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Some of these are a little odd. You classify the "Coronavirus pandemic could cause 40 million deaths if left unchecked" as false, with the explanation that thou

Some of these are a little odd. You classify the "Coronavirus pandemic could cause 40 million deaths if left unchecked" as false, with the explanation that though we're still in the pandemic, it will never reach that high. But the claim was specifically that it could cause that amount of deaths "if unchecked" and no preventative measures were put in place. But preventative measures were put in place? The claim isn't proven false by the current situation since the conditions that the claim was talking about didn't occur. If I made the claim "If I don't eat today, I will get hungry", ate food and therefore didn't get hungry, I wouldn't say my initial claim was invalid.

shubhamjain 6y ago
The same model predicted 96K deaths for Sweden, a country that eschewed lockdown measures or mask mandates [1]. The deaths topped at around 6K in Sweden. Sweden did take some precautions like restricting large gatherings but not enough to have an effect of this magnitude. [1]: https://www.aier.org/article/imperial-college-model-applied-to-sweden-yields-preposterous-results/ https://www.aier.org/article/imperial-college-model-applied-...
- AstralStorm 6y ago
  Ensure you're tracking whether the populace is taking additional measures that are not mandated, and suddenly it starts to explain the error almost completely. Remember, policies do not execute themselves, and lack of policy does not imply lack of action. Other problems are also caused by wrong, simplistic models. E.g. SEIR might have estimated the total death count correctly, but not the timing or location at all. (Because the model is isotropic.) Plugging in annualized data for various airborne viruses into a Bayesian anomalous diffusion model gives much closer timings. Though there are a few models with varying base assumptions and the estimator used a mixture. (One using Spanish flu, next using common cold, another using seasonal flu. Separately the worst case is... common cold variant.)
virgilp 6y ago
Or > The coronavirus could kill millions of Americans: ‘Do the math,’ immunization specialist says How is that failed? Do we have a crystal ball that says it's all over/ this virus can't possibly mutate into something deadlier? I do agree it feels "unlikely" but marking it as "failed" is just a prediction at this point. what's even funnier is that the next prediction is already marked as "correct" even though we haven't touched 1Million global deaths yet. > 'We Are At War,' WHO Head Says, Warning Millions Could Die From COVID-19 --- on a different note, this is also strange: > 21 Indian cities will run out of ground water by 2020 Link Failed Resources 2030-40 2019 So it's made in 2019, but is it about 2020 or about 2030-40? Seems unlikely that it really is about 2020 if it was made in 2019.... unless it was all but guaranteed to become true (and then I'd like to know how they avoided it).
- shubhamjain 6y ago
  Thank you for pointing that. The evidence does suggest that deadly virus mutations aren't that likely, but yes, it is more accurate to say 'Unlikely'.
- jhthenerd 6y ago
  Similarly > Coronavirus pandemic could cause 40 million deaths if left unchecked What data can we base this on? Humanity has taken measures to ensure that the pandemic doesn't get to those levels, so any real-world data is obviously going to be much less than 40 million.

shubhamjain 6y ago

The same model predicted 96K deaths for Sweden, a country that eschewed lockdown measures or mask mandates [1]. The deaths topped at around 6K in Sweden. Sweden did take some precautions like restricting large gatherings but not enough to have an effect of this magnitude. [1]: https://www.aier.org/article/imperial-college-model-applied-to-sweden-yields-preposterous-results/ https://www.aier.org/article/imperial-college-model-applied-...

AstralStorm 6y ago
Ensure you're tracking whether the populace is taking additional measures that are not mandated, and suddenly it starts to explain the error almost completely. Remember, policies do not execute themselves, and lack of policy does not imply lack of action. Other problems are also caused by wrong, simplistic models. E.g. SEIR might have estimated the total death count correctly, but not the timing or location at all. (Because the model is isotropic.) Plugging in annualized data for various airborne viruses into a Bayesian anomalous diffusion model gives much closer timings. Though there are a few models with varying base assumptions and the estimator used a mixture. (One using Spanish flu, next using common cold, another using seasonal flu. Separately the worst case is... common cold variant.)

virgilp 6y ago

Or > The coronavirus could kill millions of Americans: ‘Do the math,’ immunization specialist says How is that failed? Do we have a crystal ball that says it's all over/ this virus can't possibly mutate into something deadlier? I do agree it feels "unlikely" but marking it as "failed" is just a prediction at this point. what's even funnier is that the next prediction is already marked as "correct" even though we haven't touched 1Million global deaths yet. > 'We Are At War,' WHO Head Says, Warning Millions Could Die From COVID-19 --- on a different note, this is also strange: > 21 Indian cities will run out of ground water by 2020 Link Failed Resources 2030-40 2019 So it's made in 2019, but is it about 2020 or about 2030-40? Seems unlikely that it really is about 2020 if it was made in 2019.... unless it was all but guaranteed to become true (and then I'd like to know how they avoided it).

shubhamjain 6y ago
Thank you for pointing that. The evidence does suggest that deadly virus mutations aren't that likely, but yes, it is more accurate to say 'Unlikely'.
jhthenerd 6y ago
Similarly > Coronavirus pandemic could cause 40 million deaths if left unchecked What data can we base this on? Humanity has taken measures to ensure that the pandemic doesn't get to those levels, so any real-world data is obviously going to be much less than 40 million.