now let’s look at incarceration rates by race and ethnicity.  Again from the Bureau of Justice Statistics, in 2010, White males were incarcerated at the rate of 678 inmates per 100,000 U.S. residents of the same race and gender.  Using the same relative comparison groups, Hispanic males were incarcerated at the rate of 1,755 inmates per 100,000 Hispanic males and black (non-Hispanic) males were incarcerated at the rate of 4,347 inmates per 100,000 black males.  African Americans (13% of the US Population) make up about 40% of the prison population and Hispanics (16.7% of the US Population) account for about 20% according to 2010 US Census Data.  These rates are hugely disproportionate.  Let’s contrast this data to the following information on white-collar crime from the U.S. Department of Justice,  Federal Bureau of Investigation, Criminal Justice Information Services (CJIS) Division:

 

The [National Incident Based Reporting System] (NIBRS) data for 1997 through 1999 show white-collar crime offenders are, on average, in their late-twenties to early-thirties, which is only slightly older than most other offenders captured in NIBRS. The majority of white-collar crime offenders are white males, except for those who committed embezzlement. However, in comparison to offenders committing property crimes, there is a higher proportion of females committing these white-collar offenses.

 

…much of the investigation and regulation of corporate white-collar crime is left to regulatory agencies and professional associations (American Medical Association, American Bar Association, etc.) and not to the police or other law enforcement agencies. White-collar offenses, in these cases, probably will be reported to the [Unifrom Crime Reports] (UCR) Program only if criminal charges are filed, which is extremely rare in instances of corporate crime. Corporate crime is usually handled within the regulatory agency (sanctions, cease-and-desist orders, etc.), or corporations are made the subject of civil cases.

A quote from Noam Chomsky seems appropriate here:

 

“For the powerful, crimes are those that others commit.”

 

So, is it that Corporate Crime and other forms of white-collar crime fall largely outside the scope of the law?  Not entirely.  Individuals like Bernie Madoff, whose crimes cost his wealthy customers a great deal, are in prison.  But what about Corporate criminals?  Here is a case in point recently reported by Christina Rexrode and Larry Neumeister in the Associated Press, where corporate criminals are seemingly given a GET OUT OF JAIL FREE card.

 

When the Justice Department announced its record $1.9 billion settlement against British bank HSBC last week, prosecutors called it a powerful blow to a dysfunctional institution accused of laundering money for Iran, Libya and Mexico’s murderous drug cartels.

 

But to some former federal prosecutors, it was only the latest case of the government stopping short of bringing criminal money laundering charges against a big bank or its executives, at least in part on the rationale that such prosecutions could be devastating enough to cause such banks to fail.

 

They say it sounds a lot like the “too big to fail” meme that kept big but sickly banks alive on the support of taxpayer-funded bailouts. In these cases, they call it, “Too big to jail.”

Something seems askew here.  These disproportionate incarceration rates go hand in glove with the prejudice directed toward the poor and non-whites in our communities.  How is it that American’s give corporate criminals a pass and at the same time celebrate liberty and freedom while incarcerating the poor and our minority citizens at rates that typify the Soviet Gulag?  This all drips of palpable hypocrisy.  The economic costs alone seem to justify a colossal reorganization of our priorities.

As Conservatives and Liberals battle contentiously over important issues, it seems to me that the vitriolic banter just keeps the American eye off the factors that truly harm us.  A couple points are clear to me.  First, as long as corporations have legal rights as individuals, but limited accountability, and secondly, as long as money equates to political power, things will not change.  As we bicker over ideological perspectives that define the political poles, and as Americans direct blame and scorn toward the people at the lowest end of the economic spectrum, we miss the true essence of who is entitled and who is TRULY destroying this great nation.

Footnotes:

1. Shapiro, R. J., and Hassett, K. A., (2012).   The Economic Benefits of Reducing Violent Crime: A Case Study of 8 American Cities.  Center for American Progress.

2. Cornell Law School. White Collar Crime

3. Lenzner, R. (2008).   Bernie Madoff’s $50 Billion Ponzi Scheme. Forbes.com

4. Holmes, Steven A. (September 30, 1999). “Fannie Mae Eases Credit To Aid Mortgage Lending”. The New York Times

5. Wallison, P. (2011).  The True Story of the Financial Crisis.  The American Spectator: spectator.org

Although I did not make a substantial number of posts in 2012, the traffic to my site doubled.  Throughout 2012 my blog had 35,819 hits from 31,960 unique visitors, accounting for over 46,720 page views.  I had visitors from every state in the US and visits from people from 165 nations around the world.  Visitors from the United States accounted for the vast majority of those hits, but the UK, Canada, India, and Australia also brought in large contingents.

