I think an important point about the @justsaysrisks account that is worth explaining is how important relative risks (and other risk ratios) are to research 1/pic.twitter.com/Nz7OozFkCy
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The problem with using absolute risks is that they vary by population, so if you use an absolute risk difference in one paper it's unlikely to apply anywhere else 2/
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Say you find that people who take a medication have a 50% decreased risk of heart attack, but your study is in young women who rarely have heart attacks The finding is still really important! 3/
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Your absolute risk might only decrease from 0.001% to 0.0005% per year in that sample, but remember - risk ratios tend to stay relatively constant. If you apply it to 80 year olds with heart disease it might turn into a massive difference 4/pic.twitter.com/INhNQrvIcM
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That being said, the relative risk ratio will be meaningless to >90% of people for whom the yearly risk of a heart attack is low, which makes it a huge problem if it's presented without context in a headline 5/pic.twitter.com/951EZDQ0IZ
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TL:DR - relative risks are a problem in headlines, not in research. They can be very useful as well as very misleading! 6/6
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