Another one from the Department of Uh-Oh:
Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many‐analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large differences in data preparation and analysis decisions, many of which would not likely be reported in a publication. No two replicators reported the same sample size. Statistical significance varied across replications, and for one of the studies the effect’s sign varied as well. The standard deviation of estimates across replications was 3–4 times the mean reported standard error.
In the early 1930s, so the story goes, Albert Einstein was in Hollywood, entertaining a visit by a friend, the comedian Charlie Chaplin. They were enjoying some tarts baked by Elsa Einstein and idly chatting when Einstein’s son turned to Chaplin. “You are popular,” he said, “because you are understood by the masses. On the other hand, the professor’s popularity with the masses is because he is not understood.”
That is from Charles Seife’s new book Hawking Hawking: The Selling of a Scientific Celebrity.
Using a survey of 7218 professors in PhD-granting departments in the United States across eight disciplines in STEM, social sciences, and the humanities, we find that the estimated median childhood household income among faculty is 23.7% higher than the general public, and faculty are 25 times more likely to have a parent with a PhD. Moreover, the proportion of faculty with PhD parents nearly doubles at more prestigious universities and is stable across the past 50 years.
Here is the audio, video, and transcript. Here is part of the summary:
She joined Tyler to discuss what caused the Bronze Age Collapse, how well we understand the level of ancient technologies, what archaeologists may learn from the discovery of more than a hundred coffins at the site of Saqqara, how far the Vikings really traveled, why conservation should be as much of a priority as excavation, the economics of looting networks, the inherently political nature of archaeology, Indiana Jones versus The Dig, her favorite contemporary bluegrass artists, the best archeological sites to visit around the world, the merits of tools like Google Earth and Lidar, the long list of skills needed to be a modern archeologist, which countries produce the best amateur space archeologists, and more.
Lots of talk about data issues and rights as well. Here is one excerpt:
COWEN: Here’s something that struck me studying your work. Give me your reaction. It seems to me your job is almost becoming impossible. You have to know stats. You have to know trigonometry. You have to know geometry. In your case, you need to know Egyptian Arabic, possibly some dialect, possibly some classical Arabic, maybe some other languages.
You have to know archaeology, right? You have to know history. You must have to know all kinds of physical techniques for unearthing materials without damaging them too much. You need to know about data storage, and I could go on, and on, and on.
Hasn’t your job evolved to the point where you’re almost . . . You need to know about technologies, right? For finding data from space — we talked about this before. That’s also not easy. Isn’t your job evolving to the point where, literally, no human can do it, and you’re the last in the line?
PARCAK: I am, I guess, jack of all trades, master of a few. But that’s not true either because I have to know the remote sensing programs. I have to know geographic information systems. I have to be up to date on international cultural heritage laws.
I think I’m not special by a long shot. Every archaeologist is a specialist. This archaeologist is a specialist in the pottery of this period of time, or does DNA, or excavates human remains — they’re bioarchaeologists — or they do computation. We all are specialists in a particular thing, but that’s really broad. My unsexy, more academic term is landscape archaeologist, so I’m interested in ancient human-environment interaction, which encompasses a lot of different fields and subfields. I’ve taken many courses in geology.
All of us who study Egyptology — we do a lot of training in art history because, of course, the iconography and the art and the objects that we’re finding. It takes a lot, but I would say most of the knowledge I’ve gotten is experiential. It’s from being in the field, I’ve visited hundreds of museums. I’ve spent countless hours in museum collections learning, touching objects.
Yeah, it’s a lot, but it’s also the field of archaeology. That’s why so many people really love it — because you get to touch on so many different areas. I would never, for example, consider myself a specialist in bioarchaeology. I know a tibia. When I find pitting on a skull, I know what that could potentially mean.