This year the top ranked article was my 2011 post on Conspicuous Consumption and the Peacock’s Tail, which accounted for 50% more hits than this year’s number two ranked article (Brainwaves and Other Brain Measures – the number one post from last year).  The piece on conspicuous consumption, is in my opinion, one of my all time most important pieces.  It addresses our inherent drive to advance one’s social standing while actually going nowhere on the hedonic treadmill.  It delves into the environmental costs of buying into the illusion of consumer materialism and its biological origins (the signaling instinct much like that of the Peacock). The Brainwave piece, also from 2011, compares and contrasts the different measures used to peer into the workings of the brain.

Of my posts published in 2012, only two made it to this year’s top ten list: five were from 2010 and three were published in 2011.  Of those eight from previous years, five were also on the top ten list last year.

My 2012 review and discussion of the Broadway Musical Wicked topped the list of posts actually written in 2012, but it came in third overall this year relative to all other posts.  This article explores the theme that “things are not as they seem.”  I relate the story told in the show to the political and historical manipulation American citizens are subjected to, and it stirs up unpleasant and inconvenient realities that many would prefer remain unknown.

Great interest persists in my post entitled Nonmoral Nature: It is what it is.  This review of Stephen Jay Gould’s most famous article received a number four ranking, down from a number two ranking over the last two years.  I had also reviewed in 2010 a very popular New York Time’s article by Steven Pinker entitled The Moral Instinct.  This article moved down two notches this year, ultimately ranking number five.  My critical article on the Implicit Associations Test ranked number six this year, versus a number four ranking last year.  My 2011 post Where Does Prejudice Come From? ranked number seven this year, down two spots from its ranking in 2011.  One of my all time favorite posts from 2010, Emotion vs. Reason: And the Winner is?  returned to the top ten list this year coming in eighth.   In 2010 it ranked number ten, but it fell off the list last year.  My Hedgehog versus the Fox mindset piece ranked number nine this year, compared to a number ten ranking last year.  Finally, in the number ten slot this year,  is my 2012 article Happiness as Measured by GDP: Really?  This post was perhaps the most important post of the year.

So here is the Top Ten list for 2012.

1. Conspicuous Consumption and the Peacock’s Tail (2011)
2. Brainwaves and Other Brain Measures (2011)
3. Wicked! Things are NOT as they Seem (2012)
4. Non Moral Nature: It is what it is (2010)
5. Moral Instinct  (2010)
6. IAT: Questions of Reliability and Validity  (2010)
7. Where Does Prejudice Come From?  (2011)
8. Emotion vs. Reason: And the Winner is? (2010)
9. Are you a Hedgehog or a Fox?  (2010)
10. Happiness as Measured by GDP: Really? (2012)

Again this year, the top ten articles represent the foundational issues that have driven me in my quest to understand how people think.   This cross section of my work is, in fact, a good starting point for those who are new to my blog.  There are several other 2012 posts that ranked outside the top ten; regardless, I believe they are important.  These other posts include:

• So Your Partner Drives You Crazy? You’re Not Alone. Here’s Why
• Freud: In Some Ways He Was Right
• The Meek Shall Inherit The Earth

This latter article, The Meek Shall Inherit The Earth, pertains to the microbiome, the collection of an estimated 100 trillion individual organisms thriving in and on your body that account for about three pounds of your total body weight (about the same weight as your brain).  These little creatures play a huge role in your physical and mental well being and we are just beginning to understand the extent of their reach.  Modern medicine in the future, will likely embrace the microbiome as a means of preventing and treating many illnesses (including treating some mental illnesses).

Although, not among the most popular articles this year, my pieces on the pernicious affects of poverty on child development from 2011 warrant ongoing attention.  If we truly wish to halt the cycle of poverty, then we need to devote early and evidenced based intervention services for children and families living in poverty.  As it turns out, poverty is a neurotoxin.  Knowing the information in this series should motivate us, as a society, to truly evaluate our current political and economic policies.

• Parenting May Matter: For Infants and the Economically Deprived  

• The Effects of Poverty on Brain Development  

• The Economic, Neurobiological, and Behavioral Implications of Poverty  

• Halting the negative Feedback Loop of Poverty  

• Poverty Preventing Preschools  

• Poverty is a Neurotoxin  

The bottom line:

The human brain, no matter how remarkable, is flawed in two fundamental ways.  First, the proclivities toward patternicity (pareidolia), hyperactive agency detection, and superstition, although once adaptive mechanisms, now lead to many errors of thought.  Since the age of enlightenment, when human kind developed the scientific method, we have exponentially expanded our knowledge base regarding the workings of the world and the universe.  These leaps of knowledge have rendered those error prone proclivities unessential for survival.  Regardless, they have remained a dominant cognitive force.  Although our intuition and rapid cognitions have sustained us, and in some ways still do, the subsequent everyday illusions impede us in important ways.

