Well no, that’s not how it works either. As we know more models are adjusted. Why would we NOT do that, lol? Also, we barely knew what the general impact of mitigation would be. Again, models had to assume the worst. Now we know the impact is far BETTER. Don’t be this guy.
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Replying to @JoeySalads @laura_nelson
You’ve just invented an argument (again). Your side keeps doing this. You all need to calm down. Nowhere did I say I believed the models. I’m simply explaining why they say what they say. For some reason you people have kittens about an explanation.
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Replying to @JoeySalads @laura_nelson
If you didn’t have worst case scenarios you wouldn’t have full mitigation. If you didn’t have full mitigation (or near) you’d have a lot more deaths. Look at the UK’s per capita deaths. That’s the result of a “herd immunity” delayed policy response.
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Replying to @JoeySalads @laura_nelson
As I explained on the radio show today, that’s because the models were based on data with death rates from a handful of countries and at the time they didn’t know to build in variables with Italy, for instance, regarding smoking. We still don’t know all aggravating factors.
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Replying to @JoeySalads @laura_nelson
Again, I’m not sure what you wanted estimates based off if not the confirmed rates, given that the world is dealing with a new virus and predominantly dodgy data from China.
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How does one identify mild or asymptomatic infections, either geographically, or in the wider sense of being able to both react to and integrate such a phenomenon with no previous data as a guide star?
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Replying to @JoeySalads @laura_nelson
That only works if you have enough tests by the time you’re modelling. That didn’t and couldn’t have happened.
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