Statistics, and the impact of significance levels, normally distributed sample sizes, sampling method, and qualitative vs quantitative data are frequently ignored/overlooked/misunderstood. Then sensationalism takes over.
I think this was the case with Covid vax adverse effects. I looked at one of the big studies and the numbers were not nearly as bad as some armchair experts made them out to be on Twitter. They didn’t understand what they were reading 🤦♂️
I’m not for or against anything, but I do like to look at data.
Yep, same here. Stuff was often cherry picked/skewed to fit a narrative - from both sides too. I’m not going to dwell on it though. Entered too many heated debates over the last 4 years with armchair experts with zero data/ scientific backgrounds.
Exactly. Same reason I never respond to vax notes. No point really.
Yep it will ruin your day. Stack sats instead.
What's different with COVID vaccine is that hundreds of millions have been vaccinated, so obviously even if the percentage of side effects is tiny, many many individuals will be affected. Many of the statistically less competent people are picking those numbers to show us how terribly the government acted. They leave aside the optionality: how many more people would have died or would have had serious side effects from the disease if the vaccine hadn't been rolled out? There is little rigor applied except for the rigorous calls against government intervention (which I support in general).
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