But also, I’m in a position now where I’m a dig director, so that means I’m in charge of a large group of humans, most of whom are far smarter, more capable than I am in whatever they’re doing. They’re specialists in pottery and bone, in rocks — project geologist — and conservation in art. We have project artists. We have specialists in excavation, and of course, there’s my very talented Egyptian team. They’re excavating. I’m probably a lot more of a manager now than I ever expected to be —
COWEN: And fundraiser perhaps, right?
One of my favorite CWTs in some time. And here is Sarah’s book Archaeology from Space: How the Future Shapes Our Past.
I have worried about related issues for some while, and now that someone has done the hard work I find the results disturbing and possibly significant:
Econometric models of temperature impacts on GDP are increasingly used to inform global warming damage assessments. But theory does not prescribe estimable forms of this relationship. By estimating 800 plausible specifications of the temperature-GDP relationship, we demonstrate that a wide variety of models are statistically indistinguishable in their out-of-sample performance, including models that exclude any temperature effect. This full set of models, however, implies a wide range of climate change impacts by 2100, yielding considerable model uncertainty. The uncertainty is greatest for models that specify effects of temperature on GDP growth that accumulate over time; the 95% confidence interval that accounts for both sampling and model uncertainty across the best-performing models ranges from 84% GDP losses to 359% gains. Models of GDP levels effects yield a much narrower distribution of GDP impacts centered around 1–3% losses, consistent with damage functions of major integrated assessment models. Further, models that incorporate lagged temperature effects are indicative of impacts on GDP levels rather than GDP growth. We identify statistically significant marginal effects of temperature on poor country GDP and agricultural production, but not rich country GDP, non-agricultural production, or GDP growth.
That is from Richard G Newell, Brian C. Prest, and Steven E. Sexton. Via the excellent Kevin Lewis.
Here is the full account.
Of course, there are national health systems in Canada, Mexico, England, and France, among many others, and the uniformity of failure across this heterodox group suggests that structure may have made less of a difference than culture.
“One of the common features is that we are a medical-centric group of countries,” says Michael Mina, a Harvard epidemiologist who has spent the pandemic advocating for mass rollout of rapid testing on the pregnancy-kit model — only to meet resistance at every turn by those who insisted on a higher, clinical standard for tests. “We have an enormous focus on medicine and individual biology and individual health. We have very little focus as a group of nations on prioritizing the public good. We just don’t. It’s almost taboo — I mean, it is taboo. We have physicians running the show — that’s a consistent thing, medical doctors across the western European countries, driving the decision-making.” The result, he says, has been short-sighted calculations that prioritize absolute knowledge about everything before advising or designing policy about anything.
…in East Asia, countries didn’t wait for the WHO’s guidance to change on aerosols or asymptomatic transmission before masking up, social-distancing, and quarantining. “They acted fast. They acted decisively,” says Mina. “They made early moves. They didn’t sit and ponder: ‘What should we do? Do we have all of the data before we make a single decision?’ And I think that is a common theme that we’ve seen across all the Western countries—a reluctance to even admit that it was a big problem and then to really act without all of the information available. To this day, people are still not acting.” Instead, he says, “decision-makers have been paralyzed. They would rather just not act and let the pandemic move forward than act aggressively, but potentially be wrong.”
This, he says, reflects a culture of medicine in which the case of the individual patient is paramount.
Here is more from David Wallace-Wells, interesting throughout and with a cameo from yours truly.
A “lunar ark” hidden inside the moon’s lava tubes could preserve the sperm, eggs and seeds of millions of Earth’s species, a group of scientists has proposed.
The ark, or gene bank, would be safely hidden in these hollowed-out tunnels and caves sculpted by lava more than 3 billion years ago and would be powered by solar panels above. It would hold the cryogenically preserved genetic material of all 6.7 million known species of plants, animals and fungi on Earth, which would require at least 250 rocket launches to transport to the moon, according to the researchers.
Excellent video based on new paper. An amazing mystery solved with history, science, mathematics and engineering. Only one step remains which is to produce it using ancient technology.
