1. Larry Summers writes,
The question in assessing universal tax rebates is, what about the vast majority of families who are still working, and whose incomes have not declined or whose pension or Social Security benefits have not been affected by Covid-19? For this group, the pandemic has reduced the ability to spend more than the ability to earn.
In other words, we should not be applying conventional macroeconomics right now. Conventional macro sees as all working the same GDP factory, which is producing below capacity because of insufficient demand. Conventional macro says that it does not matter how the government directs spending, because any spending will inject more “aggregate demand.”
Even a conventional macroeconomist like Larry Summers is able to see that this model does not fit the current situation. I happen to think that conventional macroeconomics needs a much broader reassessment.
2. We continue to argue about asymptomatic spreading.
The secondary attack rate for symptomatic index cases was 18.0% (95% CI 14.2%-22.1%), and the rate of asymptomatic and presymptomatic index cases was 0.7% (95% CI 0%-4.9%), “although there were few studies in the latter group.” The asymptomatic/presymptomatic secondary attack rate is not statistically different from zero
Just run a test, for crying out loud.
3. Megan McArdle writes (WaPo),
Looking back over the past nine months, it’s as if the public health community deliberately decided to alienate large groups of Americans, usually in the name of saving someone else.
The World Health Organization told us travel bans don’t work, apparently because they harm tourist economies; then we were told masks don’t work, apparently because experts worried that hoarding them would leave health-care workers without personal protective equipment; the public health community fell suddenly silent about the dangers of large gatherings during the George Floyd protests; a presentation to a government advisory committee actually described thousands of potential additional deaths as “minimal” compared with pursuing racial and economic equity; Anthony S. Fauci admitted he’d been lowballing his estimates of the point at which we’ll reach herd immunity.
The Orwellian public health community notwithstanding, my nominee for villain of the crisis is the FDA, for two reasons.
First, the FDA placed a very high priority on accuracy in deciding whether to approve tests for the virus. For some purposes, such as estimating the prevalence of the virus, accuracy is a good thing. But for controlling the spread of the virus, an accurate test that takes a week to provide results is worthless. The FDA should have prioritized “faster and cheaper” over “reliable.”
Second, the FDA did not use human challenge trials (give one group the vaccine and one group the placebo, and then expose them to the virus). Instead it gave one group the vaccine and one group the placebo, and then waiting until enough people naturally were exposed to the virus to show efficacy. We could have been starting to take the vaccine in June, but instead we had to wait until now.
4. Mr. Biden got into the virus forecasting business a few days ago, saying that the U.S. will have 400,000 deaths by the time he is sworn in as President. According to this site, we had 329,000 as of December 29. To get to 400,000 by inauguration day, we would need to average about 3000 deaths per day. On a 7-day average basis, the highest that it has been is 2680 on December 22. It has been edging down over the past week. But if you are trying to forecast the closest round number, then 400,000 is right.
He rightly criticized the slow process of distributing the vaccine. If it were rationed by price rather than by government authorities, my guess is that there would not be such a large supply of vaccine sitting around waiting for someone to administer it.
5. Miles Kimball joins those of us criticizing peacetime bureaucrats.
Highly accurate tests whose results take many days to arrive are next to useless. But the US government was very slow to approve tests of lower accuracy that could have made a big difference because they gave results within minutes.
Pointer from Alex Tabarrok. He says that the problem is perfectionism. I think it’s blame-avoidance.
If you do something and harm results (e.g., somebody gets a wrong test result), then you can be blamed. If you do nothing (i.e., don’t allow fast but less-accurate tests), then the harm that results is God’s Will. It’s the trolley problem.