11 is very small, and useful only for evaluating the presence of very very prominent effect sizes, regardless of domain. A comment saying n=11 is not a novel insight, but I believe it is useful, similar to people who add "in mice" to articles whose headlines might imply the test was on humans. I appreciate those comments.
In this case I think it is fair to conclude that the headline "Severe Covid-19 Cases Don't Respond to..." is an accurate takeaway purely because the sample size is so small. With this sample size you can, at best, conclude that these combinations of drugs don't reliably cure the disease in severe cases, which is a very different idea.
While I have you: could you please stop creating accounts for every few comments you post? We ban accounts that do that, and in fact this account was banned. This is in the site guidelines: https://news.ycombinator.com/newsguidelines.html.
You needn't use your real name, of course, but for HN to be a community, users need some identity for others to relate to. Otherwise we may as well have no usernames and no community, and that would be a different kind of forum. https://hn.algolia.com/?sort=byDate&dateRange=all&type=comme...
Here's a comparable comment that at least begins to engage with the specifics: https://news.ycombinator.com/item?id=22798031. I don't know if it's a good point, but it's at least actually about this particular study. We wouldn't moderate such a comment.