If a man in the UK reaches the age of 82 then, on average, he can expect to live about another 8 years. So is it reasonable to assume that if a particular man reaches 82 and then contracts a virus from which he dies, he loses 8 years of life? The answer is no, because this is a counterfactual question. To get the correct answer requires a causal model and inference procedure beyond the scope of traditional statistics.
Alse see this article on what inspired this video
https://probabilityandlaw.blogspot.com/2022/01/computing-years-of-lost-life-why.html
You can download the model used in the video here:
http://www.eecs.qmul.ac.uk/~norman/Models/counterfactual_life_expectancy2.cmpx
and run it using the free trial version of AgenaRisk https://www.agenarisk.com/agenarisk-free-trial
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https://www.youtube.com/watch?v=DSqjZ71GWCY
If we want to evaluate the efficacy of a new treatment such as a drug or vaccine against a particular deadly disease then it is not enough to focus purely on how effective the treatment is at stopping the disease. We also have to consider the trade off between effectiveness and safety - do the risks outweigh the benefits. The simplest and most objective way to do this is to determine whether fewer people who get the treatment die compared to those who don’t get the treatment. In other words we have to compare the all cause mortality of the treated versus the untreated. (error at 2:00- text at top right says "22 of the 1000 dies of other causes"; it should be 26 not 22)
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https://www.youtube.com/watch?v=3aZsn8jm7ZE
Shuffle a pack of cards and look at the resulting sequence of 52 cards. No matter what it is, it's a truly miraculous event - it's one that would be almost impossible to ever replicate. But on the other hand winning the lottery jackpot twice within a few years is actually not at all unusual. These concepts are counter-intuitive. This 7 minute video (extract from my introductory lecture on Probability and Risk) explains these concepts
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https://www.youtube.com/watch?v=SOf61GCQpAA
How can a lower still birth rate in pregnant women who have taken some treatment (such as a vaccine) during pregnancy mean that they are at higher risk of a still birth? It is all about what stage of their pregnancy they get the treatment – there is ‘survivor bias’ in those treated late in pregnancy.
I present an analogy of a marathon race based on one suggested by colleague Prof Retsef Levi.
Full details: https://www.normanfenton.com/post/the-statistical-illusion-of-better-pregnancy-outcomes-for-vaccinated-women
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https://www.youtube.com/watch?v=Hk4PiU9Q5uQ
In this clip from his interview with Tucker Carlson Willie Soon spoke about the failure of lockdowns, masks and vaccines - as described in the paper in which he and I were co-authors.
The full interview is here: https://x.com/TuckerCarlson/status/1744777758507504061
The full paper is here https://www.mdpi.com/2628834
My substack article is here: https://wherearethenumbers.substack.com/publish/post/140458445
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https://www.youtube.com/watch?v=R8uFNmIvTb4
Another graphical example of Simpson's paradox. This one 'fixes' an example that appears in the excellent "Book of Why" by Pearl and Mackenzie
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https://www.youtube.com/watch?v=2Dz6XPjD7YE
Discussion on GB News hosted by Nigel Farage on 9 December with guests Norman Fenton and Sally Cutler. Covers the isue of ethicacy of vaccine mandates and the data to support vaccine effectiveness.
(The only editing done was to remove some umms and stutters!)
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https://www.youtube.com/watch?v=cSXBf0DHD9M
Of all the many claims based on dubious statistics that have sustained the whole covid narrative, none have been as widely accepted as the claim that the jabs stopped people becoming seriously ill and dying of covid. But the claim was always based on deliberately murky record keeping - some new examples of which (from FOI requests from hospitals) are shown in this short video. And it’s all just another statistical illusion of efficacy that was manufactured by simple miscategorisation.
All links here:
https://wherearethenumbers.substack.com/p/claims-the-unvaccinated-were-at-higher
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https://www.youtube.com/watch?v=Dk7HCcmsMiA