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Revenge of the tribes: How the American Empire could fall
Yale professor Amy Chua on the identity of nations, why hardened tribes end up in civil wars, and why you can't just replace dictators with democracy.
Amy Chua: I think a great example of group blindness in the United States is when Woodrow Wilson said in 1915—in a very famous speech—“There are no groups in America. America doesn’t consist of groups. And if you continue to think of yourself as belonging to a smaller group you’re not American.”
It’s astonishing that he could say this—these universalist tones at a time when Native Americans were largely still denied citizenship, Mexican Americans were still being lynched, Asian Americans were barred from owning land, and African Americans were being subjected to violence and degradation virtually every day. And yet he was saying we don’t have any groups here. So that’s an example of almost willful blindness to groups. And sometimes this kind of universalist rhetoric, “Oh we’re all just one people,” is a way of hiding a lot of inequality and smaller kinds of group oppression.
So if you look at a country like Libya they’re actually a little bit like the United States. That is, they are a wildly multi-ethnic nation. The problem is they don’t have a strong enough overarching national identity to hold it together.
And the goal is a group—or a country, in this case—that has, on the one hand, a very strong overarching national identity: “We’re Americans,” but—importantly—at the same time allows individual, subgroup, and tribal identities to flourish.
You should be a country where you can say, “I’m Irish American,” or, “I’m Libyan American,” and yet be intensely patriotic at the same time. So: “I’m Muslim American. I’m Chinese American. I’m Nigerian American.” So, at its best, in America, there should be a certain amount of porousness and fluidity across tribes.
It’s when tribalism gets really entrenched that things can get very dangerous.
Western democracies at their best—or just any democracies—are when people have crosscutting group identities. So it’s like okay, I’m a Democrat or I’m a Republican but I’m also Asian American or African American or straight or gay, wealthy or not wealthy. Just different ways of dividing yourself so that you don’t get entrenched in just two terrible tribes.
It’s sort of like, if I’m talking about sports I’m with you, but if I’m talking about food preferences I’m with you, and you could have different groups that neutralize each other.
One of the problems with what we’re seeing in America today is that it seems increasingly that certain tribes are hardening. In particular, you’ve got what is very misleadingly called the “coastal elites”. In a way, that’s misleading because coastal elites are not all coastal and they’re also not all elites in the sense of being wealthy. Often, in this term coastal elites is included professional elites or even students who have no money but they’re well-educated, they’re progressive, they are multicultural and cosmopolitan.
And we’re starting to see in America something that I’ve seen in other countries that is not good. We don’t want to go there. We don’t want to get to the point where we look at people on the other side of the political spectrum and we see them not just as people that we disagree with but literally as our enemy, as immoral, “un-American” people.
Because once you get to that point you’re just not really one America anymore, and you start to get some of the problems that you historically have seen more in post-colonial developing countries.
So when you have one group that is just incredibly dominant—for example whites in the United States for almost 200 years—a group that is dominant economically, politically, and culturally. It can feel very stable, but it’s in an invidious way. That’s because there’s plenty of tribalism and other voices and other people and other groups, they just can’t speak. They can’t express themselves so you don’t hear from them. So when you have a very strong group that is politically and economically dominant you can get a lot of stability, but that’s often because other smaller groups are oppressed.
So take China. China is a group with an incredibly strong overarching national identity. Over 90 percent of the population is Han Chinese. Then you have all these minorities—the Uyghurs, the Tibetans, and many, many other smaller groups or tribes—but they have no power economically or politically. They can’t say anything. Their identities are suppressed.
In countries where there’s one group just controlling everything politically and economically you can have all kinds of injustice and oppression, but it tends to be stable politically.
What happens in other situations is sometimes power gets split. So in many developing countries around the world, economic power is concentrated in the hands of a tiny minority. For example, the three percent Chinese in Indonesia. Although only three percent of the population, the Chinese in Indonesia control roughly 70 percent of the corporate sector—and that’s not an exaggeration—it's almost all of the country’s largest conglomerates.
Or take whites in South Africa. Roughly maybe 10 percent of the population for most of that country’s history under apartheid, that tiny white minority controlled everything—all of the wealth, all the diamonds and politics. So these are situations where you have minority controlling an economy. And what happens in this situation is if you then introduce democracy suddenly—majority rule—you’re not going to get peace and prosperity like Americans often expect democracy to bring.
