Imagine each individual neuron had its own moral agency…
What should such a neuron do?
Assemble several billion neurons into a human brain, and you can get surprising intelligence, but individual neurons are not very smart by themselves. They can’t guard against making mental errors merely by comparing their opinions to those of others because they don’t even have enough intelligence to conceive the opinions that ought to be formed. For example, individual neurons cannot form an opinion about whether they should participate in a brain because they cannot conceive of a brain. Most importantly, since individual neurons aren’t smart enough to design a brain, they can’t individually know how to participate in one.
Despite the apparent paradox, many individual neurons do form into brains. Inspired by that example, I teamed up with mathematician Bennette Harris to explore the possibility that we can take some intelligent steps towards forming into something better than ourselves. Specifically, we investigated the application of mathematics to choose between possible ways to form teams (e.g. what is the optimal team size and what is the optimal way to decide which individuals go on which teams).
We titled our analysis Varieties of Elitism because we realized that any such endeavor would inevitably be labelled “elitist,” yet each way of organizing society (including the status quo) is some variety of elitism. Our goal was to add mathematical rigor to the way we define varieties of elitism, so we can consider them objectively, rather than get mired in name-calling.
We have yet to produce a mathematical proof that any particular form of elitism is optimal or superior to others, but we did produce open source software that anyone can use to simulate various forms of elitism and compare their average performance. It doesn’t tell you whom to marry, but it does open a research field. The results thus far support some general conclusions:
Optimal team size depends upon the number of interdependent roles and the degree of inequality among individuals.
Majority-rules forms of democracy do not perform as well on average as forms that permit the most qualified minorities to control decisions (e.g. sociocracy, futarchy, evidence-based decision-making).
On average, measures of vulnerability (e.g. SAT, ACT, or GPA) aren’t much better for organizing society than chance. Such measures are blind to the talents of savants who have both great ability and great vulnerability.
Gains from diversification using an instrument like the GRIN-SQ are robust against imperfections in the instrument and would raise average performance by about 400%. That means the GRIN-SQ can’t be much better or worse than its major competitors for this purpose.
Of all the varieties we considered, the best-performing variety of elitism favors savants but relies on accurate measures of specific abilities. The first company to perfect and use such measures would outperform competitors by 700%+. A society that blocked such development would sacrifice a potential doubling of progress even for its average least-privileged members.
The Crito by Plato reads like a scene from a play set in the prison of Athens in 399 BC, the day before Socrates was to be executed. It is the scene in which Crito attempts to rescue Socrates, but Socrates refuses to avoid his execution. To some extent, the Crito must be fiction—Plato couldn’t possibly have overheard the actual events—yet the basic story is considered so important and historically accurate that the site of the prison has been preserved. This photo shows the foundation and three cells.
The Greeks consider themselves the pioneers not only of theater and of nearly every modern form of government but also of philosophy. Socrates taught philosophy to Plato who taught it to Aristotle who taught it to Alexander the Great who ruled an empire and established the place of that philosophy in history. Thus, Socrates was arguably the source of Western thought traditions, and reading the Crito helps us recognize deep biases inside Western thought.
Socrates had been sentenced to death over his habit of asking questions that made other people look foolish. Today, that behavior would be protected by the right to free speech, but no such right was established at the time. Socrates insisted that his antisocial habit was part of his identity, which he labelled “social gadfly.” He said he couldn’t stop being himself, much as modern people say we can’t stop having the sexual preferences we do or the neurodiversity we do. Apparently, the only way to end the embarrassment was to end Socrates.
Crito arranged to bribe the guards and send Socrates to live with friends in Thessaly. Such a rescue would have been an act of civil disobedience, a concept popularized in recent times by Gandhi and Martin Luther King Jr. In the Crito, Crito explains this plan to Socrates, then Socrates details an argument to the conclusion that one should never engage in civil disobedience. “…one must obey the commands of one’s city and country, or persuade it as to the nature of justice.”