That is the theme of my latest Bloomberg column, here is one excerpt:
More than 10 million people die each year from air pollution, according to a new study — far more than the estimated 2.6 million people who have died from Covid-19 since it was detected more than a year ago. And while Covid is headline news, ordinary air pollution remains a side issue for policy wonks and technocrats.
[To be clear, I am not seeking to minimize Covid as a major issue.] And:
Why aren’t these deaths a bigger issue in U.S. political and policy discourse? One reason may be that 62% of those deaths are in China and India. The number of premature deaths due to particulate matter in North America was 483,000, just slightly lower than the number of measured deaths from Covid to date. An estimated 876 of those deaths were of children under the age of 4.
Another reason for the weak political salience of the issue may be its invisibility. Air pollution causes many deaths. But it is rare to see or read about a person dying directly from air pollution. Lung cancer and cardiac disease are frequently cited as causes of death, even though they may stem from air pollution.
Another problem is that the question of how to better fight air pollution does not fit neatly into current ideological battles. You might think Democrats would emphasize this issue, but much of the economic burden of tougher action would fall on the Northeast, a largely Democratic-leaning area.
And exactly how many people die each year from global warming? Why not have a greater focus on ordinary air pollution?
Here goes, here is one good excerpt of many:
Isaac Asimov’s New Guide to Science. I read that when I was 13 or 14 and thought it was just amazing. (I was an exchange student in Germany at the time. I didn’t learn much German but I did have my eyes opened to many aspects of science that I previously knew nothing about!) Some of John Gribbin’s books, like In Search of Schrödinger’s Cat, really inspired me. Douglas Hofstadter — especially Metamagical Themas. (I read GEB when I was a teenager but found it a bit of a slog.) But, honestly, I think I was always interested in creating technology to some extent. I spent hours and hours playing with Lego when I was young and then transitioned pretty quickly to programming. I remember being pretty certain that I’d love programming before I’d ever written a line of code and, sure enough, I did. So, maybe it’s just something about how my mind is wired.
Overall, my single biggest science policy suggestion would be to pursue far greater structural diversity in our mechanisms. More different kinds of grant making institutions, more different kinds of research organizations, more different career paths for participants, etc. That’s not easy to do — bureaucracies by their nature seek to standardize which this fosters homogeneity. So, to the extent that the Endless Frontier Act can bring us closer to a more structurally varied world, I’m probably supportive relative to the status quo. My biggest qualm would probably be that it combines regional development policy with scientific policy. While the political merit is easy to see, I’m not sure that that’s a good idea. Talent clusters are real and I think it probably makes more sense to think about how best to improve those clusters than it does to foster underdog competitors.
Recommended, interesting throughout.
Canada’s National Advisory Committee on Immunization (NACI), a scientific advisory group to the government, has made a forceful and dramatic statement strongly favoring First Doses First (delay the second dose.) This is a very big deal for the entire world. Basically NACI have endorsed everything that Tyler and I have said on First Doses First since my first post tentatively raised the issue on December 8. I am going to quote this statement extensively since it’s an excellent summary. No indentation.
Based on emerging evidence of the protection provided by the first dose of a two dose series for COVID-19 vaccines currently authorized in Canada, NACI recommends that in the context of limited COVID-19 vaccine supply jurisdictions should maximize the number of individuals benefiting from the first dose of vaccine by extending the second dose of COVID-19 vaccine up to four months after the first. NACI will continue to monitor the evidence on effectiveness of an extended dose interval and will adjust recommendations as needed. (Strong NACI Recommendation)
- In addition to emerging population-based data, this recommendation is based on expert opinion and the public health principles of equity, ethics, accessibility, feasibility, immunological vaccine principles, and the perspective that, within a global pandemic setting, reducing the risk of severe disease outcomes at the population-level will have the greatest impact. Current evidence suggests high vaccine effectiveness against symptomatic disease and hospitalization for several weeks after the first dose, including among older populations.