Instead, you’re often going to get payback time where the long-resentful and suppressed majority will use their new political power to come after that dominant minority.
One recent example is Iraq. Iraq is a country where the Sunnis were actually about 10 to 15 percent of the population but they were economically dominant for many, many generations. Partly—Saddam Hussein himself was a Sunni, so he favored the Sunnis, and under Saddam Hussein’s brutal dictatorship the Sunnis ran the oil wealth, they controlled the political power. Although a minority, the Sunnis were also dominant under the British because the British liked to play groups against each other. And the British favored the Sunni minority. And before that, under the Ottomans, the Sunnis were also dominant.
So you’ve got this tiny minority, the Sunnis, about 10 percent of the population, 10 to 15 percent. Suddenly the United States comes in, topples a terrible dictator and says, “Great, we’re going to put in democracy now,” expecting democracy in Iraq to bring freedom and prosperity.
That’s not what happened. The newly empowered Shi’ias, about 60 percent of the population, used their new political power to exact revenge on the Sunnis who had basically oppressed them for, really, hundreds of years.
So, in that case, democracy is not a vehicle for freedom and prosperity, but democracy can become an engine for ethnonationalism and tribalism.
Yale professor Amy Chua has two precautionary tales for Americans, and their names are Libya and Iraq. "We're starting to see in America something that I've seen in other countries that is not good," says Chua. "We don't want to go there. We don't want to get to the point where we look at people on the other side of the political spectrum and we see them not just as people that we disagree with but literally as our enemy, as immoral, "un-American" people." Tribalism is innate to humanity, and it is the glue that holds nations together—but it's a Goldilocks conundrum: too much or too little of it and a nation will tear at the seams. It becomes most dangerous when two hardened camps form and obliterate all the subtribes beneath them. Chua stresses the importance of "dividing yourself so that you don't get entrenched in just two terrible tribes." Having many identities and many points of overlap with fellow citizens is what keeps a country's unity strong. When that flexibility disappears, and a person becomes only a Republican or a Democrat—or only a Sunni Muslim or a Shia Muslim, as in Iraq—that's when it's headed for danger. In this expansive and brilliant talk on political tribes, Chua explains what happens when minorities and majorities clash, why post-colonial nations are often doomed to civil war, and why you can't just replace dictators with democracy.
If machines develop consciousness, or if we manage to give it to them, the human-robot dynamic will forever be different.
- Does AI—and, more specifically, conscious AI—deserve moral rights? In this thought exploration, evolutionary biologist Richard Dawkins, ethics and tech professor Joanna Bryson, philosopher and cognitive scientist Susan Schneider, physicist Max Tegmark, philosopher Peter Singer, and bioethicist Glenn Cohen all weigh in on the question of AI rights.
- Given the grave tragedy of slavery throughout human history, philosophers and technologists must answer this question ahead of technological development to avoid humanity creating a slave class of conscious beings.
- One potential safeguard against that? Regulation. Once we define the context in which AI requires rights, the simplest solution may be to not build that thing.
Duke University researchers might have solved a half-century old problem.
- Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
- The blend of three polymers provides enough flexibility and durability to mimic the knee.
- The next step is to test this hydrogel in sheep; human use can take at least three years.
Duke researchers have developed the first gel-based synthetic cartilage with the strength of the real thing. A quarter-sized disc of the material can withstand the weight of a 100-pound kettlebell without tearing or losing its shape.
Photo: Feichen Yang.<p>That's the word from a team in the Department of Chemistry and Department of Mechanical Engineering and Materials Science at Duke University. Their <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202003451" target="_blank">new paper</a>, published in the journal,<em> Advanced Functional Materials</em>, details this exciting evolution of this frustrating joint.<br></p><p>Researchers have sought materials strong and versatile enough to repair a knee since at least the seventies. This new hydrogel, comprised of three polymers, might be it. When two of the polymers are stretched, a third keeps the entire structure intact. When pulled 100,000 times, the cartilage held up as well as materials used in bone implants. The team also rubbed the hydrogel against natural cartilage a million times and found it to be as wear-resistant as the real thing. </p><p>The hydrogel has the appearance of Jell-O and is comprised of 60 percent water. Co-author, Feichen Yang, <a href="https://today.duke.edu/2020/06/lab-first-cartilage-mimicking-gel-strong-enough-knees" target="_blank">says</a> this network of polymers is particularly durable: "Only this combination of all three components is both flexible and stiff and therefore strong." </p><p> As with any new material, a lot of testing must be conducted. They don't foresee this hydrogel being implanted into human bodies for at least three years. The next step is to test it out in sheep. </p><p>Still, this is an exciting step forward in the rehabilitation of one of our trickiest joints. Given the potential reward, the wait is worth it. </p><p><span></span>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
What would it be like to experience the 4th dimension?