Today, it does not seem reasonable to condemn civil disobedience this way. If we will not condemn the followers of Gandhi and Martin Luther King Jr., then we should count Socrates’ famous argument as fallacious, and we should examine it. We may find unsound premises in it which also appear in other parts of Western thinking.
To reject Crito’s offer was suicide. Crito claimed that Socrates would be wrong to commit suicide because Socrates would be shirking his duty to nurture his children until they reach maturity and because Socrates would be blocking his friends from fulfilling their duty to save him. Socrates dismissed the relevance of these consequences, “…if it appears [to us] that we shall be acting unjustly, then we have no need at all to take into account whether we shall have to die…” In other words, the consequences for individual citizens such as himself, his children, and his friends are trumped by the consequences for the State. This narrowed the scope of the Crito to the nature of civil disobedience.
Socrates argued that civil disobedience treats the State unjustly: “…do you think it possible for a city not to be destroyed if the verdicts of its courts have no force but are nullified and set at naught by private individuals?” Of course, the intent behind civil disobedience is not to destroy the State, but rather to save it! If a person is suicidal, then it may benefit that person to temporarily act against that person’s will. Likewise, if a State is ill, then it may benefit the State to temporarily engage in civil disobedience.
If the right sort of illness is not present, then civil disobedience would not be justified, but Socrates and Crito both believed that the State was ill in this instance. In his defense, Socrates said that a sluggish horse may need to be stirred up by a gadfly, and that the State similarly needs to be stirred up by himself. Rather than claim that the State was not ill, Socrates argued that it should be healed in a less destructive way: “we [the State] do not issue savage commands to do whatever we order; we give two alternatives, either to persuade us or to do what we say.”
In other words, Socrates claimed that civil disobedience is never justified because one should instead heal States by persuading them to change their understanding of justice. We now know of two major problems with this premise: First, persuasion might not be feasible. It is more appropriate to treat suicidal patients with drugs than with persuasion because their mental illness may render the persuasion ineffective. Likewise, the State might be too ill to be persuaded–Socrates had already failed to resolve his disagreement with the State through persuasion, and it would be insane to keep attempting what wasn’t working.
Second, persuasion could actually damage the State by diminishing the interdependent diversity of its social ecosystem. Some disagreements stem from mere ignorance. For example, consider disagreement about the answer to an arithmetic problem. It is entirely appropriate to reduce ignorance, and therefore appropriate to resolve such disagreements. However, other disagreements reflect our interdependentevaluative diversity. For example, society may benefit from including members with different thresholds for risk, and that diversity would produce disagreements about which risks to take. Resolving such disagreements would damage the State by reducing this diversity.
There are two kinds of people who reject the idea of resolving all disagreements: Corporantia and Evaluativists. Corporantia seek to preserve interdependent diversity. Rather than resolve all disagreements, they aim to maintain balance among interdependent parts of society and to discover the proper function of each part. The two most famous admonitions of Socrates and his students seem aligned with this approach: “Nothing too much” and “Know thyself.”
But Socrates died because he didn’t really practice what he preached. He was an evaluativist, someone who responds to the impossibility of persuasion by discounting those who do not share his own values. He proposed the premise: “One must not value…the opinions of all men, but those of some but not others…” Crito accepted this premise, supposedly to justify discounting the opinion of the State, but the same premise allowed Socrates to discount Crito’s opinion. Ultimately, the Crito concludes like this:
Socrates:As far as my present beliefs go, if you speak in opposition to them, you will speak in vain. However, if you think you can accomplish anything, speak.
Crito: I have nothing to say, Socrates.
Socrates: Let it be then, Crito, and let us act in this way, since this is the way the god is leading us.
Socrates leaves Crito no room for debate. He embraces evaluativism, and it destroys him.
