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Review of anti masking book Unmasked by Ian Miller

by An Other Guy (Pagesincolor [at] yahoo.com)
Ian Miller's new book, Unmasked fails to make the case that masks don't work to prevent the spread of COVID19
Clay and Buck did a decent job of promoting the book Unmasked by Ian Miller so I purchased a copy in the Google play store to read on my cell phone. There is only one one star review on Amazon here

https://www.amazon.com/product-reviews/B09RKQG1PH/ref=cm_cr_unknown?filterByStar=one_star&pageNumber=1


Mr Miller makes a good case for why masks don't appear to work, but he falters in the chapter on why the flu dissapeared. I don't believe his explanation of that part at all. My review of the flu data shows a decline in flu cases at the same time as schools were first closed in the USA, indicating that flu was declining due to all mitigation measures even before masks were widely used

Mr Miller claims that face masks do not block aerosols, but this is clearly false, based on this study

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248099

Funding: The authors received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist


Also the NIH was using computer models to explain Chinese data by assuming that there was asymptomatic COVID19 transmission in the spring of 2020, so mr Miller's assertion that asymptomatic transmission was rare is also likely false. He also refers to hospitalizations dropping permanently after the first wave which is also false.
by OrthoBoy (orthoboy1do [at] yahoo.com)
"An Other Guy" missed the mark... The study you referenced on masking is a lab study...need I say more? "Bench" trails do not (rarely) equal "clinical" data. Also, no clinical data is perfect...EVER...always flaws.

Never build your religion on the data but it is good to always question.

"Science" only attempts to answer the question being asked...maybe you should be asking a different question (i.e. Who has done a "Cost benefit Analysis" of COVID-19 measures? Hint: Done in Australia)

Your remarks on the Flu are fair to ask but demonstrate an example of observational bias (among others). There are many possible explanations, but previous Flu/masking data do not support your bias.
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