I will be doing a Conversation with him, here is part of his Wikipedia page:
Prum describes himself as “an evolutionary ornithologist with broad interests in diverse topics,” including phylogenetics, behavior, feathers, structural coloration, evolution and development, sexual selection, and historical biogeography.
Prum holds that birds are the living descendants of theropod dinosaurs, a once disputed finding that is now almost universally accepted in the ornithological and evolutionary biology scientific communities.
Prum grew up in rural Vermont and took his bachelor’s degree at Harvard in 1983, and received his Ph.D. in 1989 from the University of Michigan. After gradually losing his hearing throughout the early 1990s due to illness, Prum moved from primarily doing field work to conducting research on plumage pigmentation, feather evolution, and Darwin‘s sexual selection theory. He released a book in 2017 on the role of beauty in natural selection: The Evolution of Beauty: How Darwin’s Forgotten Theory of Mate Choice Shapes the Animal World – And Us.
So what should I ask him?
Zeke Emanuel, a professor of healthcare management at the University of Pennsylvania and a former coronavirus adviser to US president Joe Biden, said: “I understand they wanted to be transparent, but did they really have to announce a complete pause? “My concern is this will unnecessarily undermine confidence in the vaccine, and possibly all [Covid-19] vaccines. Are people going to know the difference?”
Amesh Adalja, a senior scholar at the Johns Hopkins Center for Health Security in Baltimore, said: “The damage is done, this is going to be hard to resume. All [the CDC] can do is say how rare this is, show how safe and efficacious the J&J vaccine is. But this action is going to be hard to reverse.”
Here is the full FT piece. Since lives are at stake, how about this for a proposal? The FDA is allowed to suspend the use of any positive expected value vaccine only after running an RCT on their underlying theory of credibility and public risk communication in the relevant context. (NB: asking about attitude change is not nearly good enough!) And after they run the RCT, they have to wait three weeks to schedule the meeting on evaluating the data. After all, that is how long it takes, right?
Estamos de acuerdo?
By the way, one reader wrote to me: “I submit to you that the credibility of the FDA on the relative safety of various vaccines may be a minor issue in the pool of issues that prevent the level of vaccinations we would like to see.” Do we even know if that is true or false?
Yes this is being asserted with a straight face and indeed it might be true!:
To reliably achieve deep decarbonization of the US power sector, a candidate policy must perform robustly across a range of possible future trajectories of demand, fossil fuel prices, and prices of new wind and solar capacity. Using a modified version of the NREL ReEDS model with scenarios that span different trajectories of demand, fuel prices, and technology costs, we find that some recently proposed policies can robustly achieve 80% decarbonization (relative to 2005 emissions) or more by 2035, but many do not. The two robustly successful policies are a tradeable performance standard (TPS) and a hybrid Clean Electricity Standard (CES) with a 100% clean target, partial crediting of gas generation, and a $40/mton CO2 alternative compliance payment (ACP) backstop. Both are nearly as cost effective as the emissions-equivalent efficient policy. A $40 carbon tax nearly achieves the robust 80% threshold and, in most scenarios, drives deep decarbonization. A 90% CES (without partial crediting) fails to achieve robust 2035 decarbonization because it need not drive coal out of the system. Simply extending renewable energy tax credits, which are set to expire, does not drive significant decarbonization in most scenarios, nor does relying on increased ambition in green-leaning states.
That is from a new NBER paper by James H. Stock and Daniel N. Stuart. The big problem remains global, of course, not to mention the political economy of these reforms, which are unlikely to be popular even in the Democratic Party and also would face massive regulatory hurdles at federalistic levels. Still, ten years ago I would not have expected to be at a point where such claims could be made by well-respected economists.
2 hours 9 minutes long, Lex is one of the very best interviewers/discussants in the sector. Here is the video, here is the audio. Plenty of new topics and avenues, including the political economy of Russia (note this was recorded before the massing of Russian forces on the Ukraine border). Lex’s tweet described it as follows:
Here’s my conversation with @tylercowen about economic growth, resisting conformity, the value of being weird, competition and capitalism, UFO sightings, contemporary art, best food in the world, and of course, love, death, and meaning.
NYTimes: The Centers for Disease Control and Prevention and the National Institutes of Health announced a new initiative on Wednesday to help determine whether frequent, widespread use of rapid coronavirus tests slows the spread of the virus.
