Federico Andres Lois Profile picture
Feb 6, 2021 6 tweets 2 min read Read on X
1/ I was sent this paper. You know I have disregard it before because the filtering mechanic was really not significative for the type of airflow conditions imposed by masks. How wrong I was on not looking deeper.
2/ I have been told by @Kevin_McKernan that you always have to look for "Where is Waldo?" in this type of studies. The first interesting fact comes from Table 1. Each experiment has different experimental setups, that is good enough to disqualify in my book.
3/ But then I skipped to Table 4. Mind you, almost none were statistically significative. But remember Table 1. So you see a correlation there?
4/ I was laughing at it, but then I showed it to my wife. She immediately said all those are not significative. However, the ones that shows higher viral load on the lungs are the masked ones. If this would be a human, that's a marker of worse the prognosis. Ouch.
5/ So lets recap. Experiment is awfully designed. Conclusions overstated. And their only significative segment on table 4 actually suggest that the mask tradeoff is less cases (delayed infection) but with worse viral load at the lungs which incidentally is what kills you.
6/ Let me decode Table 4 so you understand what you are looking at. Technical papers can be quite intimidating for those that are not used to analyze them. My comments in red. Image

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More from @federicolois

Apr 24
1/ After almost 1.5 years of studying cancer research for personal reasons, I arrived at a realization that prompted me to write this tweet. I will lay out the hypothesis in this thread.
2/ Disclaimer: I am not a formally trained health researcher. More like a very curious and tenacious guy with a 15+ year background in research, development, & reproducibility in computer science (computer science).
3/ I am putting the hypothesis out there because it may make sense to others doing field work. Feel free to dissect this hypothesis, find holes in it, and play devil's advocate. We will all come out smarter from it.
Read 33 tweets
Jan 3
1/ There is a very perverse dynamic on how Chavism (aka "the communist socialism") works. Let's use Argentina as the example. Over the first 20 years they initiate a process that we could call "Earnings Substitution" that will seal your fate over time.
2/ Your earnings/salary is going down and at the same time "subsidies" start to go up in order to fool people into think that nothing has changed. This works because the dirty job is done by inflation which is a much slower process.
3/ By the time people starts to realize that something is wrong, because some critical goods are not available (medicine, food, you name it) or inflation enters a death spiral; most people already depend on subsidies for spending.
Read 6 tweets
Aug 2, 2023
1/ Recently some interesting papers have been doing the rounds in the health community. To me the most interesting ones have been the GlyNAC paper and the more recent Taurine deficiency as a driver of aging papers.
2/ Disclaimer: While I have been researching this for a year and even executed an experimental protocol tailored for myself based on the GlyNAC paper, I am NOT a health professional, and I am just taking my health into my own hands. This is not advice of any kind.
3/ Disclaimers aside, why do I think these 2 papers are interesting? First because the claim (if true) is a game changer. And second because they may be related but I haven’t seen this relationship spotlighted by anyone.
Read 14 tweets
Apr 1, 2023
This just confirmed the weaponization of block lists. If enough people/bots block and mute you, they are essentially cancelling you. I find lots of people with I have never interacted with that has me blocked. Assuming there are third party block lists and block networks.
Normally that is an issue in general. Anyone that has done reinforcement learning had figure out (usually in the worst way) that you have to be incredible cautious with penalties. They are very prone to be gamed.
Read 4 tweets
Mar 20, 2023
1/ I asked #GPT4 to review our paper with @LDjaparidze. This is what happened and what I learned in the process. medrxiv.org/content/10.110…
2/ Since the general problem that practitioners find (in the worst way) is always training set tainting (guilty-as-charged). Habits die hard, the first thing I did is asking to do a review of the paper without any extra knowledge about what the paper says
3/ From the response alone I learned 2 things. First, our paper title was deadly accurate. I also learned that it has no information whatsoever on it, as the entire response can be generated from understanding the title itself.
Read 10 tweets
Feb 12, 2023
1/ I found this paper intriguing so my first step was to verify you can trigger this behavior on ChatGPT. It is actually pretty easy.
2/ Since I am doing it by hand I started with a very simple prompt.
3/ I have been arguing that this trying to constrain the model is actually harming it before. This is one of those cases. The good thing is that at least for you just add "Use the tokens" at the end of the request when it refuses and it will do it properly
Read 5 tweets

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