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Hey Bill Nye! Is It Possible to Ask Too Many Questions?
When Mike asks Bill Nye the Science Guy if asking too many questions is really a thing, Nye responds with a surprising answer.
Bill Nye, scientist, engineer, comedian, author, and inventor, is a man with a mission: to help foster a scientifically literate society, to help people everywhere understand and appreciate the science that makes our world work. Making science entertaining and accessible is something Bill has been doing most of his life.
In Seattle Nye began to combine his love of science with his flair for comedy, when he won the Steve Martin look-alike contest and developed dual careers as an engineer by day and a stand-up comic by night. Nye then quit his day engineering day job and made the transition to a night job as a comedy writer and performer on Seattle’s home-grown ensemble comedy show “Almost Live.” This is where “Bill Nye the Science Guy®” was born. The show appeared before Saturday Night Live and later on Comedy Central, originating at KING-TV, Seattle’s NBC affiliate.
While working on the Science Guy show, Nye won seven national Emmy Awards for writing, performing, and producing. The show won 18 Emmys in five years. In between creating the shows, he wrote five children’s books about science, including his latest title, “Bill Nye’s Great Big Book of Tiny Germs.”
Nye is the host of three currently-running television series. “The 100 Greatest Discoveries” airs on the Science Channel. “The Eyes of Nye” airs on PBS stations across the country.
Bill’s latest project is hosting a show on Planet Green called “Stuff Happens.” It’s about environmentally responsible choices that consumers can make as they go about their day and their shopping. Also, you’ll see Nye in his good-natured rivalry with his neighbor Ed Begley. They compete to see who can save the most energy and produce the smallest carbon footprint. Nye has 4,000 watts of solar power and a solar-boosted hot water system. There’s also the low water use garden and underground watering system. It’s fun for him; he’s an engineer with an energy conservation hobby.
Nye is currently the Executive Director of The Planetary Society, the world’s largest space interest organization.
Mike: Hi Bill. My name is Mike and I get told a lot that I ask too many questions. So my question to you is what do you think would be different if we as a culture were more encouraging of asking questions and being inquisitive and trying to learn, trying to understand things, especially with kids?
Bill Nye: This is a great question. Can you ask too many questions? I mean, hypothetically, you cannot ask too many questions. You cannot investigate too thoroughly. Could you possibly? However, what your friends may be responding to is something a little different. If somebody is trying to execute a task, let's say sew on a button, and you ask this person, "Why are you sewing on a button? Why are you using thread to sew on a button? Why are you using a needle and thread to sew on a button?" The person would think that you're not paying attention. This is possible that you're not thinking for yourself, that you're not using your own common sense. I'm not saying that's what's happening, but you reported at the top of your little segment here that people say you ask to many questions. I don't know. In other words, it could be a social-interaction thing. If you were sewing on a button, in general you're doing it because the button fell off or the button was never put on the piece of clothing in the first place and you're using a needle and thread because that is our current button-attaching technology. There are other technologies. Little plastic strings but they're not nearly as aesthetically pleasing as thread. I mention this only by way of example. Along this line if you — I'm in New York right now and it's the holiday season and on a very famous department store, it says, "Believe in the holiday season. Wouldn't it be better or how would it be different if it said, "Question"? That's a good question, man of questions, but be aware of your surroundings. Be aware of social interactions. Don't annoy people. Carry on.
"Hypothetically," says Bill Nye, "you cannot ask too many questions. You cannot investigate too thoroughly." But the world is not a hypothetical place; it is a real place with real people trying to solve real problems. Prolonged interrogation is a part of that formula, but it cannot be the only part. Nye says that in the social realm, tasks like sewing on a button do not deserve complex philosophical speculation — at least to the person trying to sew the button they don't! The Science Guy supplies a complex answer given his own penchant for scientific investigation, but it's a wonderful reminder of the context in which science occurs, i.e., a very human context.
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.