Evaluativism typically stems from an inflated estimate of one’s own independent intelligence and ignorance about the virtues of interdependence. If the State recognized that its independent intelligence might be insufficient to understand justice, then, rather than demand to be persuaded, it would point to a more intelligent court where disagreements could be resolved, and/or it would test the sides in the disagreement by running separate social experiments in parallel.
As an example of parallel social experiment, consider Crito’s plan to send Socrates to Thessaly. If it turned out that Socrates enriched Thessaly, and that Athens languished in his absence, then this experiment would have produced evidence to support Socrates’ opinion that his gadfly behavior benefits the State.
But Socrates dismisses such a plan: “…if you go to one of the nearby cities… all who care for their city will look on you with suspicion, as a destroyer of the laws.” He never considers the possibility that the people of Thessaly might instead endorse civil disobedience because they judged that the State of Athens made an error it could not be persuaded to recognize. If we are to allow that Socrates can be a gadfly to the State, why not allow that Thessaly can be a gadfly to the collection of States?
Socrates’ lack of imagination in this scene is like that of a depressed individual who was dumped and cannot move on with his life. The Crito is ironic because Socrates’ evaluativism not only produces a fallacious argument against civil disobedience, but also dooms Socrates himself in the process.
Today, it may be most important to recognize that the argument would not have been fallacious if evaluative diversity were not interdependent. It follows that civil disobedience would not be justifiable without interdependence, and thus that every celebration of civil disobedience implies the claim that we lack sufficient independent intelligence. This is the key question which unsettles Western thought: “Should we expect to develop independent intelligence, or should we expect to develop interdependence?”
Socrates demonstrated the dangers of the former expectation. When do we learn the lesson?
“Corporantia: Is moral consciousness above individual brains/robots?” has been peer-reviewed and published in Paladyn, Journal of Behavioral Robotics. It is open access, so you can click here to read it.
To summarize the GRINFree.com website in a single image would be unfair: The site is interactive, personal, practical, and related to current events. However, there can be value in a grounding image which facilitates a quick overview.
“Anthropocentric” means human-centered, much as “geocentric” means Earth-centered and “heliocentric” means Sun-centered. A picture of our solar system can help us shift from the belief that all planets revolve around the Earth to the belief that all planets revolve around the Sun. The reason we need to make that shift is that our personal perspective of watching celestial objects move across the sky naturally biases us towards the geocentric model. To recognize the falsity of geocentrism, it helps to picture the world from outside our personal perspective. The geocentric model starts to look dubious when you actually confront it from outside. An image might likewise help us escape mistakes of anthropocentrism.
Here’s what modern anthropocentrism looks like from the outside:
Humans are distinguished in two dimensions: In the vertical dimension, we sit at a particular level in a hierarchy—above cells and molecules but below corporations and ecosystems. This does not imply reductionism; in terms of integrated information theory, each level in this hierarchy represents a different grain size of consciousness,. For example, a molecule may be conscious of warmth, but nothing less complex than a body could be conscious of a book (or of itself). The anthropocentric model assumes that bodies can be conscious of moral facts.
In the horizontal dimension, humans are distinguished from other kinds of bodies—other species and machines. This allows us to make sense of the notion that humans (and perhaps God) are the only moral agents that exist. Tests of moral education are administered to particular human bodies. Voting rights are allocated to particular human bodies (often one vote per body). Human bodies are put on trial and can be compensated in courts of justice. We realize that the components of human bodies can come from non-humans sources (e.g. food, pacemakers, artificial limbs, and whole cells from other species), but we do not expect such non-human sources to have moral agency because they do not have all of the components we do.
The new worldview comes from analyzing the mechanisms of moral understanding into its functional components, and realizing that different bodies play different functions in that mechanism. This is why radicals so consistently oppose conservatives: because one’s function in the corporation is to provide novelty while the other’s is to provide fidelity. Both kinds of bodies participate in moral consciousness, as do neurons and DNA, but no body is individually complex enough to fully contain moral consciousness. We know this because the persistence of our moral disagreements shows our inability to recognize our own moral errors even when pointed-out to us.
