The Critical Compass Podcast - Adverse Event Statistical Manipulation in AstraZeneca Phase III Trial ｜ A Critical Compass Clip

In this episode, we talk about the latest in the anti-depressant jab trial, the controversy surrounding it, and why we should be worried about it. We also talk about what we should do about the lack of transparency in the study, and if it was really as bad as it appears, we should all be fired.

00:00:00.000 i i find that really upsetting um but this is where i also say like the thing about it is is

00:00:09.800 they in those uh what was it 66 or 62 deaths um and even the you know the 33 inside of the placebo

00:00:17.800 as because these were aborted fetuses as they weren't considered into the death counts

00:00:24.980 they weren't a part of that a spontaneous abortion and when it comes to a clinical trial 1.00

00:00:32.100 where we're trying to figure out if this is going to harm women that are having babies

00:00:37.160 that are under the age of 50 then there should be a lot more information that kind of comes around

00:00:44.220 this instead of this is a bullshit summary the the 21,587 is offensive because that that is not an 0.68

00:00:54.120 accident yeah not all 21,587 people got the jabs two jabs anyways and yeah not not all the people 0.95

00:01:04.640 that were inside of the women's group could have had babies yeah reading through this i i look at this

00:01:10.560 and that 21,587 shows up when it's convenient to show up as the largest number to divide by

00:01:18.700 and that this is just outright just diluting the statistics yeah yeah well it's so obvious i mean

00:01:26.120 like no no no legitimate study would be presented like that where it's 90 of it is is column a versus

00:01:33.040 column b and then you invert it when the when the statistics start to look inconvenient right

00:01:36.860 that's it this this whole thing was to stop covid right like that's that's the reason that they came

00:01:46.880 out with the jabs that's the reason that they were doing these studies does it stop covid well if

00:01:53.080 people still got covid after it and people still died of covid pneumonia then the answer is no what 0.62

00:01:58.160 the fuck is the rest of the study for right it doesn't work you know it doesn't work yeah so they 0.83

00:02:05.560 talked about reducing in you know in certain severities and mortalities sorry go ahead sorry 0.99

00:02:12.000 sheldon did you know the the second and third uh rows of these of these statistics do you know

00:02:19.620 how they define uh what is causally related or not

00:02:23.840 do they say that anywhere how how they define what is causally related to the treatment or otherwise

00:02:33.200 no they don't they don't describe it but if you look at um all of the all of the the breakdown of

00:02:42.480 these things they they said that there's nothing causally related to uh to the jab so it always shows

00:02:49.000 up as a zero over all right yeah another another convenient statistical manipulation hey and yeah and

00:02:55.740 deaths causally related you know so occurrences and deaths causally related it always shows up as

00:03:01.060 no the chaps didn't cause this yeah sure it sure the statistics don't look that good coronary artery 0.97

00:03:08.600 disease and again this is one that's that's a big one so 25 people got cad um you know which was

00:03:18.120 0.12 and only 0.05 so again i think the 0.05 is probably pretty close to baseline keeping in mind

00:03:26.300 that not all of our subjects were all together that healthy to begin with uh cad again a consumption

00:03:31.820 related disease right um so it seems high it to me it just seems really high also there's zeros across

00:03:44.600 the board like i'm noticing we've gone through more of these cases they're not willing to admit

00:03:51.540 a single a scene like they're all zeros of how many occurrences are causally related they're not

00:03:59.260 willing to even admit a single relationship yeah yeah that in any that's exactly what they're saying

00:04:06.040 sure these people got it but it 100 wasn't caused by the thing that's causing all the other things

00:04:10.860 but again you know what i what i wanted to point out and you know after i come through you know the the

00:04:15.780 things that seemed a little bit more alarming to me is that um the number of people uh that that

00:04:22.260 completed dose two was only 20,770 not 21,587 the number of people that actually completed the trial 0.99

00:04:29.500 was 16,099 so like the as far as i'm concerned this i'd fire every one of these motherfuckers i would 0.99

00:04:39.380 because this is terrible like it's sloppy work um you know track how hard is it to track like it's 0.99

00:04:46.860 i'm sure that they're all using a database something that has a spreadsheet it's pretty easy to sort that 0.93

00:04:52.440 shit out sort that shit out you've got patient numbers you know some sort of identifiers on these 0.93

00:04:58.620 people that they could have whittled it down into the actual full study of being only 16,099 people 0.99

00:05:05.860 which you know that that might be it might be generous of you as well to to believe that

00:05:11.580 the uh the people who actually published this report had any interest whatsoever in actually

00:05:16.980 giving us accurate data

00:05:18.340 you

00:05:35.860 you

The Critical Compass Podcast - May 29, 2024

Adverse Event Statistical Manipulation in AstraZeneca Phase III Trial ｜ A Critical Compass Clip

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