I determined how you arrived at your figure, and showed that it is the wrong way to calculate it. I am not sure how much more simply I can state this.
CFR is defined as Confirmed Deaths divied by confirmed Cases. My only error (which I myself pointed out) is the percentage mark. it sould have been either 0.02 or 2%. Not 0.02%. I'm not asking about that, what I am asking you to back up is the "absent vaccination" part. You see, nothing you are posting here differs from what is repeated on national TV around the world. What is lacking from what pro-vax people repeat are facts that back up the claims.
It's worth studying, but one concern from places like India is whether the statistics are reliable. However, India has also vaccinated a lot of people. If there is a residual difference, then it's definitely worth studying, but it's unlikely to be ivermectin-related, given that controlled studies have shown no benefit. In this sense, you seem to be misusing statistics which are uncontrolled to question studies where they are controlled. Whilst there can be some benefit from larger samples, you have to use post hoc techniques to ensure you compare like-for-like. Such statistical techniques are fearsomely complex, which is why statisticians (or data scientists if you will) can get paid so well, because it's really hard stuff. I have friends who work in health sciences, and I can attest to this fact - that it is complex. They choose to use it in health research rather than working for big insurance firms, etc. In analysing health data (or any other) a huge area is determination of data quality.
So basically what you are saying is that it is too hard to answer simply? Well if you cannot communicate such an answer simply, and you need to basically say: "trust these experts", or "trust these studies that I'm not gonna explain to you simply, and not what you see with your own eyes", then do not be baffled when people choose to not listen to you. Because the stance you are taking is the stance of argumentation from authority, while in the age of the internet we are looking for scientific method. One were India's cases can be explained without claiming that the numbers are untrustworthy or it's too hard to answer etc.
I've personally seen ivermectin work in people close to me. So basically, in my own experience, I'll claim that it's probably your controlled studies that are untrustworthy. It wouldn't be the first time academia is used for a quick buck.
You are looking at a single metric, which contains a number of factors. A better analysis is to look at the change of that metric as vaccination occurs, under the assumption that some of the other confounding factors will remain constant, and then also try to determine what those other factors that might still be changing (e.g. mask mandates, etc.) are and how they have changed. This is nothing to do with me 'liking' vaccines or not, just sound statistical practice.
This is what the person making the claim should be doing. When someone states: "What is clear, though, is that the CFR or IFR, absent vaccination, is not 0.02%"., one would expect him to document why it is true, otherwise he is just stating a belief. You are lecturing me on single metrics and how one should interprit statistsics, but you yourself are just stating beliefs without backing up the claims. This is something pro-vaccine people do all the time and then state "science" as dogma without actually doing the science.
It doesn't seem like you do given your statements.
Oh, and they never answer uneasy questions like how India has done so well whithout high vaccine percentages, because that may mean that the actual science on ivermectin and doxycycline working may be true. And that, 'science' forbid, is akin to worshiping the devil in this pro-vaccine cult. =]
There are multiple confounding factors, such as the health of the population, healthcare quality, behaviour of the population, rate of vaccination, testing rates, types of tests, start date of vaccination, and so on. By looking purely at CFRs you've ignored those factors, and they don't mean that vaccination hasn't had an effect in either of those cases. You'd have to try to control for all of those before comparing CFRs.
In other words I was correct in saying that your original claim that "What is clear, though, is that the CFR or IFR, absent vaccination, is not 0.02%" is not based in those numbers. You see, you like vaccines. You are supporting them. That is fine. But the numbers we are talking about here do not support them in any straightforward way.
Do you see any consistently identifiable pattern as to why a country would have a lower CFR than one with a higher one? Because I am not seeing vaccinations as a consistently defining variable.
See above.
I'm not claiming that it is clear that Absent X CFR would be higher though, correct? I would point the case of India though. 22% vaccination rate and ivermectin in their treatment protocol. CFR you say? 1.3%
Now I'm no doctor, but I do know statistics. You need a lot of mental gymnastics to do, to explain that one.
The original estimates of CFR rates were without an assumption of vaccines, but current CFR rates are affected by their availability. If you mean current figures, then vaccines are very much part of CFR and IFR numbers.
The Netherlands has a vaccination percentage of 68,63% and a CFR of 0.9%. Portugal has a vaccination percentage of 87,16% and a CFR of 1,7%. How is vaccination reflected in those numbers?
I have, and there's a fair bit of variation. If you pick the 100 countries with the highest number of cases and work out the CFR based on official numbers it's from 0.002 to 0.091, i.e. an order of magnitude variation.
Do you see any consistently identifiable pattern as to why a country would have a lower CFR than one with a higher one? Because I am not seeing vaccinations as a consistently defining variable.
(My beef with vaccinations has nothing to do with actual medical results to be honest. I'm pretty sure they aren't useless. The thing I have against them is serialization of vaccines and "freedom passes", along with centralized digital money supplies. I'm no doctor, but I am an IT person. And that right there is a recipe for disaster. I would argue that an order of magnitude greater death rate still wouldn't be worth the slavery we are willfully submitting ourselves and our children to.)
Real Programmers don't write in FORTRAN. FORTRAN is for pipe stress freaks and crystallography weenies. FORTRAN is for wimp engineers who wear white socks.