1/ Let's look at this paper: "Influenza Virus Aerosols in the Air and Their Infectiousness" from 2014 (we cannot claim this was unknown). We know now that we have a new kid on the block now, ready to challenge Influenza for supremacy in the transmissibility metric.
2/ So there were these guys that actually infected people with Influenza to measure how infectious it was. That is a 'challenge study', this is no 'model' this is actual humans. And they found, that with as much as 3000 copies you get it.
3/ Another study actually measured how many particles an adult would inhale in 1 hour given the concentrations found on a health center, a day-care center, and airplanes.
4/ But here comes the interesting part. So 99% of total viral particles were found where you think? Of course, those that have been following for a long time knows... Aerosols. And those guys are actually quite difficult to stop and decay.
5/ Oopsie. Are these guys saying that >99% of the exhaled particles are aerosol? You know those things that escape and are known as "the plume" when laser imaging is used to see how particles behave after someone breathes or worse "coughs".
6/ Small particles are bad, and the reason why is because they can escape the vortex it is created for the purpose of capturing 'impurities' and 'unfriendly guests' that happen to be inhaled. So they can travel straight to the pulmonary alveoli.
7/ Good thing about biology is while you will always get bitten by something you thought you knew, usually the behavior rhymes. Where did I saw something like this? Ohhhh. Yes.
9/ This part is interesting, breathing not coughing, or sneezing events are the actual high contributors. Who would have thought that?
10/ So now let's switch to another interesting paper "A cluster-randomized trial of cloth masks compared with medical masks in healthcare workers", this one is pretty good because you know they conclude that masks work.
11/ I won't bore you with the details so we are going to go straight to Figure 2. And without further ado, there it is... And here comes the poll.
12/ In which order of importance this graph is ordered?
13/ Weaker to Stricter. So the criteria to enter into the clinical respiratory illness (Left) is far weaker than actually having isolated and confirmed which 'virus' on the Right.
14/ The control group here is interesting though. By their own admission, it was a do what you want kind of thing, but interestingly while most used one or the other, the compliance is half of the other 2. So in a sense that is normal pre-pandemic behavior at hospitals.
15/ Now to the important stuff. What happens when something consistently performs worse than the control group?
16/ Correct (whatever you had responded in there). The interesting thing here is that even the do whatever group (you know the crazy ones, the misfits, the rebels, the troublemakers) are no worse (and in fact are better) than the cloth masks guys.
17/ One can also point out that we are doing all this fuzz for that whatever 0.5% difference in the stricter category (well within the margin of error) we are probably looking to optimize something that is impactless. I would be far more convinced if it shows a ZERO.
18/ But again you know, biology tends to bite those too sure in the ass, but nonetheless it often rhymes.
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.
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.
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.
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.
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.
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