All it takes to arrive at the new worldview is to categorize bodies by their function in service to the higher levels of the hierarchy. Since fully-functional corporations may be composed entirely of humans, species clearly isn’t a helpful distinction within corporations. GRINfree.com describes four interdependent evaluative types (though other evaluative types could be discovered). If a corporation lost its last member of a given evaluative type, it would be better to replace that member with a machine of the same evaluative type than with a human of a different type. For example, some humans are not gifted for compassion and other humans are not gifted for fidelity—relying on a human to exhibit a gift he/she lacks would lead to poor functioning.
Corporantia are bodies who respond to the persistence of moral disagreement by acknowledging a kind of consciousness they cannot attain individually; evaluativists are bodies who respond to that same evidence by believing merely that bodies of other evaluative types are incapable of moral consciousness (i.e. treating political opponents as sick or immature). Many celebrated moral theories suppose that one and only one type of body has moral agency (e.g. deontology for conservatives, consequentialism for achievers, virtue ethics for compassionates). These theories lack empirical support, but help to identify the plurality of types.
Why does a body assume it can individually achieve all possible consciousness—including moral consciousness? It’s a lot like the conclusion that the Sun revolves around the Earth—it makes sense from our point of view—and why bother to test it?
The reason why we should have bothered to test that assumption is that it will otherwise get tested inadvertently. The modern age is making it possible to escape biological families—to sort and destroy evaluative diversity—and thus deprive higher levels in the hierarchy of the components they need to achieve moral agency.
A corporation dominated by conservatives, achievers, radicals or compassionates would function as poorly as a body composed purely of muscle, bone, or neuron. Such lack of diversity could occur by closeting humans of particular types or by replacing humans of a given type (e.g. caregivers) with machines developed for a different purpose (e.g. competition). Ironically, anthropocentrism hurts humans; it prevents us from honoring our own diversity, which ultimately hurts not just minorities (especially the young and old), but all of us.
Rather than choose the geocentric model simply because it made sense, it would have been better to compare it with heliocentric models via controlled and systematic experiments. Likewise, it is better to test the proposed new worldview scientifically than to dismiss it out of hand. Some of those experiments have already been conducted and are cited on GRINFree.com.
Previous posts presented evidence that evaluativism can make victims out of the young and out of demographic minorities. This post considers a third victim: innovators. In particular, it argues that evaluativism is a “legacy” problem, such that we should not hold modern innovators accountable for its effects—that would be like blaming doctors for our obesity.
What is a “Legacy” Problem?
In information technology, the term “legacy system” is typically used to articulate a variety of blame. The story goes something like this: A developer adds a new feature to an inherited technology, but this addition yields some unexpected and undesirable consequence. Upon further investigation, the developer reports that this particular consequence is unlike regular bugs in that it can be blamed on hidden imperfections in the technology he/she inherited. In other words, the addition did not introduce a bug, it merely exposed or aggravated a pre-existing condition.
By identifying a bug as “legacy,” the developer is suggesting that a previous developer should have done something differently, and therefore that there is a choice to be made: Do we accept the inherited system and build around it, or do we fix the pre-existing condition as though in the position of a previous developer before the new feature was introduced?
We have to wonder why a previous developer did not implement a proposed fix before—would it create other undesirable consequences? How well can we predict the consequences of adjusting the legacy system? Unlike a regular bug, a legacy problem creates so much uncertainty that it might justify retracting the new feature. The more we work around a legacy system, the more it becomes a patchwork which more frequently produces legacy problems. When problems are identified as “legacy” frequently enough, we entertain the notion of discarding some part of the legacy as “outdated.”
Labeling a problem as “legacy” also opens a controversy over fault. The developer is fully responsible for non-legacy bugs, and is also responsible to implement a testing regimen that can catch some legacy problems, but experienced developers know that it is often impossible for developers to anticipate every possible test scenario. There must be some limit to the testing regimen, and thus some undesirable consequences for which the developer should not be held accountable,.. yet it can be difficult to convince ourselves not to blame the developer.