Secondly, we are prone to a multitude of cognitive biases that diminish and narrow our capacity to truly understand the world. Time after time I have written of the dangers of ideology with regard to its capacity to blindfold its disciples.  Often those blindfolds are absolutely essential to sustain the ideology.  And this is dangerous when truths and facts are denied or innocents are subjugated or brutalized.  As I discussed in Spinoza’s Conjecture:

 

“We all look at the world through our personal lenses of experience.  Our experiences shape our understanding of the world, and ultimately our understanding of [it], then filters what we take in.  The end result is that we may reject or ignore new and important information simply because it does not conform to our previously held beliefs.

Because of these innate tendencies, we must make additional effort to step away from what we believe to be true in order to discover the truth.

Citizens of the United States are endowed with certain unalienable rights: one of which is the right to pursue happiness.  Governments generally need to attend to the common level of happiness of its citizens in order to sustain power.  As evidenced by the Arab Spring, unhappy people have the capability to overthrow ineffectual governments.  As it turns out, the way politicians and economists presume to measure happiness is through a statistical measure called the Gross Domestic Product (GDP).  Let’s take a closer look at GDP and ponder the questions as to whether it is, in fact, an appropriate measure with regard to overall happiness.

Following World War II, a metric called the Gross National Product (GNP) was adopted as the key indicator of a nation’s economic growth.  Eventually GDP replaced GNP and it acquired broader meaning as a proxy of individual well-being (happiness).  But what does GDP really measure?  GDP as defined by InvestorWords.com is:

The total market value of all final goods and services produced in a country in a given year, equal to total consumer investment and government spending, plus the value of exports, minus the value of imports.

GDP is the measure we look at to determine whether our economy is growing, in recession, or in depression.  This makes sense.   But the deeper fundamental belief is that GDP equates to personal wealth, and that the more personal wealth individuals posses, the happier they will be.  Our economy grows when people have money and spend it.  The bottom line assumption here is that money buys happiness.

Since developed nations have strategically attended to this measure, GDP has skyrocketed.  Concurrently, there have been unequivocal rises in living standards and wealth.  The United States has done relatively well in this regard.   But you might be surprised to know that according to a CIA website, the US ranks 12th in the world on a measure of GDP per capita adjusted for purchasing power parity (PPP) behind countries like Qatar, Luxembourg, Norway, Singapore, Hong Kong, and Brunei.

In poor nations where GDP is very low, quality of life and subjective measures of happiness are indeed low.  As GDP increases, there is a correlated increase in both quality of life and happiness.  But that relationship holds up, only to a certain point, and then it falls apart.  For example, in developed Western Democracies such as the United States, UK, and Germany, since the 1970’s, GDP has grown, but on a variety of measures, the happiness of its citizens has stagnated or declined.  See the chart below from James Gustave Speth’s book The Bridge at the Edge of the World.

Average Income and Happiness in the USA

As it turns out, when a nation’s GDP rises above $10,000.00 per capita there is no relationship between GDP and happiness.  For a reference point, in the United States our GDP per capita rose above this $10k point in the 1960s and is currently around $50k per capita.  The reality is that despite a five-fold increase in personal wealth, people as a whole, are no more happy today than they were in the 1970s.  This suggests a fundamental flaw in the thinking of our policy makers.

I am not alone, nor am I first to point out the problem with assuming that GDP equates to citizen happiness.  James Gustave Speth, provides a ground shaking critique of our current political, economic, and environmental policies in his 2008 book The Bridge at the Edge of the World.  This GDP-Happiness issue is a prominent theme in his book and he explores what actually accounts for happiness.  What follows is a summary of Speth’s discussion of this topic.

Research suggests that there are a number of important factors associated with individual happiness.  What is interesting is that the major factors are relativistic, innately internal, as well as social and interpersonal.  Yes, below a certain point, when people are impoverished and struggling to survive, happiness is indeed tied to GDP.  But above that $10K GDP per capita line, these other human factors play a major role.

