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An investigation of official ONS data has revealed that since the Covid-19 vaccine was offered and administered to kids in England and Wales there has been a 89% rise in deaths among male children against the five-year-average, with the most recent week seeing an increase as high as 200%.

The UK’s Medicine and Healthcare product Regulatory Agency (MHRA) have openly admitted that they suspect myocarditis and pericarditis are potential side effects of the Pfizer and Moderna Covid-19 vaccines, especially among young males. A suspicion that has been strong enough for the UK Medicine Regulator to officially add warnings about myocarditis and pericarditis to the safety labels of the Covid-19 vaccines.

> An investigation of official ONS data has revealed that since the Covid-19 vaccine was offered and administered to kids in England and Wales there has been a 89% rise in deaths among male children against the five-year-average, with the most recent week seeing an increase as high as 200%. > The UK’s Medicine and Healthcare product Regulatory Agency (MHRA) have openly admitted that they suspect myocarditis and pericarditis are potential side effects of the Pfizer and Moderna Covid-19 vaccines, especially among young males. A suspicion that has been strong enough for the UK Medicine Regulator to officially add warnings about myocarditis and pericarditis to the safety labels of the Covid-19 vaccines.

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So, while I deplore vaccine mandates, and will NOT be getting my young son vaccinated against COVID, the analysis in this article is invalid.

He is comparing a long term mean to short term mortality data. You can't do that.The mean of large set of data means nothing without looking at the variance. What they should have done is calculated the standard deviation from the data, then figured out the probability of that level of deaths being due to random fluctuations.

Maybe it's normal for child deaths to spike randomly for whatever reason. Maybe it's even worse than we think. We just can't tell from the data presented. Figured correctly, If the number of deaths was, say 6 standard deviations above the mean, that would indicate that there is only a 2 in a billion chance of the increase being due to normal variability. Meaning there was almost certainly something new causing iit (like the COVID jab)

He is an example:

(10,0,10,0,0,10) and (5,5,5,4,5,6) both have a mean of 5. If you had a new data point of 10, however, you would need to look at how variable the data is to determine if it is sufficiently different from the past data. In the first data set, which has high variability, a value of 10 is well within the normal variation. Ten for the second dataset, however, would be an outlier.z

This kind of stuff bothers me because some Soros funded fact checker can point to this article and claim that they have debunked that kids are dying from the jab. Kids very well might be, it's just the analysis here that is flawed.

Tl;Dr- The analysis in this article was not done correctly.