An illustration of how an illusion of efficacy can be established for any treatment simply by shifting the window of observation.
Along similar lines:
Pfizer vaccine trial shows saline injection has 75% efficacy in preventing cardiac arrest deaths and 85.7% efficacy preventing Bell's palsy
See now, most of the population are dumb about statistics. Like me. That's all cheating and lying isn't it? I saw what you did and how but it's not a true result. So we thickos have gone for years believing stuff which is all fiddled about with to give the illusion required. What a load of pants!
this presentation is simply brilliant. i feel like this can be replicated on a napkin with even simpler numbers to demonstrate this concept in under a minute to anyone who is even slightly open minded. at least the first two adjustments are easy enough. thanks joel!
This observation window is also shifted and or narrowed/closed in other research. Take glyphosate for instance. The "observation window" was essentially closed at three months and glyphosate was declared safe, but the real issues actually don't begin to surface until the fourth month of exposure. So, if whatever appears beyond that "safety" time is ignored, then the product is still safe, right?
the most obvious problem with that example was when they didn't include the 6,400 in the vaxxed community and shifted them to the unvaxxed, they didn't change the denominator to 22,400, which even in a corrupt analysis is just plain stupid and obviously fraudulent. They could still make the point but with a less obvious error
That was EXCELLENT.
I think the widespread misuse of stats and categorization makes everything just seem muddy and indecipherable and people just resort to picking a Hero Expert and then it's Ride of Die.
Dr. John Campbell's head just exploded.
and with a little more fiddling the efficacy becomes more than 100%.
and still the covidians will accept it as their gospel...
Gato Malo shared a similar analysis that was helpful in illustrating the sleight of hand. Thank you for sharing the video as well. The data misrepresentation by Big Pharma / Public Health would make Enron/WorldCom/Madoff blush.
The only person I know personally who died “from Covid” died 2 days after his first Covid vaxx…was completely healthy before the vaxx!
It's much worse than that:
A Pfizer study (on 37 participants) pointed out how lymphocytes are reduced in the first 7/8 days post-jab and how inflammation is significantly increased. This and other factors can explain the peak seen in the Alberta and Ontario numbers.
Nice clear demonstration of how statistics can be manipulated. As you acknowledge, not all these things may have happened, or at least not to such an extent, but to show what a difference they make in such an understandable format is immensely helpful. I shall be disseminating this as widely as I can. Thank you Joel.
Thank you for posting this,
The shell game has definitely gotten sophisticated!
Where's George Bush Sr. to complain about "fuzzy math"?
Regardless, the video definitely shows that when it comes to disingenuous manipulation of data, shift happens.
Can anyone send me a link to any evidence that imbalanced testing rate occurred in that real world Israel study (as Fenton states)? I believe this is the study:
But I do not find any description of testing rates in it, and as far as I know the data is not public.