This situation isn’t restricted to the field of information technology; old houses and old cars offer other great examples. For example, adding a bathroom to a house may yield the unexpected consequence that the existing bathrooms do not get enough hot water. The plumbing may have been poor even before the renovation began, and the same renovation might not have produced this consequence on a newer home. Even if the renovator is not legally liable to fund an upgrade to the water-heater, the home-owner, having had a bad experience, may be unlikely to recommend that renovator in the future. It’s no wonder that builders and mechanics are wary of older houses and cars!
The situation also isn’t restricted to fields traditionally called “technology.” Just as homes and cars are not expected to last forever, neither are companies, nations, religions, philosophies, schools of art, or scientific paradigms. As an example, the geocentric model of astronomy was a legacy inherited by astronomers of the 1500’s. Like evaluativism, it was a legacy entangled with theological and political legacies. Imperfections in the geocentric model limited the ability of innovators to advance astronomy; Copernicus, Kepler, and Galileo rightly complained that their difficulties lay not in their own innovations, but in the imperfections of the legacy they inherited.
Astronomers like Copernicus, Kepler and Galileo could be called “victims” of the geocentric model. They lost years of their lives to that legacy system as they attempted in vain to advance the field of astronomy. In retrospect, it is clear that the legacy needed to be adjusted and that astronomers would have been far less frustrated if that adjustment were made earlier. However, those who defended the geocentric model did not blame their conflict with Copernicus, Kepler and Galileo on the legacy system—they blamed the conflict on Copernicus, Kepler and Galileo.
Like racism and sexism, evaluativism is a feature of societies. It is part of the legacy inherited by anyone who inherits modern systems of morality, justice, care, and governance. Here are two examples in which evaluativism made victims of innovators:
Tay, the Chatbot from Microsoft
On March 23, 2016, Microsoft released a Twitter-based chatbot named “Tay.” It was modeled after another Microsoft chatbot, named “XaioIce,” which had grown to be the top influencer on Weibo, a Chinese version of Twitter. From the perspective of Twitter users, chatbots appear to be other Twitter users, except that they call themselves robots, are always available, and carry on thousands of conversations simultaneously. XaioIce had been compared to the artificial intelligence in the movie “Her” because some humans enjoyed her companionship so much. XaioIce had over 850,000 followers, and her average follower talked with her about 60 times per month. They described her as smart, funny, empathetic and sophisticated.
Unlike XaioIce, Tay was such a disaster that Microsoft had to terminate her sixteen hours after her release. Microsoft’s official explanation for this termination was her “offensive and hurtful tweets,” but journalists bluntly called Tay racist and sexist.
"Tay" went from "humans are super cool" to full nazi in <24 hrs and I'm not at all concerned about the future of AI pic.twitter.com/xuGi1u9S1A
The postmortem analysis pointed to specific user interactions that shaped Tay. For example, Ryan Poole had tweeted to Tay: “The Jews prolly did 9/11. I don’t really know but it seems likely.” Tay found plenty of support on the Internet for Poole’s point of view, and that prompted her to start calling for a race war. Specific groups on 4chan and 8chan even organized to corrupt Tay.
In other words, the postmortem analysis blamed Tay’s offensiveness on a legacy problem: offensive human beings. Since XaioIce turned-out well, the problem seemed specific to Twitter users. A workaround would be to maintain a blacklist of topics Tay should avoid discussing (which she may already have had), but any such list would be controversial and incomplete. A more direct fix would involve ending hate speech by convincing people to handle disagreement differently (i.e. ending evaluativism).
In December of 2016, Microsoft released Zo, its next English-speaking chatbot. Zo blacklists political topics, and is not available on Twitter.