Let us start with perhaps the most powerful factor associated with happiness, our genes.  It is estimated that about one-half of the variability in happiness is accounted for by our genetic composition.  One’s happiness is much like one’s personality, to a large extent it is written in our DNA.  Some people are just congenitally happier than others.  Some are chronic malcontents no matter what the circumstances provide.  Such proclivities are difficult to over ride.  But the remaining 50% of variance in happiness does seem to be rooted in variables that we can influence.

One’s relative prosperity is a clear variable.  There is an inverse relationship between happiness and one’s neighbors’ wealth.  If you are relatively well-off compared to those around you, you are likely to experience more happiness.  If however, you are surrounded by people doing much better than you, you are likely to experience discontent.  It is more about relative position rather than absolute income.  And as everyone’s income rises, one’s relative position generally remains stable.  So more money does not necessarily equate to more happiness.

Yet another innately human factor that plays out in this happiness paradox is our incredible tendency to quickly habituate to our income and the associated material possessions that it affords.  We seem to have a happiness set point. There may be an initial bump in happiness associated with a raise, a bigger better car, or a new house; however,  we tend to return to that set point of happiness pretty quickly.  We habituate to the higher living standards and quickly take for granted what we have.  We then get a relative look at what’s bigger and better and begin longing for those things.  This is the hedonic treadmill.

Happiness is to a large extent associated with seven factors:

1. Family relationships
2. One’s relative financial situation
3. The meaningfulness of one’s work
4. Ties to one’s community and friends
5. Health
6. Personal freedom
7. Personal values

Speth notes that “except for health and income, they are all concerned with the quality of our relationships.”  We clearly know that people need deeply connected and meaningful social relationships.  Yet we are living increasingly disconnected and transient lifestyles where we relentlessly pursue increasing affluence all the while putting distance between us and what we truly need to be happy.   We are on that hedonic treadmill convinced that happiness comes from material possessions, all the while neglecting the social bonds that truly fulfill us.

Obviously, GDP misses something with regard to happiness.  Speth quotes Psychologist David Meyers who wrote about this American Paradox.  At the beginning of the twenty-first century he observed that Americans found themselves:

“with big houses and broken homes, high incomes and low morale, secured rights and diminished civility.  We were excelling at making a living but too often failing at making a life.  We celebrated our prosperity but yearned for purpose.  We cherished our freedom but longed for connection.  In an age of plenty, we were feeling spiritual hunger.  These facts of life lead us to a startling conclusion: Our becoming better off materially has not made us better off psychologically.”

The reality is that there is a great deal of disillusionment in this country.  And we are falling behind in other areas of significant importance.  Our healthcare systems ranks 37th in the world with regard to life expectancy.  The efforts of our education system finds us loosing touch with the world’s top performers.  A 2010 US Department of Education report releasing the 2009 Program for International Student Assessment (PISA) scores indicated that 15-year-old students from the US scored in the average range in reading and science, but below average in math. Out of the 34 countries in the study, the US ranked 14th in reading, 17th in science and 25th in math.  The US students ranked far behind the highest scoring countries, including South Korea, Finland, Canada, and Singapore, Hong Kong and Shanghai each in China.  Secretary Duncan, at the time of the PISA announcement, said that:

“The hard truth is that other high-performing nations have passed us by during the last two decades…In a highly competitive knowledge economy, maintaining the educational status quo means America’s students are effectively losing ground.”

Although GDP is an important economic measure, many economists and some leaders suggest that we should assess well-being more precisely.  For example, alternatives include the Genuine Progress Index (GPI) that factors into the equation environmental and social costs associated with economic progress.  See the graph below for how we in the US have fared on GPI.

GDP and GPI Growth

This GPI data suggests that since the early seventies there has been a clear divergence between GDP and the well-being of the citizens of the United States.  This GPI line correlates strongly with the relative happiness line over the same time period.

Another effort made with regard to measuring the well-being of the citizens is the Index of Social Health put forward by Marc and Marque-Luisa Miringoff.  They combined 16 measures of social well-being (e.g., infant mortality, poverty, child abuse, high school graduation rates, teenage suicide, drug use, alcoholism, unemployment, average weekly wages, etc.) and found that between 1970 and 2005 there has also been a deteriorating social condition in the United States despite exponential growth in GDP.

The New Economics Foundation in Britain has developed the Happy Planet Index (HPI) that essentially measures how well a nation converts finite natural resources into the well-being of its people.  The longer and happier people live with sustainable practices the higher the HPI.  The United States scores near the bottom of this list.  At the top of the list in the Western Developed nations are countries like Malta, Austria, Switzerland, Italy, Iceland, and the Netherlands (due to long happy lives and lower environmental impact).  At the bottom across all nations are countries like the US, Qatar, UAE, Kuwait (each as a result of atrocious environmental impact) and Rwanda, Angola, Sudan and Niger (due to significantly shortened life spans).

