Lockdown doesn't work. Sweden leads the way

Truth matters

MPA (400+ posts)

Professor Johan Giesecke, one of the world’s most senior epidemiologists, advisor to the Swedish Government (he hired Anders Tegnell who is currently directing Swedish strategy), the first Chief Scientist of the European Centre for Disease Prevention and Control, and an advisor to the director general of the WHO, lays out with typically Swedish bluntness why he thinks:

UK policy on lockdown and other European countries are not evidence-based.

The correct policy is to protect the old and the frail only.

This will eventually lead to herd immunity as a “by-product."

The initial UK response, before the “180 degree U-turn”, was better.

The Imperial College paper was “not very good” and he has never seen an unpublished paper have so much policy impact.

The paper was very much too pessimistic.

Any such models are a dubious basis for public policy anyway.

The flattening of the curve is due to the most vulnerable dying first as much as the lockdown.

The results will eventually be similar for all countries.

Covid-19 is a “mild disease” and similar to the flu, and it was the novelty of the disease that scared people.

The actual fatality rate of Covid-19 is the region of 0.1%.

At least 50% of the population of both the UK and Sweden will be shown to have already had the disease when mass antibody testing becomes available.

 
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Oldwish

Senator (1k+ posts)
Professor Johan Giesecke, one of the world’s most senior epidemiologists, advisor to the Swedish Government (he hired Anders Tegnell who is currently directing Swedish strategy), the first Chief Scientist of the European Centre for Disease Prevention and Control, and an advisor to the director general of the WHO, lays out with typically Swedish bluntness why he thinks:

UK policy on lockdown and other European countries are not evidence-based.

The correct policy is to protect the old and the frail only.

This will eventually lead to herd immunity as a “by-product."

The initial UK response, before the “180 degree U-turn”, was better.

The Imperial College paper was “not very good” and he has never seen an unpublished paper have so much policy impact.

The paper was very much too pessimistic.

Any such models are a dubious basis for public policy anyway.

The flattening of the curve is due to the most vulnerable dying first as much as the lockdown.

The results will eventually be similar for all countries.

Covid-19 is a “mild disease” and similar to the flu, and it was the novelty of the disease that scared people.

The actual fatality rate of Covid-19 is the region of 0.1%.

At least 50% of the population of both the UK and Sweden will be shown to have already had the disease when mass antibody testing becomes available.
Bro can you share the source please.
 

Truth matters

MPA (400+ posts)
Yes new anti body testing showed the mortality rate is way below previously thought its just around 0.1% near to influenza. Do we impose curfews to prevent influenza?
Exactly lockdown is the biggest psychological experiment on the world by the deep state. Wakeup people stop consuming and start producing
 

Eyeaan

Chief Minister (5k+ posts)
Professor Johan Giesecke, one of the world’s most senior epidemiologists, advisor to the Swedish Government (he hired Anders Tegnell who is currently directing Swedish strategy), the first Chief Scientist of the European Centre for Disease Prevention and Control, and an advisor to the director general of the WHO, lays out with typically Swedish bluntness why he thinks:

UK policy on lockdown and other European countries are not evidence-based.

The correct policy is to protect the old and the frail only.

This will eventually lead to herd immunity as a “by-product."

The initial UK response, before the “180 degree U-turn”, was better.

The Imperial College paper was “not very good” and he has never seen an unpublished paper have so much policy impact.

The paper was very much too pessimistic.

Any such models are a dubious basis for public policy anyway.

The flattening of the curve is due to the most vulnerable dying first as much as the lockdown.

The results will eventually be similar for all countries.

Covid-19 is a “mild disease” and similar to the flu, and it was the novelty of the disease that scared people.

The actual fatality rate of Covid-19 is the region of 0.1%.

At least 50% of the population of both the UK and Sweden will be shown to have already had the disease when mass antibody testing becomes available.
That's right in theory but in practice. UK tried this approach initially but failed.
In countries like Pak, how could the old/vulnerable be separated from the young? Pak cannot properly manage even a lockdown but then that's the only choice available. The data of .1% is not unexpected - the current data for death is for the confirmed cases, and not for the whole populations.
 

Truth matters

MPA (400+ posts)
That's right in theory but in practice. UK tried this approach initially but failed.
In countries like Pak, how could the old/vulnerable be separated from the young? Pak cannot properly manage even a lockdown but then that's the only choice available. The data of .1% is not unexpected - the current data for death is for the confirmed cases, and not for the whole populations.
What is the real number of covid 19 cases
As 50 percent or more have no symptoms according to the geniuses that have exaggerated the virus
 

Truth matters

MPA (400+ posts)
That's right in theory but in practice. UK tried this approach initially but failed.
In countries like Pak, how could the old/vulnerable be separated from the young? Pak cannot properly manage even a lockdown but then that's the only choice available. The data of .1% is not unexpected - the current data for death is for the confirmed cases, and not for the whole populations.
Why is Spain opening up if lockdown was working
 

Eyeaan

Chief Minister (5k+ posts)
Why is Spain opening up if lockdown was working
Probably because the number of cases is flattening.. See the logarithmic curves in the following page

Too long and too strict lockdown has adverse effects - there has to be a balance. Purpose of lock down is not exactly 'to decrease the number of infected' but to extend it so that it does not overburdens health facilities and is manageable. Don't favor strict lockdown, putting everyone out of work. That's even worse than epidemic, rather disastrous.