3,732 Matching Annotations
  1. Mar 2021
    1. (CNN)You're likely familiar with the tenets of Covid-19 prevention by now: Stay home when you can, keep 6 feet of distance from others when you're out and wear a mask if you're indoors or around other people. We've been told to do these things for so long -- around eight months now -- that they feel like second nature. But it can be tempting to relax and stop following these suggestions as stringently.
  2. Feb 2021
    1. Science policy issues have recently joined technology issues in being acknowledged to have strategic importance for national ‘competitiveness’ and ‘economic security’. The economics literature addressed specifically to science and its interdependences with technological progress has been quite narrowly focused and has lacked an overarching conceptual framework to guide empirical studies and public policy discussions in this area. The emerging ‘new economics of science’, described by this paper, offers a way to remedy these deficiencies. It makes use of insights from the theory of games of incomplete information to synthesize the classic approach of Arrow and Nelson in examining the implications of the characteristics of information for allocative efficiency in research activities, on the one hand, with the functionalist analysis of institutional structures, reward systems and behavioral norms of ‘open science’ communities-associated with the sociology of science in the tradition of Merton-on the other.An analysis is presented of the gross features of the institutions and norms distinguishing open science from other modes of organizing scientific research, which shows that the collegiate reputation-based reward system functions rather well in satisfying the requirement of social efficiency in increasing the stock of reliable knowledge. At a more fine-grain level of examination, however, the detailed workings of the system based on the pursuit of priority are found to cause numerous inefficiencies in the allocation of basic and applied science resources, both within given fields and programs and across time. Another major conclusion, arrived at in the context of examining policy measures and institutional reforms proposed to promote knowledge transfers between university-based open science and commercial R&D, is that there are no economic forces that operate automatically to maintain dynamic efficiency in the interactions of these two (organizational) spheres. Ill-considered institutional experiments, which destroy their distinctive features if undertaken on a sufficient scale, may turn out to be very costly in terms of long-term economic performance.
    1. The #AcademicTwitter story... And so it came to pass, that in less than one year, more than 100,000 articles had been published about #COVID19 #SARSCoV2... while shepherds watched their flocks and angels from the realms of glory winged their flight o'er the earth.
    1. Prepublication peer review should be abolished. We consider the effects that such a change will have on the social structure of science, paying particular attention to the changed incentive structure and the likely effects on the behaviour of individual scientists. We evaluate these changes from the perspective of epistemic consequentialism. We find that where the effects of abolishing prepublication peer review can be evaluated with a reasonable level of confidence based on presently available evidence, they are either positive or neutral. We conclude that on present evidence abolishing peer review weakly dominates the status quo.
    1. one reason for why that rule would seem adaptive more generally is that I have also experienced what seem like bad faith reviewers who are using the mushrooming preprint volume to indefinitely postpone manuscript acceptance (as in trendy areas there will invariably be 4/5
    2. the fundamental question that needs resolving is whether we treat non-peer reviewed preprints like we now treat published work. Personally, I have been citing non-peer review and hence not properly published work only where it has influenced the work I am reporting 3/5
    3. 2) it is not known and not cited- this seems ok from the perspective of the author, but should reviewers/journal be able to force inclusion? and 3) author knows work, but it played no role in own paper and is not cited. - appropriateness depends on answer to 2) ... 2/5
    4. A thread: This is an important issue as preprints become the norm. There seem to me several distinct cases: 1) preprint is known to authors, used but not cited - that is just 'stealing' same as with published work and unproblematic. 1/5
    1. The science around the use of masks by the public to impede COVID-19 transmission is advancing rapidly. In this narrative review, we develop an analytical framework to examine mask usage, synthesizing the relevant literature to inform multiple areas: population impact, transmission characteristics, source control, wearer protection, sociological considerations, and implementation considerations. A primary route of transmission of COVID-19 is via respiratory particles, and it is known to be transmissible from presymptomatic, paucisymptomatic, and asymptomatic individuals. Reducing disease spread requires two things: limiting contacts of infected individuals via physical distancing and other measures and reducing the transmission probability per contact. The preponderance of evidence indicates that mask wearing reduces transmissibility per contact by reducing transmission of infected respiratory particles in both laboratory and clinical contexts. Public mask wearing is most effective at reducing spread of the virus when compliance is high. Given the current shortages of medical masks, we recommend the adoption of public cloth mask wearing, as an effective form of source control, in conjunction with existing hygiene, distancing, and contact tracing strategies. Because many respiratory particles become smaller due to evaporation, we recommend increasing focus on a previously overlooked aspect of mask usage: mask wearing by infectious people (“source control”) with benefits at the population level, rather than only mask wearing by susceptible people, such as health care workers, with focus on individual outcomes. We recommend that public officials and governments strongly encourage the use of widespread face masks in public, including the use of appropriate regulation.
