Anytime you read something like this, you need to check the methodology.

1. If it is not a randomized, placebo-controlled trial, at best, it is correlated (ie they happen at the same time), but causation cannot be proved without this type of study design.

2. Be aware of p-hacking. This is a statistical abuse. Typically, we say that if something has a less than 5% chance of happening randomly, it is very likely that the connection shown in the data is genuine. X causes Y, for example. But if you subject that data to a battery of tests, you can increase the chances of finding _something that meets that standard just based on random chance. Set our p standard at 0.05 (1 in 20 chance that it's random), but then do 20 separate tests on the data, we have a really good chance at least 1 of them will come up positive just by chance. The authors will report this correlation as being genuine, even though in reality, it's just a random event.

One good way to start sniffing this stuff out is if the correlations are wild and seemingly totally unrelated. Cannabis (THC) actually has immune boosting properties (weak, but present), so it was seem counterintuitive to suggest it was causing severe COVID, which is what these schiessekopfs are trying to do. They hide it behind the "linked to" language, knowing people will interpret it as "caused by." I'm no fan of marijuana legalization, but this claim looks totally fake.