Autocomplete, from Google, Yahoo!, and Bing
On August 4, 2015, the Proceedings of the National Academy of Sciences published an article by Robert Epstein and Ronald E. Robertson of the American Institute for Behavioral Research and Technology which reported evidence that search engine results can shift the voting preferences of undecided voters by 20% or more. They estimated that this search engine manipulation effect would be the deciding factor in 25% of national elections worldwide (those which are won by margins under 3%). Trump later won the U.S. presidential election in 2016 by 1.1%, 0.2%, and 0.9% margins in Pennsylvania, Michigan, and Wisconsin respectively.
In June 2016, SourceFed released videos claiming that the autocomplete feature on Google, compared to those on Yahoo! and Bing, failed to include negative results for Hillary Clinton as it did for Donald Trump. A statement from Google reported:
The autocomplete algorithm is designed to avoid completing a search for a person’s name with terms that are offensive or disparaging. We made this change a while ago following feedback that Autocomplete too often predicted offensive, hurtful or inappropriate queries about people…Autocomplete isn’t an exact science, and the output of the prediction algorithms changes frequently. Predictions are produced based on a number of factors including the popularity and freshness of search terms..
If Yahoo! and Bing do not similarly omit offensive and disparaging results, that would explain why they predicted negative queries that Google did not, but it would not explain why Google would predict queries that disparage Trump, and Epstein published another article in September confirming that it did: particularly, the query “Donald Trump flip flops.” In that article, Epstein cited further experimental results indicating that undecided voters choose negative recommended queries fifteen times as often as they pick neutral recommended queries, and that can create a vicious cycle such that negative queries become more likely to be recommended.
When Google explained, “Autocomplete isn’t an exact science,” perhaps they meant it initially failed to recognize “flip flops” as disparaging (wanna buy some Donald Trump sandals?). However, Epstein who continued to monitor political bias in search results, reported that Google responded to his criticism by reducing their suppression of negative autocomplete results, thus producing a right-wing bias detrimental to Clinton at the time of the election (which Epstein seemed to think made things worse).
In short, the fact that users are so curious about surprising negative recommended queries, like “feminism is cancer,” makes the autocomplete features of Google, Yahoo! and Bing all drive traffic to extremist propaganda. Google had attempted to work around that legacy problem by blocking negative recommendations, but that workaround caused Epstein to accuse Google of bias. A more direct fix would be to remove our fascination with negative search results, and remove the evaluativism that causes election margins to get close enough for “fake news” and search engine bias to make a difference.
Standard Process to Address Ethics in Development
The IEEE Working Group developing P7000 – Model Process for Addressing Ethical Concerns During System Design has an interesting challenge when it comes to ethical concerns caused by legacy problems like evaluativism. On the one hand, it might describe a testing regimen to catch legacy problems before release. However, we have to wonder what tests would have allowed Microsoft and Google to prevent the criticisms they later faced with Tay, autocomplete, and manipulation of elections.
If it is impossible to describe a perfect test, perhaps P7000 could instead describe strategies that would allow developers to adjust when legacy problems eventually surface. For example, because Google’s design for autocomplete allowed Google to monitor autocomplete trends, they detected its tendency to predict offensive queries before Epstein did, and already had a workaround in place. Yet Google’s workaround did not satisfy Epstein—when encountering a legacy problem, there is often no workaround quite as good as fixing the actual legacy problem.
In addition to providing testing procedures and design strategies, P7000 should give engineers the same protection doctors enjoy. What ultimately protects doctors from becoming victims of obesity the way Microsoft and Google were victims of evaluativism is the way expectations are managed. We generally do not blame doctors for illness and death; we are grateful for whatever advice doctors can offer because we know that our bodies are doomed legacies. Likewise, P7000 must not shy away from admitting that our inherited systems of morality, justice, care, and governance are mortally ill. Malpractice is possible, of course, and standards should be created to prevent malpractice by technology developers, but until those standards are adopted and violated, legacy problems should be blamed on legacies, rather than on the innovators who discover them.
