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Professional data scientist here. Hate to say it but no this study wasnt the bombshell the OP claims. In fact, it is fairly weak as far as studies go, ill explain.
It is probably not saying what you think its saying for quite a few reasons. Not the least of which being that this is not a double-blind study, nor does it determine infection rate through actual tests. It is **self-reported** data via surveys. Meaning the number of infections is not objectively verified, it is left up to the person to both know and provide. This has quite a few issues
1) A fairly high rate of infections are asymptomatic, meaning most people never know about most of the times they have gotten covid
2) A person who gets and knows they get covid but does not have significant symptoms is less likely to wind up in a hospital or be exposed to the study
3) People lie
4) The study doesnt even ask the person to cite known infections but to include **suspected** past infections.
Then there is the fact that the linerality of the test wasnt really able to be carried out with the low number of data points. So we cant really tell if its asymptotic or not.
