I'm familiar with him, and his "skepticism" has been chuckled at by the likes of the Covid Bad Takes twitter and he'll supposedly block anyone who criticizes him (not confirmed by me).
And here's the problem with that graph in question (I know he's using it to try and prove that Covid has the same natural bell curve trajectory as the flu, which he'll use to argue that the lockdowns weren't necessary and that Covid would've "gone away" on its own, much like the flu. This is what Levitt argued way back when with the Diamond Princess data).
Flu cases are simply estimates any given season and the rate of testing during flu season isn't as prevalent during our current battle with Covid, so the Covid case count would be presumably more accurate. The CDC estimates for flu cases during any given season will have millions between the lower and upper bounds (i.e. 12-35 million estimated cases, etc). And as I've said before, case count isn't really helpful in determining spread nor severity. As I've shown in my graphs above, hospital visits presenting with flu-like illnesses drop beneath the 2 percent threshold by week 12-14. Meanwhile, Covid was accelerating at week 12, on a clear upward trajectory, before the many lockdowns and social distancing measures took effect. If the virus had a "natural lifespan," as the skeptics suggest, you would see a bell curve roll off from week 12 and on. But what we saw was a growing e that was sharply mitigated.
The Arizona data should be an eye-opener here. If you looked at their data around mid-April, you might conclude they are past the peak and rolling off (look how their situation conformed to a bell curve from 2-23 to 4-10). There was a bit of tail into summer, and then they ed after reopening. This should illustrate that this virus has no such natural bell curve lifespan over a specific season like the flu.