from the world's big
No, Not All Opinions Are Equal—We Need Elites with Expert Knowledge
Elitism has come under fire since the recent wave of populist politics. But when we don't listen to experts, we end up listening to politicians' lies, says Richard Dawkins.
Richard Dawkins is an evolutionary biologist and the former Charles Simonyi Professor of the Public Understanding of Science at Oxford University. He is the author of several of modern science's essential texts, including The Selfish Gene (1976) and The God Delusion (2006). Born in Nairobi, Kenya, Dawkins eventually graduated with a degree in zoology from Balliol College, Oxford, and then earned a masters degree and the doctorate from Oxford University. He has recently left his teaching duties to write and manage his foundation, The Richard Dawkins Foundation for Reason and Science, full-time.
Richard Dawkins: Among the reasons that I heard for people wanting to vote for Brexit were, 'Well, it’s nice to have a change,' and, 'Well, I preferred the old blue passport to the European purple passport.' These are the kinds of reasons people were giving for voting for Brexit. The day after the referendum, the most Goggled question in Britain was: What is the European Union?
During the Brexit campaign one of the leading politicians favoring Brexit, Michael Gove, said to the British people, “You are the experts. Don’t trust experts, you are the expert now.” So ordinary people who have absolutely no knowledge of economics or politics or history decided on a 50 percent majority to vote to Britain out of the European market, out of the European community, which was a very, very complicated, detailed, ramified structure that has been built up over decades. And so in one stroke the British people, who had no knowledge, no expertise, were given the opportunity by a reckless David Cameron to vote us out and they did, by a very narrow margin. This cult of everybody being an expert, all opinions being equally valid is, I think, dangerous and most unfortunate. Of course I have been accused of being an elitist because of this. And yes, when you’re about to have an operation you want an elite surgeon to cut you open, you want an elite anesthetist to put you under. When you’re about to fly you want an elite pilot to fly you. When you’re about to leave a federation of states, which has been built up over decades, you want an elite economist or politician or historian to advise you on it. You don’t want to take the view of just any old man in the street or woman in the street.
I pronounce myself profoundly ill-equipped to vote on the referendum about Brexit. I was ill-equipped and so was the vast majority of the British people ill-equipped. In that sense I think that elitist should stop being a dirty word and we should start to respect elites in whatever field we’re talking about. We want elite musicians to play in our orchestras, et cetera.
I think it’s bad enough to ask non-experts like me to vote in direct referendums, but when we are also being fed false information, or it’s deliberately false information. The Trump administration is actually lying every day and more or less proud of it. In Britain the Brexit campaign had a bus—you may have read about this—they had a bus which had a great big slogan on the side, which said that every day or every week I think it was, some gigantic sum was being paid to the European Union, which if we left Europe would be available for the national health. Now that was an admitted lie, that’s quite simply false, and many people were probably swayed by that consideration to vote to leave the European Union.
So no, I do think we need to stick to democracy as it is, but I think it’s a representative democracy that we have. In Britain we have a parliamentary democracy, normally we don’t vote on actual issues we vote members of Parliament. Members of Parliament then go to the House of Commons and then they vote on our behalf. And we have cabinet government where the cabinet gets advice from civil servants who are expert. So no I’m not advocating that people with PhDs should get two votes or anything like that; I don’t want to be elitist to quite that extent. So let’s go for representative democracy but not referendum democracy. I think it’s worth adding that the precedent for not everybody having the same weighted vote is already well-established in the United States. When you think about voting for the United States Senate, where every state gets two senators. What that means is that a citizen of Wyoming has, I think, the equivalent of 60 votes compared to a citizen of California because if you look at the actual relative population sizes of Wyoming and California. So in a way that pass has already been sold, that we already see gross inequality. I mean sixtyfold inequalities, and the Senate, of course, is very important because the Senate does not only take hugely important decisions but also ratifies presidential nominees for the Supreme Court and that could be the most important single thing that a president ever does, is appoint members to the Supreme Court because they go on and on for decades, in some cases, after the president is gone.
You want expert pilots to fly your planes, top doctors to perform your surgeries, the finest musicians in your orchestra, and for the same reason, you should want experts leading the nation, says Richard Dawkins. There has been a backlash against expert knowledge amid the rising wave of populist politics, but Dawkins doesn't think elitism is the dirty word that people are implying. He contends that not all opinions are equal, and that the leaders of the UK were profoundly misguided in allowing a referendum on Brexit to occur. No average citizen—not even Dawkins himself—was fit to decide on whether to leave a federation of states with so much economic and political importance, and decades of complex history attached to it. And much like the 2016 US presidential election, it was a political movement fueled by misinformation. A representative democracy is one thing, where citizens entrust experts to make national and local decisions, but a referendum democracy seems to Dawkins extremely ill-advised, particularly given that the top Google search in the UK the day after the Brexit vote was 'What is the European Union?'. Dawkins isn't shy: he's an elitist, but a rational one. He affirms he would never want a world where your IQ determines how many votes you get, but he sees the clear benefit of making political decisions based on knowledge rather than emotion or misinformation, deliberate or otherwise. Richard Dawkins' newest book is Science in the Soul: Selected Writings of a Passionate Rationalist.
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>
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.
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.
Vaccines find more success in development than any other kind of drug, but have been relatively neglected in recent decades.
Vaccines are more likely to get through clinical trials than any other type of drug — but have been given relatively little pharmaceutical industry support during the last two decades, according to a new study by MIT scholars.