The program will make rapid at-home antigen tests freely available to every resident of two communities, Pitt County, N.C., and Hamilton County, Tenn., enough for a total of 160,000 people to test themselves for the coronavirus three times a week for a month.
“This effort is precisely what I and others have been calling for nearly a year — widespread, accessible rapid tests to help curb transmission,” said Michael Mina, an epidemiologist at Harvard University who has been a vocal proponent of rapid, at-home testing programs.
Imagine a parallel universe where Americans were tested massively, constantly, without care for cost, while those who tested negative continued more or less about their daily life.
In fact, that parallel universe exists. It’s the National Football League.
..After an October outbreak, the NFL moved to daily testing of all its players and instituted new restrictions on player behavior and stricter rules on ventilation and social distancing. The league also used electronic tracking bracelets to trace close contacts of people who tested positive. Throughout the season, the NFL spent about $100 million on more than 900,000 tests performed on more than 11,000 players and staff members. In January, the CDC published an analysis of the league that concluded, “Daily testing allowed early, albeit not immediate, identification of infection,” enabling the league to play the game safely.
You could write off the NFL’s season as the idiosyncratic achievement of a greedy sport with nearly unlimited resources. But I can think of another self-interested institution with nearly unlimited resources: It’s the government of a country with a $20 trillion economy and full control over its own currency. Unlike the NFL, though, the U.S. never made mass testing its institutional priority.
“The NFL was almost like a Korea within the United States,” Alex Tabarrok told me. “And it’s not just the NFL. Many universities have done a fabulous job, like Cornell. They have followed the Korea example, which is repeated testing of students combined with quick isolation in campus dorms. Mass testing is a policy that works in practice, and it works in theory. It’s crazy to me that we didn’t try it.” Tabarrok said we can’t be sure that a Korean or NFL-style approach to national testing would have guaranteed Korean or NFL-style outcomes. After all, that would have meant averting about 500,000 deaths. Rather, he said, comprehensive early testing was our best shot at reducing deaths and getting back to normal faster.
I saw that circulating as an April Fool’s joke, but is it such a crazy idea? Here would be a few effects:
1. Submissions would decline, thus liberating some time for editors and referees. This is valuable in its own right, and furthermore remaining decisions might be made with greater care. And presumably the remaining submissions would be those with a higher chance of acceptance.
2. To some extent departments would pick up the submission fee. This would favor researchers in wealthier departments, though whether this is good or bad I am not sure. And even the most flush departments would find this pretty steep and I don’t think would offer carte blanche reimbursement.
3. It would favor senior and wealthier colleagues over junior colleagues. That sounds bad to most people, but is it? Favoring the wealthier senior colleagues might help limit the arms race for “here is my 90-page paper that has performed every possible cross-check of the results.” It also might lower the return to technique, as younger researchers tend to be more up on the latest math but they are also less broad and by definition less experienced.
4. Graduate students in particular would be less likely to submit, especially from lower-tier departments. It would be harder for job candidates from the non-top schools to prove themselves by publishing in the AER.
5. Papers would be “shopped around” more to seminars before being submitted.
6. Papers would become longer, which is probably a bad thing.
7. It might select for overconfident economists from wealthier families.
8. The AER would no longer “get all the best papers,” at least as such things are perceived. That could very well be good! Why should one journal have such a lock?
Would the AEA take in more revenue with this plan?
What else? What is in fact the optimal submission fee for a journal where publications can be worth tens of thousands of dollars (or sometimes much more) there? Why should the authors/submitters be charged so little?
Sea level rise will cause spatial shifts in economic activity over the next 200 years. Using a spatially disaggregated, dynamic model of the world economy, this paper estimates the consequences of probabilistic projections of local sea level changes. Under an intermediate scenario of greenhouse gas emissions, permanent flooding is projected to reduce global real GDP by 0.19 percent in present value terms. By the year 2200, a projected 1.46 percent of the population will be displaced. Losses in coastal localities are much larger. When ignoring the dynamic response of investment and migration, the loss in real GDP in 2200 increases from 0.11 percent to 4.5 percent.
That newly published paper is from Klaus Desmet, Robert E. Kopp, Scott A. Kulp, Dávid Krisztián Nagy, Michael Oppenheimer, Esteban Rossi-Hansberg and Benjamin H. Strauss in American Economic Journal: Macroeconomics. Am I wrong to feel a little…underwhelmed by those estimates? Here is an earlier recent paper on other cost estimates.