- By implementing an extended four month interval strategy, Canada will be able to provide access to first doses of highly efficacious vaccines to more individuals earlier which is expected to increase health equity faster. Canada has secured enough vaccines to ensure that a second dose will be available to every adult.
- As a general vaccination principle, interruption of a vaccine series resulting in an extended interval between doses does not require restarting the vaccine series. Principles of immunology, vaccine science, and historical examples demonstrate that delays between doses do not result in a reduction in final antibody concentrations nor a reduction in durability of memory response for most multi-dose products.
- Assessment of available data on efficacy and effectiveness of a single dose of mRNA vaccine was a critical factor in assessing the impact of a delayed second dose at this time. The two available clinical trials for mRNA vaccines (Pfizer-BioNTech and Moderna) provide evidence that indicates that efficacy against symptomatic disease begins as early as 12 to 14 days after the first dose of the mRNA vaccine. Excluding the first 14 days before vaccines are expected to offer protection, both vaccines showed an efficacy of 92% up until the second dose (most second doses were administered at 19-42 days in the trials). Recently, real world vaccine effectiveness data presented to or reviewed by NACI assessing PCR-positive COVID-19 disease and/or infection from Quebec, British Columbia, Israel, the United Kingdom and the United States support good effectiveness (generally 70-80%, depending on the methodology used and outcomes assessed) from a single dose of mRNA vaccines (for up to two months in some studies). While studies have not yet collected four months of data on effectiveness of the first dose, the first two months of population-based effectiveness data are showing sustained and high levels of protection. These data include studies in health care workers, long term care residents, elderly populations and the general public. While this is somewhat lower than the efficacy demonstrated after one dose in clinical trials, it is important to note that vaccine effectiveness in a general population setting is typically lower than efficacy from the controlled setting of a clinical trial, and this is expected to be the case after series completion as well.
- Published data from the AstraZeneca clinical trial indicated that delaying the second dose to ≥ 12 weeks resulted in a better efficacy against symptomatic disease compared to shorter intervals between doses.
- The duration of protection from one or two doses of COVID-19 vaccines is currently unknown. Experience with other multi-dose vaccines after a single dose suggests persistent protection could last for six months or longer in adolescents and adults. Longer-term follow-up of clinical trial participants and those receiving vaccination in public programs will assist in determining the duration of protection following both one and two doses of vaccination. NACI will continue to monitor the evidence on effectiveness of an extended interval, which is currently being collected weekly in some Canadian jurisdictions, and will adjust recommendations as needed if concerns emerge about waning protection.
- Although effectiveness after two-doses will be somewhat higher than with one dose, many more people will benefit from immunization when extending the interval between doses in times of vaccine shortage; offering more individuals direct benefit and also the possibility of indirect benefit from increasing population immunity to COVID-19 disease. Everyone is expected to obtain the full benefit of two doses when the second dose is offered after 4 months.
- Internal PHAC modelling reviewed by NACI based on Canadian supply projections suggested that accelerating vaccine coverage by extending dose intervals of mRNA vaccines could have short-term public health benefits in preventing symptomatic disease, hospitalizations, and deaths while vaccine supply is constrained. Even a theoretical scenario analysis in which intervals were extended up to six months and protection was lost at a rate of 4% per week after the first dose also showed that extending the mRNA vaccine dose intervals would still have public health benefits. External modelling results have also suggested that extending dose intervals can avert infections, hospitalizations and deaths.
- The impact on variants of concern by extending the interval between doses is unknown, but there is currently no evidence that an extended interval between doses will either increase or decrease the emergence of variants of concern. COVID-19 mRNA vaccines and AstraZeneca vaccine have shown promising early results against variant B.1.1.7. As effectiveness of the first dose against other variants of concern is emerging, ongoing monitoring will be required.