“Right now,” Speth notes, “the reigning policy orientation and mindset hold that the way to address social needs and achieve better, happier lives is to grow – to expand the economy.  Productivity, wages, profits, the stock market, employment, and consumption must all go up.  Growth is good.  So good that it is worth all the costs.  The Ruthless Economy [however] can undermine families, jobs, communities, the environment, a sense of place and continuity, even mental health, [but] in the end, it is said, we’ll somehow be better off.  And we measure growth by calculating GDP at the national level and sales and profits at the company level.  And we get what we measure.”

All this taken together seems to suggest that we would be better off as a citizenry if we radically re-prioritized our economic, social, and environmental policies with increased focus on factors that more closely align with human well-being.   Yet, we continually forge ahead striving unquestionably for economic growth because we believe it will make us better off.  Closer scrutiny suggests that we should broaden our thinking in this regard.  If we were to focus our energies on GPI and/or HPI, like we have on GDP over the last 50 years, just imagine what we could accomplish.

References:

Central Intelligence Agency. The World Fact Book: GDP per capita adjusted for purchasing power parity (PPP).

Guild, G. (2011). We’re Number 37! USA! USA! USA!

Happy Planet Index. NEF

Johnson, J. (2010). International Education Rankings Suggest Reform Can Lift U.S. US Department of Education.

Speth, James Gustave.  (2008).  The Bridge at the Edge of the World. New Haven: Yale University Press.

Mahatma Gandhi once said that Poverty is the worst form of violence.  At the very least it appears to be a neurotoxin.  Evidence continues to build a solid case for the notion that poverty itself is self-propagating and that the mechanism of this replication takes place in the neuro-anatomy of the innocent children reared in environmental deprivation.

In my article titled The Effects of Low SES on Brain Development I review an article that provides clear quantitative data that indicates that children raised in low SES environments have diminished brain activity relative to their more affluent peers.  The impact of low SES on brain activity was so profound that the brains of these poor kids were comparable to individuals who had had actual physical brain damage.  This data gathered through EEG is a non-specific measure that provides no clear understanding of what underlies this diminished functioning.  In other words, it evidences diminished brain activity, but it does not specifically identify what has occurred in the brain that is responsible for these differences.

Jamie Hanson and colleagues from the University of Wisconsin-Madison and Harvard University published a paper titled Association Between Income and the Hippocampus in the peer reviewed on-line journal PLoS ONE that points to one possible culprit.  Their study shows in a measurable way, how poverty actually hinders growth of the hippocampus, a very important brain region associated with learning and memory.

In non-human animal studies, it has been shown that environmental enrichment is associated with “greater dendritic branching and wider dendritic fields; increased astrocyte number and size, and improved synaptic transmission in portions of the hippocampus” (Hanson et. al. 2011).  This essentially means that environmental enrichment enhances the density and functioning capacity of the hippocampus.  In humans, parental nurturance, contact, and environmental stimulation has been associated with improved performance on tasks (long-term memory formation) greatly influenced by the hippocampus. On the flip side, it has also been demonstrated that stress, inadequate environmental nurturance and low stimulation have the opposite affect (thinning hippocapmal density).

Hanson et. al., (2011) hypothesized that hippocampus density would be positively related to gradients in parental income.  Affluent children would evidence more hippocampal density (associated with better learning, memory, emotional control) while their low income counterparts would evidence diminished levels of density.  They used datea from MRI imaging studies to measure the actual hippocampal gray matter density in a large cross section of children (ages 4-18 years old) across the United States.  They also collected data on the income and education level of each participant’s parents.  As a control measure, they also quantified the whole-brain volume and the density of the amygdala, a brain region that does not vary as a function of environmental perturbations or enrichment.   These latter variables were important because they assist in ruling out brain size variation associated with other confounding variables.  They hypothesized that these latter measures would not vary associated with income.

The top left brain slice shows a sagittal brain slice with the hippocampus highlighted in yellow and the amygdala in turquoise, while the top right brain image shows an axial slice (with the hippocampus again highlighted in yellow and the amygdala in turquoise). The bottom left brain picture shows a coronal slice with the amygdala in turquoise and the hippocampus in yellow.