Robin Hanson has a long and very interesting blog post on that question. The point is not to argue that the UFOS are alien beings of some kind, but rather if they were which kinds of theories might help us understand them? Here is just part of Robin’s much longer take:
If the main block to believing in UFOs as aliens is a lack of a plausible enough social theory of aliens, then it seems a shame that almost no one who studies UFOs is a social science theorist. So as such a person, why don’t I step in and try to help? If we can find a more plausible social theory, we could become more willing to believe that UFOs are aliens…
Stylized fact #2: Aliens are rare and self-limited, and yet are here now.
Indirection – We can think of a number of plausible motives for rare limited aliens to make an exception to visit us. First, they may fear us as rivals, and so want to track us and stand ready to defend against us. Second, if their limitation policies are intentional, then they’d anticipate our possibly violating them, and so want to stand ready nearby to enforce their limitation policies on us.
In either of these two cases, aliens might want to show us their power, and even make explicit threats, to deter us from causing problems. And there’s the question of why they don’t just destroy us, instead of waiting around. Third, independent alien origins could be a rare valuable datapoint about far-more-capable aliens who they may fear eventually meeting. In this case they’d probably want to stay hidden longer.
My best bet is this. The vehicles would be “unmanned” drone probes, if only because the stresses of long trips through space would keep the actual alien beings close to home. So the relevant social science question is what kind of highly generalized software instructions you would give such drones. “Seek out major power sources, including nuclear, and seek out rapid flying objects, and then send information back home” would be one such set of instructions roughly compatible with the stylized facts on the ground (or in the air). Of course the information sent back to alien worlds will not be arriving for a very, very long time, so long that the concrete motives of the aliens may not be the major consideration. Collecting the information about other planets across some very long time frame might simply seem worthwhile, relative to the cheap cost of the drone probes. It reminds me a bit of that “put the DNA of all the species on the moon” project we have started, or those seed banks up in the Arctic. Why exactly did we do it? Why not I say!? And yet most humans do not even know those projects are going on.
A further generalized software instruction would be “if approached or confronted, run away fast.” Indeed that is what those flying vehicles seem to do.
The drone probes do not destroy us, because of Star Trek-like reasons: highly destructive species already have blown themselves up, leaving the relatively peaceful ones to send drones around. The drones probably are everywhere, in the galactic sense that is. Yet given the constraints imposed by the speed of light, it is difficult to do much with them that is very useful to the decision-makers that send (sent?) them out. So the relevant theory is one of how advanced civilizations allocate their surplus when there is a lot of discretion and not much in the way of within-lifetime costs and benefits to determine a very particular set of plans and goals. Not even for the grandkids.
In this hypothesis, of course, you have to be short immortality. And short usable wormholes.
By the way, don’t those photos of the drone probes make them look a bit like cheap crap? No tail fins, no “Close Encounters of the Third Kind” music signature, no 3-D holograms, just a superfast vehicle. Like something a second-rate alien non-profit picked up at the local Walmart and sent off into space en masse with solar-powered self-replication. Which is consistent with the view of them being a discretionary resource allocation stemming from projects with fairly fuzzy goals.
A problematic question for any theory is whether competing drone navies have come to visit us, and if so are they fighting over the spoils? Colluding? Hiding from each other? Or what? If aliens are afoot, why should it be only one group of them? That would seem strange, as in most things there are multitudes, at least speaking in Bayesian terms. Aren’t there at least both Klingon probes and Romulan probes, maybe Federation probes too.
Robin’s hypothesis, that they are elatively local panspermiacs, who feel some stake in us, appeals to me. Bayesian logic suggests in any case that the chance of us having resulted from panspermia is pretty high; there are lots of baby civilizations for each parent, so why deny you are probably a baby?
Perhaps our visitors are exercising some “mood affiliation” in wishing to visit and record us! They could be the parents, or perhaps another baby civilization.
Of course since the photos are of such poor quality, and since there is no corroborating evidence of any kind, these UFO sightings probably are not of alien creations, so all of this is pure fantasy anyway.
What happens in the 4 mo between when an NIH grant is submitted and when it is sent to reviewers? This makes applications stale before review. COVID grants being reviewed now were submitted before any phase 3 vaccine results — an eternity ago. Can this lag be shortened?
— Craig Wilen (@WilenLab) March 28, 2021
This is why we did Fast Grants.
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.