Physicists have understood at least theoretically, that there may be higher dimensions, besides our normal three. The first clue came in 1905 when Einstein developed his theory of special relativity. Of course, by dimensions we’re talking about length, width, and height. Generally speaking, when we talk about a fourth dimension, it’s considered space-time. But here, physicists mean a spatial dimension beyond the normal three, not a parallel universe, as such dimensions are mistaken for in popular sci-fi shows.
An algorithm may allow doctors to assess PTSD candidates for early intervention after traumatic ER visits.
- 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
- Early treatment is available but there's been no way to tell who needs it.
- Using clinical data already being collected, machine learning can identify who's at risk.
The psychological scars a traumatic experience can leave behind may have a more profound effect on a person than the original traumatic experience. Long after an acute emergency is resolved, victims of post-traumatic stress disorder (PTSD) continue to suffer its consequences.
In the U.S. some 30 million patients are annually treated in emergency departments (EDs) for a range of traumatic injuries. Add to that urgent admissions to the ED with the onset of COVID-19 symptoms. Health experts predict that some 10 percent to 15 percent of these people will develop long-lasting PTSD within a year of the initial incident. While there are interventions that can help individuals avoid PTSD, there's been no reliable way to identify those most likely to need it.
That may now have changed. A multi-disciplinary team of researchers has developed a method for predicting who is most likely to develop PTSD after a traumatic emergency-room experience. Their study is published in the journal Nature Medicine.
70 data points and machine learning
Image source: Creators Collective/Unsplash
Study lead author Katharina Schultebraucks of Columbia University's Department Vagelos College of Physicians and Surgeons says:
"For many trauma patients, the ED visit is often their sole contact with the health care system. The time immediately after a traumatic injury is a critical window for identifying people at risk for PTSD and arranging appropriate follow-up treatment. The earlier we can treat those at risk, the better the likely outcomes."
The new PTSD test uses machine learning and 70 clinical data points plus a clinical stress-level assessment to develop a PTSD score for an individual that identifies their risk of acquiring the condition.
Among the 70 data points are stress hormone levels, inflammatory signals, high blood pressure, and an anxiety-level assessment. Says Schultebraucks, "We selected measures that are routinely collected in the ED and logged in the electronic medical record, plus answers to a few short questions about the psychological stress response. The idea was to create a tool that would be universally available and would add little burden to ED personnel."
Researchers used data from adult trauma survivors in Atlanta, Georgia (377 individuals) and New York City (221 individuals) to test their system.
Of this cohort, 90 percent of those predicted to be at high risk developed long-lasting PTSD symptoms within a year of the initial traumatic event — just 5 percent of people who never developed PTSD symptoms had been erroneously identified as being at risk.
On the other side of the coin, 29 percent of individuals were 'false negatives," tagged by the algorithm as not being at risk of PTSD, but then developing symptoms.
Image source: Külli Kittus/Unsplash
Schultebraucks looks forward to more testing as the researchers continue to refine their algorithm and to instill confidence in the approach among ED clinicians: "Because previous models for predicting PTSD risk have not been validated in independent samples like our model, they haven't been adopted in clinical practice." She expects that, "Testing and validation of our model in larger samples will be necessary for the algorithm to be ready-to-use in the general population."
"Currently only 7% of level-1 trauma centers routinely screen for PTSD," notes Schultebraucks. "We hope that the algorithm will provide ED clinicians with a rapid, automatic readout that they could use for discharge planning and the prevention of PTSD." She envisions the algorithm being implemented in the future as a feature of electronic medical records.
The researchers also plan to test their algorithm at predicting PTSD in people whose traumatic experiences come in the form of health events such as heart attacks and strokes, as opposed to visits to the emergency department.