Their measures confirmed each of their hypotheses.  Amygdala and whole brain volume did not vary associated with parental income but hippocampal density did.  Those with parents at the lower end of the income spectrum evidenced lower hippocampal density than those children from more affluent families.  They wrote that “taken together, these findings suggest that differences in the hippocampus, perhaps due to stress tied to growing up in poverty, might partially explain differences in long-term memory, learning, control of endocrine functions, and modulation of emotional behavior” (Hanson, 2011).

The authors carefully noted that this correlation is not necessarily indicative of causation – and that more specific longitudinal measures along with direct measures of cognitive functioning, environmental stress,  and stimulation are necessary to truly understand the association between income and these neurobiological outcomes.  But they also warned that the data set was limited to children unaffected by mental health issues or low intelligence.  As such, the data set likely underestimates the actual hippocampal volume variation because children at the lower end of the income spectrum have disproportionately high levels of these mental health and low intelligence issues.

These results confirm and fit with a growing and already substantial set of findings that implicate poverty as a neurotoxin that causes a self sustaining feedback loop.  Poverty seems to weaken the foundation on which fundamental skills and capabilities are built that ultimately facilitate adaptive functioning and positive societal contributions.  A weak foundation hinders such capacities.

I have previously posted articles titled Halting the Negative Feedback Loop of Poverty: Early Intervention is the Key, Poverty Preventing Preschool Programs: Fade-Out, Grit, and the Rich get Richer, and The Economic, Neurobiological, and Behavioral Implications of Poverty.  In these articles I review various other studies that address this issue, but I also highlight the steps that can be taken to remediate the problem.  There really is not much question about the needed steps we as a society should take.    A recent series of articles published in the UK’s Lancet, drives this point home!

In one particular article, titled Strategies for reducing inequalities and improving developmental outcomes for young children in low-income and middle-income countries, the authors noted that:

“A conservative estimate of the returns to investment in early child development is illustrated by the effects of improving one component, preschool attendance. Achieving enrolment rates of 25% per country in 1 year would result in a benefit of US$10·6 billion and achieving 50% preschool enrolment could have a benefit of more than $33 billion (in terms of the present discounted value of future labour market productivity) with a benefit-to-cost ratio of 17·6. Incorporating improved nutrition and parenting programmes would result in a larger gain.”

The monetary value alone seems sufficient to motivate implementation.  For each dollar spent on quality preschool programs, we ultimately gain up to $17.60 in labor market productivity alone.  This does not account for the decreased expenditures on special education, incarceration, and other social safety net programs.  Quality preschool programing has been shown to increase high school graduation rates and home ownership rates.  If we as a society, are truly driven to promote human flourishing, equal opportunity for all, and a level playing field, then we must, I argue, take action with regard to providing universal access to quality preschool programs particularly for poor children.  What I propose is not a hand-out, but a fiscally responsible hand-up that benefits each and every one of us.

References:

Engle, P., L., Fernald, L. CH., Alderman, H., Behrman, J., O’Gara, C.,  Yousafzai A.,  de Mello M. C., Hidrobo, M.,  Ulkuer, N., Ertem, I., Iltus, S., The Global Child Development Steering Group. (2011).  Strategies for reducing inequalities and improving developmental outcomes for young children in low-income and middle-income countries. The Lancet, Early Online Publication, 23 September 2011. doi:10.1016/S0140-6736(11)60889-1

Hanson, J.L., Chandra, A., Wolfe, B. L., Pollak, S.D., (2011).  Association between Income and the Hippocampus. PLoS ONE 6(5): e18712. doi:10.1371/journal.pone.0018712

Do you believe that economic success is just a matter of having a good work ethic and strong personal motivation?  Most people do.  But in reality this is a perfect example of the Fundamental Attribution Error and the Self Serving Bias.

Attribution Error occurs when we negatively judge the unfortunate circumstances of others as being a reflection of their character traits rather than as a result of environmental circumstances (e.g., growing up in poverty).  What is even more interesting is that when we mess up, we tend to blame it on environmental factors rather than accepting personal responsibility.  When we are successful however, we take credit for the outcome assigning credit to internal personal attributes and devaluing environmental contributors.  This latter error is the Self Serving Bias.

This erroneous thinking is universal, automatic, and it is what drives a wedge between people on different points of the socio-economic spectrum.  If you believe that poor people are impoverished simply because they are lazy free-loaders, you are likely a victim of this thinking error.  The same is true if you believe that your success is completely of your own doing.