- Vaccine distribution will be optimized through this strategy, and current vaccine supply projections will work well with an extended dose strategy that aims to immunize as many Canadians as efficiently as possible. Extending the dose intervals for mRNA vaccines up to four months has the potential to result in rapid immunization and protection of a large proportion of the Canadian population….
I’m pretty convinced that even with business as usual carbon emissions will drop like an anvil in most developed countries over the next decade.
Solar panels are getting so cheap, new plants will add many more panels than what their grid connection can handle. The industry refers to this as a high DC:AC ratio. You might have 300 MW of panels (DC) for 100 MW of inverters (AC). This means even when it is cloudy you are sending power to the grid at 100% of AC capacity. And you can produce at high output later into the evening. This makes solar firm power. In many ways this firm solar is more reliable than an analog fossil power plant. Most new projects also include batteries. They charge on DC so they can use some of the excess power during the day and then use the same inverter and grid connection to sell into the evening peaks. I’m not sure many people have fully internalized this change yet. Off grid folks have started doing it at a small scale, because it is cheaper to add more solar than buy more batteries to get through cloudy periods. You only need enough batteries to get you through the night.
Offshore wind is also going to be pretty incredible. The taller the turbine, the more reliable and predictable its power output. Onshore is limited by needing to truck the parts. Offshore is not limited and there are 10+ MW turbines coming out where onshore is usually no larger than 2.5 MW. It is technically challenging to keep going bigger, but some think it will go as high as 50 MW monster turbines. All three major US grids could have access to this resource. Instead of a 30% capacity factor for onshore, big offshore can be up in the 60% type numbers.
If you overbuild capacity, like using a high DC:AC ratio, there will be a lot of cheap DC power out there to use. Water electrolyzers to make hydrogen use DC. Hydrogen is a terrible vehicle fuel, but it is a good industrial feedstock. Eventually it may be converted to methane for use in homes and power plants.
If you do the learning curve math, any vehicle driving over 25,000 miles a year will be able to switch to electric and still be cheaper than running an existing, depreciated gasoline or diesel vehicle by 2030. There will still be lots of gasoline cars out there, but the average miles a gasoline car drives per year will drop a lot.
There is a lot of hoopla about ERCOT and what regulations and capacity should be. Unless most customers are exposed to real time incentives, any grid will always have periods of outages. Trying to get to 100% reliability only on the supply side is probably impossible and gets increasingly expensive.
Improvements in building heat, industrial, agriculture, and non-road transportation are harder for both political and technical reasons. Nuclear powered freighters, please! But cheap electricity and hydrogen would make them much easier to solve. You may have to live with ship and plane emissions or use direct air capture for those.
Part of me really believes we will be back to pre industrial CO2 concentrations somewhere between 2070 and 2100. There will be shortages of carbon as fossil fuel (soon to be a misnomer!) production rebounds and is stretched for use as material feedstocks. If that doesn’t happen, it will be a terrible slow growth tragedy.
That is from an email by…Austin Vernon.
Patricia Fara is a historian of science at Cambridge University and well-known for her writings on women in science. Her forthcoming book, Life After Gravity: Isaac Newton’s London Career, details the life of the titan of the so-called Scientific Revolution after his famous (though perhaps mythological) discovery under the apple tree. Her work emphasizes science as a long, continuous process composed of incremental contributions–in which women throughout history have taken a crucial part–rather than the sole province of a few monolithic innovators.
Patricia joined Tyler to discuss why Newton left Cambridge to run The Royal Mint, why he was so productive during the Great Plague, why the “Scientific Revolution” should instead be understand as a gradual process, what the Antikythera device tells us about science in the ancient world, the influence of Erasmus Darwin on his grandson, why more people should know Dorothy Hodgkin, how George Eliot inspired her to commit unhistoric acts, why she opposes any kind of sex-segregated schooling, her early experience in a startup, what modern students of science can learn from studying Renaissance art, the reasons she considers Madame Lavoisier to be the greatest female science illustrator, the unusual work habit brought to her attention by house guests, the book of caricatures she’d like to write next, and more
And here is one excerpt:
COWEN: Let’s start with Isaac Newton. How was it that he died rich?
