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Re: GoodGuyBill post# 281883

Friday, 05/08/2020 1:42:44 AM

Friday, May 08, 2020 1:42:44 AM

Post# of 701936
In terms of effect on NWBO, I expect that lockdown regimes will cause some slippage in the timescale to datalock. And if that occurs, I hope the company will simply keep us informed accordingly, seeing as they have now given a fairly firm timescale leading to eventual TLD.

When I referred to a full range of test scenarios in the different States, my intended meaning was unclear.
I wasn't actually referring to comparative testing rates. I was referring to the different regimes of social distancing and / or lockdowns in the different States.
It's only in the final analysis, perhaps in 2 years time, that one can say which regime was most costly in terms of direct lives lost.
We already know that those States (or indeed those countries) with the strictest lockdown, will have the greatest economic devastation. And how do you calculate and factor in the longer term life years lost, due to a damaged economy and the resulting unprecedented unemployment?

You have to remember that most citizens who contract the virus never know they have it. Either because they are either entirely asymptomatic, or they have mild symptoms and simply don't get or aren't offered testing.
In the US you have approaching 1,300,000 cases. And cases just means those who have tested positive.
The actual number of cases at large in the community i.e. those who would test positive if tested, will be in the range of 10 to 30 times that.
In addition, it is now looking like large sections of populations simply have prior effective immunity (without any recourse to a vacccine). Basically this is children and adults with healthy immune systems. There is a clear and obvious linear correlation between age and Covid mortality.

There are several leading scientists, epidemiologists or virologists who argue against harsh lockdowns, and give the view that, in terms of ongoing public heath threat, in terms of mortality this may eventually become somewhat akin to seasonal flu.

Here is a Professor of Structural Biology at the Stanford School of Medicine, and winner of the 2013 Nobel Prize for Chemistry, giving a view.
He describes lockdowns as 'a huge mistake', at the same time as advocating smart social distancing, basically using something like the Swedish model.




But getting back to our trial, I think it is probably wise to anticipate some slippage in timescales, due to Covid-19.
Anyway, that's what I'm doing.
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