    1. Here’s the familiar news: governments around the world face a crisis of trust. Populations are increasingly polarized. Politicians struggle to make tough decisions that demand consensus and a long-term view.Less familiar is the fact that governments are increasingly turning to the public for help in decision-making, through deliberative processes such as citizens’ assemblies and juries — and it seems to be working. But now the events of 2020 have moved much of this online, and we shouldn’t take success for granted.
    1. Part II: "what do they know, why do ICU doctors speak about ICU beds, they're not the experts, why don't we rather listen to the economists, I personally don't know anyone who's on ICU right now, ICU treatment is done wrong anyway, and why don't you go back to your home country?"
    2. Swiss ICU doctors: "regular ICU beds full" Twitter: "No they're not, newspaper says no, there must be other beds they didn't count, all patients are false positive PCRs, ICUs are always full, ICUs are made to be full, ICU staff are lobbyists, just send more ICU patients home"
    1. Truly good news out of #Italy. And we can all use it. Cases (23K), positive rate (12.3%), and hospitalizations all DOWN. ICU occupancy with smallest increase in months. Deaths (not surprisingly) the one exception with 3rd highest total.
    1. Feb. "The coronavirus isn't going to kill you." May. "There hasn't been a 'second spike' anywhere." Jul. "Let's relax and accept the risk." Aug. "At what point do we declare the pandemic over?" Dec. "Without daily news would we even know there was an epidemic?" Meanwhile.
    1. 29/n If I re-run the meta-analysis they've purported to use with the correct numbers, we end up with this graph instead. A relative reduction in risk of death of 5% for every year of schooling This is A QUARTER of the estimate used in the study
    2. 28/n However you slice it, it's inappropriate to just bung these two estimates together into a model and treat them as separate. I would argue that the Mazumder paper is probably a better estimate, but either way what they've done here is wrong
    3. 27/n You see, Lleras-Muney compiled an estimate based on a number of factors on the reduction in risk from 1 year of extra schooling. Mazumder, three years later, took that same database and re-analyzed it considering additional factors, and estimated a lower reduction
    4. 25/n Mazumder (2008) did not find a relative risk of 0.65 (0-1.3), it found an RR of 0.89 (0.74-1.04) The paper is here. I've read it very carefully and this appears to be the main finding from the author https://chicagofed.org/publications/economic-perspectives/2008/2qtr2008-part1-mazumder
    5. 17/n At best, what we've got here is a very rough inference about what the impact of school closures could possibly have been (as long as US kids in 2020 are the same as Argentinians in 1977), compared to an undercount of the impact of what COVID-19 probably was
    6. 15/n Ultimately, what we get in the end - the "98.1% probability" figure - makes almost no sense at all. Even if the Argentinian study was applicable to the US situation, which it clearly isn't, the counterfactual is just inappropriate
    7. 8/n Note there that I said ASSOCIATION. This is a key point. The authors of this paper WARN AGAINST USING IT CAUSALLY because, among other issues, the data for children in Argentina in the 70s and 80s (especially schoolkids) was not great
    8. Ok, so I've had a read of this paper (which has been all over the news) that says quite explicitly that closing schools will probably cause more years of life lost than leaving them open in a pandemic Let's do some peer-review on twitter! 1/n