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Jonathan's avatar

I think you should physically re-draw those graphs with the scales starting from zero so that the physical relationships between each of the columns actually reflects the reality of the percentage differences between them. It won't look remotely as spectacular as you might like it to look but it will reflect the reality to a casual layperson who might be looking at it without going into the details. For example, your code 634 graph has the right hand column well over twice the height of the left hand column whereas it really should only be around 18% higher. You should also normalize the summaries as percentages of the either vaccinated cohort since the outright numbers you are providing are incredibly low to begin with. My point is that I think you are abusing statistics to make a point and you are making it out to be far worse than it is with those alarming looking graphs. Yet in outright terms, we are talking incredibly small numbers to begin with and you opponents would rightly argue that given such tiny cohorts, the vaccine still did more good than harm.

I am not taking sides since I am fully aware the vaccine did far more harm than good and I have two members of the immediate and extended family who suffered as a result of it. I just don't like statistics being taken advantage of in order to make an issue seem vastly more severe than it really is.

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Astragale's avatar

I just searched « Pfizer vaccines infertility » using Google.

Remember Von der Leyen saying the globalists’ highest priority is countering «misinformation»?

Remember Obama talked about « flooding the zone »?

Well Google is certainly flooding the injection-infertility zone.

There are HUNDREDS of hits turning up articles which say not only that infertility isn’t harmed by the injections but that it’s ENHANCED. There’s not a single link to any content even suggesting harm to fertility. This is clearly information that they REALLY want to suppress.

No wonder a lot of people still suspect nothing. They are BLOCKED from finding information that dissents.

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