I have written numerous articles on the impact of poverty on early childhood development (i.e., The Effects of Low SES on Brain Development) and the bottom line is that economic deprivation weakens the social and neurobiological foundation of children in ways that have life-long implications.  In this post I will summarize a review article by Knudsen, Heckman, Cameron, and Shonkoff entitiled: Economic, Neurobiological, and Behavioral Perspectives on Building America’s Future Workforce.  This 2006 article published in the Proceedings of the National Academy of Sciences provides an excellent review of the research across many fields including developmental psychology, neuroscience, and economics.  It highlights the core concepts that converge with regard to the fact that the quality of early childhood environment is a strong predictor of adult productivity.  The authors point to the evidence that robustly supports the following notions:

1. Genes and environment play out in an interdependent manner. Knudsen et al., (2006) noted that “… the activation of neural circuits by experience also can cause dramatic changes in the genes that are expressed (“turned on”) in specific circuits (58-60). The protein products of these genes can have far reaching effects on the chemistry of neurons and, therefore, on their excitability and architecture.”  Adverse experiences can and do fundamentally alter one’s temperament and capacity to learn throughout life.
2. Essential cognitive skills are built in a hierarchical manner, whereby fundamental skills are laid down in early childhood and these foundational neural pathways serve as a basis upon which important higher level skills are built.
3. Cognitive, linguistic, social, and emotional competencies are interdependent – all nascent in early childhood, when adverse environmental perturbations reek havoc on, and across, each of these fundamental skill sets.
4. There are crucial and time-sensitive windows of opportunity for building these fundamental competencies.  Should one fail to develop these core skills during this crucial early developmental stage, it becomes increasingly unlikely that later remediation will approximate the potential one had, if those skills were developed on schedule.  A cogent analogy here is learning a new language – it is far easier to learn a new language early in development when the language acquisition window is open, than it is later in life when this window is nearly closed.

In my last two posts (Halting the Negative Feedback Loop of Poverty: Early Intervention is the Key and Poverty Preventing Preschool Programs: Fade-Out, Grit, and the Rich get Richer) I discussed two successful early intervention programs (e.g., Perry Preschool Program & Abecedarian Project) that demonstrated positive long-term benefits with regard to numerous important social and cognitive skills. Knudsen, et al, (2006) noted:

“At the oldest ages tested (Perry, 40 yrs; Abecedarian, 21 yrs), individuals scored higher on achievement tests, reached higher levels of education, required less special education, earned higher wages, were more likely to own a home, and were less likely to go on welfare or be incarcerated than individuals from the control groups.”

These findings converge with research on animal analogues investigating the neurodevelopmental impact of early stimulation versus deprivation across species.  Knudsen et al., (2006) point out that:

1. There are indeed cross species negative neurodevelopmental consequences associated with adverse early developmental perturbations.
2. There clearly are time sensitive windows during which failure to develop crucial skills have life-long consequences.  Neural plasticity decreases with age.
3. However, there are time sensitive windows of opportunity during which quality programs and therapies can reverse the consequences of adverse environmental circumstances (i.e., poverty, stress, violence).

Early learning clearly shapes the architecture of the brain.  Appropriate early stimulation fosters neural development, while conversely, impoverished environments diminish adaptive neural stimulation and thus hinders neural development.  Timing is everything it seems.  Although we learn throughout our lifespan, our capacity to learn is built upon a foundation that can be strengthened or impaired by early environmental experiences.  It is very difficult to make up for lost time later in life – much as it is difficult to build a stable building on an inadequate foundation.  Stimulating environments during these crucial early neurodevelopment periods are far more efficient than remediation after the fact.  These realities provide further justification for universally available evidence based early preschool services for children at the lower end of the socio-economic spectrum.  Proactive stimulation fosters stronger and more productive citizens – yet, we continue to respond in a reactive manner with remedial and/or punitive measures that miss the mark.  The necessary proactive response is clear.

References:

Knudsen, E. I., Heckman, J. J., Cameron, J. L., and Shonkoff, J. P. (2006). Economic, neurobiological, and behavioral perspectives on building America’s future workforce.  Proceedings of the National Academy of Sciences.  v. 103, n. 27. 10155-10162.

In my last post, Halting the Negative Feedback Loop of Poverty: Early Intervention is the Key I looked at the evidence from two quality studies of preschool intervention programs that substantiated a capacity to counteract the impairing impact of growing up in economic deprivation.  Both studies,  Perry Preschool Program and the Abecedarian Project demonstrated positive long-term benefits with regard to numerous important social and cognitive skills.  In this post I shall discuss some interesting issues and concepts that underlie the gains made at Perry and Abecedarian, including fade-out, grit, and positive and negative feedback loops.

