To frame this as "mask advocates" vs. "vaccine advocates" is to thoroughly miss the point.

Everyone on earth with access to vaccines should get vaccinated.

Masks are also a powerful tool against COVID, and you've misunderstood what our study says about them.
@MartinKuldorff
Firstly, our study does not say that masks can only prevent 11% of COVID. Our study says that our intervention -- which raised surgical mask-wearing from 13% to 43% -- prevented 11% of COVID cases, and 35% among age 60+.
To put the point on your own terms -- if you vaccinated 30% of the population, would you prevent 35% of cases age 60+?
I am not sure. In an apples to apples comparison, I suspect vaccines are more effective than masks. When available, vaccines are also lower cost (I'd rather get a jab than wear a mask for a year).
But we don't have to decide to use either masks or vaccines. Vaccines are enormously cost-effective and every dollar invested in getting more people vaccinated has enormous returns.
In many settings, masks are also enormously cost effective given status quo vaccination levels, especially where we still see cases growing and large numbers of people dying from COVID (including settings where vaccines are not available).
Secondly, you fixate on the fact that the p-value for our primary outcome is p = 0.043. And you suggest, given this, maybe our intervention did nothing.
This would be rhetorically irresponsible framing if you hadn't read the paper and only looked at a single regression result (which is what I suspect happened), but given the full set of results, it is indefensible.
In the very next table, we see that the impact on WHO-Defined COVID-19 symptoms has a p-value of 0.000. Why is the p-value larger for symptomatic seropositivity? Because we don't have blood test results for most of the symptomatic individuals (yes, we checked balance).
If you look further at the breakdown of results, you see a consistent pattern which is extremely unlikely to have arisen by chance.
Surgical masks tend to have bigger impacts than cloth masks, as you would expect given their higher filtration efficiency, and they are more impactful at older ages.
There are theoretical reasons we might see bigger effects at older ages. For example, the elderly tend to have fewer contacts, meaning that reducing the probability that any given contact transmits reduces the likelihood of having any transmitting contact by more (ht: @VC31415).
@VC31415 In summary, if you read our paper and your takeaway is that this is a disappointing result for masks rather than, "This is a cost-effective way to prevent many deaths", then you have misread the paper and you are not thinking about policy in a coherent way.
Tagging @MartinKulldorff correctly.

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More from @Jabaluck

13 Sep
This is a very important point -- masks prevent COVID and are valuable in places where many people are dying of COVID. Currently, this is many places.

However, that doesn't mean that a cost-benefit analysis suggests, "everyone should wear masks until COVID is eradicated"
The value of masks in places where nearly everyone is vaccinated is clearly lower. Caution is necessary since, in many parts of the world, the vaccines being used have lower efficacy than in the US, meaning that masks likely have value on top of vaccines.
Additionally, masks may prevent breakthrough cases which may eventually spread to unvaccinated people. However, I haven't seen a quantitative calculation of the magnitude of this benefit -- it may be small.
Read 10 tweets
5 Sep
An intuitive way to grasp the effectiveness of masks: extrapolating from our results, every 600 people who wear masks for a year in public areas prevents 1 person from dying of COVID given status quo death rates in the US.
Note that this is *taking into account current vaccination rates in the US*. Despite the availability of vaccines in the US, the weekly death rate is higher than at any point prior to November 2020.
Here is how I arrived at this number. Our study shows that inducing a 30 pp increase in mask-use prevented 35% of COVID cases among the elderly.
Read 15 tweets
5 Sep
Academics need to engage with people spreading dangerous misinformation, especially under the guise of technical jargon.

If you do not respond, no one will and the world will be less informed.

The kind of engagement @jhausdorfer wants is *not possible* on the needed scale.
The idea that we should patiently educate the aggressively ignorant sounds laudable, but it practically means disengagement. How many who liked the above post consistently attempt to do this? They might try once, but they'll give up because it's too time-consuming.
Here is the thread:


Here is my response:


Note that the original post received a fair amount of attention. This is not a case where signal-boosting is a concern.
Read 18 tweets
3 Sep
For those keeping track at home, this is definitely not what a confidence interval is. A 95% CI is a function of the data such that, given the data generating process with an unknown true parameter, the CI constructed in this way will contain the true parameter 95% of the time.
The idea that all values in a 95% CI are equally likely is preposterous. If one were instead constructing Bayesian credibility intervals, you do not need a gaussian prior to rule this out.
In the Bayesian problem, this would represent an absurd corner case where the data was completely uninformative about the underlying parameter within a specified range. I can't imagine how this would be a reasonable model of the situation at hand.
Read 5 tweets
1 Sep
I do agree that vaccines are probably even more effective than masks but there are three very important subtleties here that make the 11% way too conservative @ProfEmilyOster.
First, the 11% comes from a 30% increase in mask-use. The IV estimate (naively scaling things linearly) would thus be more like a 37% reduction in COVID from going from zero to universal masking.
Second, we find much larger effects among the elderly (a 35% reduction among 60+ without the above scaling). This suggests that the total reduction in morbidity and mortality from universal masking may be considerably larger than even the 37% number, perhaps more than 50%.
Read 4 tweets
1 Sep
Hi @benshapiro, our study DOES suggest benefits of mask-wearing for people under the age of 50:
1) We only studied adults, but for both surgical and cloth masks, we find impacts on COVID symptoms at all ages tested
The fact that we do not find an effect blood tests of age<50 is likely due to the fact that we collected blood only from a subset of symptomatic people and so our estimates on blood-test confirmed COVID are less precise.
Read 7 tweets

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