FARA: He earned his money from several different ways. When he went down to London, he had far more than he ever did as a Cambridge professor because he was running the London Mint. He got a fat salary for that. He also got a premium, a reward for every single gold coin that was minted.
He invested in global trading companies like the East India Company, for example, that were sending guns and textiles out to Africa and then shipping enslaved peoples over to the Americas.
He also invested in other stock market companies. There was this famous occasion — it’s the anniversary this year of what’s called the South Sea Bubble — when he invested a small fortune in a new company, the South Sea Company, and he watched the levels rise, and he stayed in there, and he sold when the stocks had gone up. He made a small fortune, but then he made the classic beginner’s error. He invested in again at a higher price, and he watched the value crash.
So he did lose several million in today’s currency on that particular venture. But in general, when he died, he was an extremely rich man, and you can tell that — the inventory of his possessions runs to a vellum scroll that’s 17 feet long.
COWEN: What was it that he collected so obsessively to have all these possessions?
FARA: Well, a lot of it was equipment for catering. He’s got this reputation for being very antisocial, but he had hundreds of plates and sets of cutlery and things like that. He also had that ultimate Georgian luxury: he owned two silver chamber pots.
He spent money on having a good number of portraits of himself painted that he would send out to other people as bribes or as rewards for their allegiance to him. He had furniture. He had decorations. He had a carriage. He had a sedan chair tucked in the stables. He had lots of servants.
On Newton’s time at The Royal Mint
COWEN: Now, as you know, Newton spends what, over 30 years working at the Mint?
COWEN: What’s your model of why he did this? How much was it for income? Did he think he was done with major contributions, say, to physics and optics? How do you think about that decision in his life?
FARA: I think he was very frustrated with being at Cambridge. He applied for several positions there, which he didn’t get. In theological terms, he was rather at odds with everybody else at Cambridge because he was a very, very devout believer in God, but he didn’t adhere to the traditional, to the orthodox Anglican theological belief in the Trinity, so that was difficult for him.
He’d been trying to leave Cambridge for some time, and he had a very close friend, Charles Montagu, the Earl of Halifax, who was Chancellor of the Exchequer, very influential man. He managed to find Newton this very prestigious job at the Mint that paid a good salary. The minute Newton heard about it, he downed tools at Cambridge, rushed down to London, and he moved and started a new life within a few months.
…COWEN: What do you think about Newton’s basic idea on silver recoinage — bring in all the silver coins, melt them down, reissue at a lower value? Was he right about that or not? Or do you side with John Locke?
Recommended, interesting throughout.
Over the summer of 2020, as coronavirus cases fell and life in Britain felt briefly normal, something very abnormal was happening to the country’s electricity supply. No coal was burned to generate any portion of it for a period of more than two months, something that had not happened since 1882. Britain’s four remaining coal-burning power plants are zombies, all but dead. Within a couple of years they will be closed and Britain will probably never burn coal for electricity again.
The elimination of power stations that burn coal has helped Britain cut its carbon emissions faster than any other rich country since 1990 (see charts). They are down by 44%, according to data collected by the Department for Business, Energy and Industrial Strategy (BEIS) during a period when the economy grew by two-thirds. Germany’s emissions, in contrast, are down by 29%; coal is still burned to generate some 24% of its electricity. Britain has made cuts to its emissions 1.8 times larger than the EU average since 1990. In America, emissions over the same period are up slightly.
Here is the full article from The Economist. I’ll say it again, whether it is AI, the Oxford/Astrazeneca vaccine, the speed of the current vaccination program, this switch to greener energy, the reemergence of Oxbridge, the new Dominic Cummings-inspired DARPA-like science funding plan, or London being the world’s best city — current Great Britain remains grossly underrated.