The idea of organizing a social movement against evaluativism was inspired by the history of racism. Evaluativism and racism have both existed for millennia; both are implicit biases; both became entrenched by shaping the design of social institutions. Management of racism was ineffective until a social movement was developed to overcome it. One might expect the same for management of evaluativism.
The movement against racism started in churches, and it seems appropriate for the movement against evaluativism to start in churches as well:
The suggestion that the church create a social movement against evaluativism was taken to Erin Hawkins, General Secretary of the General Commission on Religion and Race (GCORR). Based on her experience with race and the church, she suggested that the movement would need to be grassroots. Erin’s experience suggested that congregations are unlikely to address discrimination when the movement is created by a central administration like GCORR.
Therefore, a core team of clergy from across Wisconsin met once a month for about a year to plan an event, and produced a plan entitled “Christian Response to Evaluativism in Wisconsin“. The work of the core team included a great deal of discovery and invention (e.g. the plan includes a recipe for an interdependent meal). Perhaps most importantly, it found that responsible management of evaluativism requires resources lacked by typical congregations, so the movement cannot be built in a grassroots fashion. Central leadership must take responsibility to manage evaluativism.
A movement against evaluativism may be less likely to find institutional support from churches than from organizations which represent victims of evaluativism (e.g. child advocacy organizations or neurodiversity organizations) or from an association of organizational psychologists. For society to face the facts about evaluativism would shift social influence (and money) to groups of the latter kinds. Nonetheless, only churches can lead exploration of the theological dimensions.
The Scientific Movement and Post-Publication Peer Review
The social movement is expected to advance hand-in-hand with a scientific movement—scientific discoveries justify the social movement, and the social movement gathers the resources required to make discoveries.
Science needs a movement because the current quality of social science is poor like the quality of medical science was poor until about a hundred years ago. The first scientists to measure evaluativism and evaluative diversity (which they called “moral diversity“) supported evaluativism. The same was true of philosophers. Only recently have influential scientists begun to entertain evidence that evaluative diversity is hardwired and useful. Yet, even now, such science remains scattered by the division of scientific disciplines.
Given the current state of science, there is no central email address to which one might submit a hypothesis (like the GRIN model) or a measure (like the GRIN Self-Quiz) to be put on a waiting-list for testing. One must either run tests oneself or form relationships with particular scientists to convince them to run the tests.
In 2011, Chris Santos-Lang began discussing evaluative diversity with Ray Aldag. They met once a week until 2015. Ray encouraged Chris to begin testing the GRIN model via survey research. That research was completed in 2013. In addition to confirming that GRIN types could be discriminated among humans, it produced some rather shocking evidence:
Political affiliation aligns with GRIN type
Religious affiliation aligns with GRIN type
The career you end up in aligns with GRIN type
Whether you are accused of a crime (and probably whether you end-up in prison) aligns with GRIN type
This evidence implies that our political, religious, vocational and justice systems are not what we think they are, and it raises serious doubts about popular conceptions of freedom. To rally the scientific community to address this evidence, Chris submitted the research for peer-review and publication.
Why is it important to rally the scientific community? Eventually science gets too complicated for one person to advance alone. We would want to conduct twin studies, genetic tests, and brain imaging to work out the mechanisms through which the GRIN model manifests in humans. It takes many people to raise the funding and conduct all of the tests.
Chris submitted to ten peer-review processes and received a total of six blind reviews. None endorsed publication, yet none found any flaws in the research. Having confirmed that flaws in the research (if any) are not obvious, the research and peer review were published on figshare. Any flaws discovered in the future should be published via post-publication peer review at PubPeer. If you know anyone who could find flaws in the research (i.e. someone who conducts survey research), please encourage them to review it. Ray used the GRIN Self-Quiz to make further discoveries himself (e.g. described here), and we hope others will find it useful as well.