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Will putting London into Tier 3 cripple the economy? – Dr. John Lee, talkRADIO

https://youtu.be/oHAJFQtnSVw
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The clampdown that is just bureaucratic insanity – Dr. John Lee, Daily Mail

By plunging London into a Tier Three lockdown, the Government is going to do terrible harm to the city, the entire national economy, and to millions of lives.

No one can predict the number of people who will lose jobs, suffer poor mental health or who will have life-saving operations postponed until too late.

All we can say with any certainty is that all these things will happen, and not to a few isolated people. The harms caused by these new restrictions, like those caused by the previous over-reactions, will be immense.

  • The Government is withholding much of the information we need to draw our own conclusions about better ways to handle the crisis.
  • The weekly average number of Covid deaths in the capital is just over a tenth of what it was at its peak in April.
  • Weekly average Covid admissions to London’s hospitals are a quarter of what were in the spring.
  • The [UK Government’s] obsession with secrecy is not intended to hide the facts from enemy agents but from us, the general public.
  • This disease is not like Spanish flu, or the plague. It does not sweep away young and old indiscriminately. In fact, many younger people – now more likely to catch Covid – will have it without even being aware. They will be infected but not affected.
  • The average age of people dying with a Covid infection is 82 years and four months – 14 months more than the average life expectancy in Britain.
  • In November the total number of deaths in London was very little different to the average over the past five years.
  • Covid is a respiratory virus that spreads on the wind. Just look at the leaves blowing around – that’s what viral particles do when we walk past each other.
  • Cloth or woven paper masks are no barrier to this tiny virus either, as shown by the world’s only controlled study, from Denmark, which found that they only made a small, ‘non-statistically-significant’ difference.

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