Thread by @federicolois

1/n I have been sitting on this information for weeks on end, waiting someone to highlight it. But, if I tell you I will be subjected to 'being special' treatment. So, I wont give you the fish, I will teach you how to catch it.

2/n Resources and materials:
- [1] Total Coronavirus Deaths in Israel: worldometers.info/coronavirus/co…
- [2] National surveillance data: thelancet.com/journals/lance…
- [3] Supplementary: thelancet.com/cms/10.1016/S0…

3/n For better understanding you should be reading the whole [2] to understand what it means. I promise you it is worth the effort. I wont go anywhere (actually I will because I already wrote this).

4/n The first thing to check is the first sentence of the 'Statistical Analysis' ... This is the key of the whole thing. Until you can name these groups you cannot continue because this is central to the analysis.

5/n Now go to second paragraph of the Results section and write down the deaths occurring on the period under analysis. (Jan 24 to April 3 2021). Now go to [1] and calculate the real value for that. How much different should it be to be of concern?

6/n You see, there is something odd... this is when your fishing rod get useful. Go to Table 2 and Table 3 on [3] and sum the total deaths from all 3 groups. These are not the totals you were looking for.

7/n Still inconsistent, but there is an interesting tidbit under Table 3. Mhhh... You see what I am seeing here? So our graph in tweet 4 is not entirely correct. So now take what you calculated from [1] and substract those at Table 2 and 3 from [3].

8/n OK, now you know why I hesitate to talk about it. But did you think that was the only thing. It's never so simple. Go to Table 2 and check the outcome of the left out group. ;) medrxiv.org/content/10.110…

9/n Just be careful what you do with this new knowledge.