Podcast highlights
- There were many signs that were really available by the end of February indicating this is a virus that has ‘weak legs.’
- The data was all available by the end of February [2020] and anyone who can use Excel could analyse it.
- “The best statistical test is the eyeball test.” And if you chart things in Excel, you can very quickly make an instinctive judgement.
- No country succeeded in protecting the elderly and nursing homes–it’s hard thing to do.
- We had a soft flu season. The people who would have been susceptible to a generic flu were hit by a virus that came late and swept through rapidly. This could explain the high COVID-19 death numbers among the vulnerable.
- Many analysts agree that the lockdown did nothing to affect the peak of infections and deaths.
- None of the pro-lockdown people seemed to analyse the data and used the data to support lockdown.
- Many pro-lockdown scientific colleagues are academics receiving salaries; their lives would not be negatively affected by the lockdown. Scientists love nothing more than staying at home to work.
- What really matters is the years lost rather than the number of dead. Life is risky and when you’re old, life is more risky. You’re expecting younger people to give their future to get two more months of life.
- While COVID-19 is not the same as the flu, the numbers look very similar.
- People rolled over for a lockdown based on no real solid science.
- There’s a whole fallacy about the R value because it is dependent on the time you’re infected and no one knows what the time infected is, no one knows about hidden cases.
Source website: https://thefatemperor.com