"A swiss doctor on COVID-19," huh? Well since it's written by a doctor we should give it the benefit of the doubt and read the page and the links. But I confess, upon doing so I find that this is a page full of good (and in some cases, familiar) resources presented in a way that reminds me of a well-produced climate science denial websites.
That's an incendiary claim, so please let me provide an example. Here's point 4 on the overview:
> The age and risk profile of deaths thus essentially corresponds to normal mortality. Up to 60% of all Covid19-related deaths have occurred in particularly vulnerable nursing homes.
"Nursing homes" is highlighted and links to an article talking about mortality in nursing homes and long term care facilities. It is both cautious about its claims (pointing out data is not very good yet) an doesn't make the point that nursing homes are in fact the fatality concentration point. It's not clear how we'd draw a larger conclusion from this.
Another example, next point:
> Many media reports of young and healthy people dying from Covid19 have proven to be false upon closer inspection. Many of these people either (did not)[1] die from Covid19 or they in fact had (serious preconditions)[2] (such as undiagnosed leukaemia).
Firstly, I'm not sure anyone has disputed that young people are much less likely to die of the virus. But there are two links in this point, one to a Daily Mail article about how a coroner is waiting for a toxicology report before ruling the cause of death is COVID-19. This is probably the right call, but an infant testing positive for COVID-19 appears to have died over respiratory distress. It's difficult to just shrug and go, "Oh well that's SIDS not the virus even though the nature of the death is identical."
Really, these points read like someone with an agenda trying to make a lot of cites for legitimacy. But there isn't a lot of evidence of a larger pattern here, just a lot of data which is then presented in a leading way to facilitate a narrative.
Another example of this:
> The often shown exponential curves of “corona cases” are (misleading)[3], since the number of tests also increases exponentially. In most countries, the ratio of positive tests to total tests either remains constant between (5% to 25%)[4] or increases rather slowly.
This is another really misleading bullet point. Looking at [4], we see indeed that the over-time ratio of tests has remained at an average of 25% positive by country (this is of course averaged, hotspots see totally different numbers). But the author has previously pointed out that testing administration has risen exponentially, so this is a constant proportion of an exponential population. If we decline to extrapolate from this, the author cannot make their point. But if we do, we see an exponential growth in COVID-19 cases.
I see more examples but I won't further belabor the point. This resource is written by someone with an agenda they want to execute on. It doesn't appear to be someone honestly engaging in inquiry and arriving at a data-driven conclusion.
> I really can't help but appreciate the irony of alleging agenda in the above poster's sources, while simultaneously citing the Daily Mail, Yahoo Sports, and Twitter.
The post you're replying to did not use those as sources. They were criticizing the website for using those sources (and including them here for reference). Look at the locations of [1] thru [4] in their comment: they're all in the body of quotes.
That's an incendiary claim, so please let me provide an example. Here's point 4 on the overview:
> The age and risk profile of deaths thus essentially corresponds to normal mortality. Up to 60% of all Covid19-related deaths have occurred in particularly vulnerable nursing homes.
"Nursing homes" is highlighted and links to an article talking about mortality in nursing homes and long term care facilities. It is both cautious about its claims (pointing out data is not very good yet) an doesn't make the point that nursing homes are in fact the fatality concentration point. It's not clear how we'd draw a larger conclusion from this.
Another example, next point:
> Many media reports of young and healthy people dying from Covid19 have proven to be false upon closer inspection. Many of these people either (did not)[1] die from Covid19 or they in fact had (serious preconditions)[2] (such as undiagnosed leukaemia).
Firstly, I'm not sure anyone has disputed that young people are much less likely to die of the virus. But there are two links in this point, one to a Daily Mail article about how a coroner is waiting for a toxicology report before ruling the cause of death is COVID-19. This is probably the right call, but an infant testing positive for COVID-19 appears to have died over respiratory distress. It's difficult to just shrug and go, "Oh well that's SIDS not the virus even though the nature of the death is identical."
Really, these points read like someone with an agenda trying to make a lot of cites for legitimacy. But there isn't a lot of evidence of a larger pattern here, just a lot of data which is then presented in a leading way to facilitate a narrative.
Another example of this:
> The often shown exponential curves of “corona cases” are (misleading)[3], since the number of tests also increases exponentially. In most countries, the ratio of positive tests to total tests either remains constant between (5% to 25%)[4] or increases rather slowly.
This is another really misleading bullet point. Looking at [4], we see indeed that the over-time ratio of tests has remained at an average of 25% positive by country (this is of course averaged, hotspots see totally different numbers). But the author has previously pointed out that testing administration has risen exponentially, so this is a constant proportion of an exponential population. If we decline to extrapolate from this, the author cannot make their point. But if we do, we see an exponential growth in COVID-19 cases.
I see more examples but I won't further belabor the point. This resource is written by someone with an agenda they want to execute on. It doesn't appear to be someone honestly engaging in inquiry and arriving at a data-driven conclusion.
[0]: https://ltccovid.org/2020/04/12/mortality-associated-with-co...
[1]: https://www.dailymail.co.uk/news/article-8193487/Coroner-ref...
[2]: https://sports.yahoo.com/spanish-football-coach-francisco-ga...
[3]: https://multipolar-magazin.de/artikel/coronavirus-irrefuhrun...
[4]: https://web.archive.org/web/20200415203945/https://mobile.tw...