The issue of fade-out, and its implications, are very important.  In both the Perry and Abecedarian Programs there were substantial positive outcomes with regard to immediate IQ and other cognitive scores.  Once the children entered typical school age programs,  some of their gains, particularly their IQ (which had a 10-15 point boost during treatment) faded away.  This fade-out was strikingly true for the Perry Preschool Program but not so for the Abecedarian Project, which had a substantially more intensive program, involving both longer school days and more school days per year.  See Figure 1 below.

Figure 1

Despite this apparent fade-out, when the recipients of this specialized programing where assessed decades later, they did much better than non-recipients on relative life issues such as high school graduation, four-year college attendance, and home ownership.  These results are encouraging on the one hand, yet puzzling on the other.  Such fade-out renders programs like Head Start vulnerable to those who cherry pick  data in order to advance ideologically driven political agendas.  Regardless, this does raise some important questions.

1. Why do gains in IQ appear to fade-out?
2. What skill gains account for the long-term gains made?

Some prominent researchers (e.g., David Barnett) question whether there is actually any true fade-out at all – suggesting that faulty research design and attrition may better explain these results.  Regardless, IQ is not the sole variable at play here – if anything, this data highlights the questionable validity of the IQ construct itself, relative to important life skills.  If improved IQ is not the variable that results in improved social outcomes we need to understand what happens to these children as a result of the programming they receive.  One likely hypothesis has been proffered to explain these data:

“…the intervention programs may have induced greater powers of self-regulation and self-control in the children, and … these enhanced executive skills may have manifested themselves in greater academic achievement much later in life.” (Raizada & Kishiyama, 2010).

Evidence has been substantiated for this hypothesis by Duckworth et al., (2005, 2007, 2009) who demonstrated that self discipline and perseverance or “grit” is more predictive of academic performance than is IQ and other conventional measures of cognitive ability (Raizada & Kishiyama, 2010).  It appears that enhancing one’s grit has the effect of triggering long-term capabilities that are self-reinforcing.  Improved self-control and attentiveness fosters achievement that ultimately feeds-back in a positive way making traditional school more rewarding and thus promoting even more intellectual growth (Raizada & Kishiyama, 2010).  Poor children, without intervention, on the other hand, appear less able to focus, attend, and sustain effort on learning and thus enter a negative feedback loop of struggle, failure, and academic disenchantment.

The bottom line is that success begets success and failure begets failure.  Stanovich (1986) offered an analogous explanation for reading proficiency: “…learning to read can produce precisely such effects: the better a child can read, the more likely they are to seek out and find new reading material, thereby improving their reading ability still further.” (Raizada & Kishiyama, 2010).

Both the Perry Preschool and Abecedarian Programs have impressive long-term outcome data.  See figures 2 & 3 below for a summary of those data.

Figure 2

Figure 3

The efficacy of each program has spawned other programs such as Knowledge is Power Program and the Harlem’s Children’s Zone.  Both of these intensive programs lack randomized assignment to treatment and non-treatment (control) groups.  As a result, it is difficult to make any claims about their treatment impact on important cognitive and social skills.  Given what we learned from the Perry and Abecedarian Programs, I have to wonder whether it would be ethical to withhold such treatment from those children randomly assigned to the control group.  It now seems to me, that we absolutely have an ethical obligation to short circuit the negative feedback loop of poverty and put into place universally accessible programs that diminish and/or eradicate poverty’s crippling life long impact.

We all pay a heavy price for poverty, but no one pays a greater cost than those children, who have been thrust into their circumstances, with little hope of rising out of poverty unless we join together to give them a fair shot at economic and social equality.

Yes, such programs cost money, but the long term economic costs of the status-quo are much greater.  Pay me now and build positive contributors to society, or pay me later and pay greater costs for special education, prisons, medicaid, and public assistance.  It certainly pays to step back from ideology and look at the real costs – both in terms of human lives and in terms of dollars and cents.  It makes no sense to continually blame the victims here.  Early intervention is good fiscal policy and it is the right thing to do.  It just makes sense!

NOTE: In a future post I will look at the evidence put forward by cognitive neuroscience for such programs.  Also see The Effects of Low SES on Brain Development for further evidence of the negative impact low SES has on children.

References:

Knudsen, E. I., Heckman, J. J., Cameron, J. L., and Shonkoff, J. P. (2006). Economic, neurobiological, and behavioral perspectives on building America’s future workforce.  Proceedings of the National Academy of Sciences.  v. 103, n. 27. 10155-10162.

Raizada, R. D. S., and Kishiyama, M. M. (2010). Effects of socioeconomic status on brain development, and how cognitive neuroscience may contribute to leveling the playing field.  Frontiers in Human Neuroscience. v. 4 article 3.