from the world's big
China will overtake the U.S. as world’s top economy in 2020, says Standard Chartered Bank
The report also predicts India's economy will surpass the U.S. by 2030.
- The Standard Chartered Bank, a British multinational banking and financial services company, recently issued a report to clients outlining projections about the world economy up until 2030.
- The report predicts Asian economies will grow significantly in the next decade, taking seven of the top 10 spots on the list of the world's biggest economies by 2030.
- However, the researchers formed their predictions by measuring purchasing power parity at GDP, which is an approach that not all economists would use in these kinds of projections.
China is poised to overtake the United States as the world's top economy as early as next year, according to a new report by the Standard Chartered Bank. Its analysts discovered this new status by surveying countries' purchasing power parity (PPP) exchange rates and nominal GDP.
The shakeup will be fueled largely by a strengthening of the middle class in Asian countries, suggests the report, which was covered by MarketWatch. "The global middle class is at a tipping point," Standard Chartered researcher Madhur Jha said in the report. "By 2020, a majority of the world population will be classified as middle class. Asia will lead the increase in middle-class populations even as middle classes stagnate in the West."
India is also estimated to overtake the U.S. economy by 2030, largely thanks to rapid urbanization.
"India will likely be the main mover, with its trend growth accelerating to 7.8 percent by the 2020s partly due to ongoing reforms, including the introduction of a national goods and services tax (GST) and the Indian Bankruptcy Code," Standard Chartered said.
The researchers wrote that Asia will see significant economic growth as the size of economic output begins to match the size of population."Our long-term growth forecasts are underpinned by one key principle: countries' share of world GDP should eventually converge with their share of the world's population, driven by the convergence of per-capita GDP between advanced and emerging economies," the report states.
Meanwhile, the researchers predicted that the economies of Europe and the U.S. will continue to grow, albeit at a slower rate, and that wealth inequality will continue to worsen in the U.S.
Visual Capitalist created a graphic that illustrates the report's projections for how the world's top economies will stack up in 2030.
If the predictions come true, countries such as Canada, France, and the U.K. would be edged out of the top 10 global economies.
Not so fast: Different measurements keep the U.S. on top
It's important to note that the report forms its predictions by measuring PPP at GDP, while some economists would use market exchange rates instead of PPP (you can read about the differences in these economic approaches here).
"By [using simple market exchange rates] the U.S. is still today the world's biggest economy, with a $7 trillion lead over China," wrote Ben Chu for The Independent. "Using market exchange rates rather than PPP would also most likely change the 2030 picture. The International Monetary Fund does not forecast beyond 2023, but at this date the Fund thinks the U.S. will still be the world's largest economy at market exchange rates and that the U.K. will still have a comfortable lead over the likes of Indonesia, Turkey, Brazil, Russia and the rest with little evidence of catchup."
Chu continued: "The reason why China is larger than the U.S. at PPP exchange rates is because it has a population four times larger. If one measures GDP at PPP per person a very different picture emerges, with China on $18,000 and the US on $63,000."
What's more, the most important thing to keep in mind when considering these kinds of economic predictions is probably the fact that none of these measurements necessarily gives you an accurate picture of the standards of life in a given country. So, just because a country has a bigger economy doesn't necessarily mean it has more freedom, higher wellbeing or better institutions.
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.
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.