Curated Covid pandemic ironies, inconsistencies and insufferable tyrants
- Peter Lorenzi

- Apr 24, 2021
- 4 min read
April 24, 2021. A lot of almost everything you might want or need to know -- and may have been afraid to ask -- but have not heard from the mainstream media about Covid-19 policies, practices and politics.

Ivor Cummins
May 2020 on Co-morbidities.
May 2020. Is lockdown policy science-based?
May 2020. Stanford Nobel Prize winner on the science and math of Covid.
May 2020. Vitamin D, latitude and Covid deaths.
May 2020. Obesity effects.
May 2020. Data-centric
July 2020. Why some countries are harder hit.
November 2020. Lockdowns appear to have no effect. November 2020
October 2020 USA viral update.
October 2020. Debate on lockdown ideology versus scientific approach
December 2020. PCR vs antigen tests.
December 2020. What they got wrong about Covid.
December 2020. PCR v rapid antigen. Strategy for coming out of lockdown.
February 2021. Florida wins the lockdown science war – hands down.
February 2021. Florida’s success without lockdowns.
April 2021. “Battle of the experts – mortality reality.” IFR in US is about 0.13%, much less than one tenth of what ‘experts’ had projected.
April 2021. Mainstream news dissected in a scientific manner.
April 2021. The real story in India.
May 2021. I cannot make it any simpler: Seasonality of Covid and the flu
Sam Bailey
March 2020. Covid-19 FAQs.
April 2020. The truth about social distancing.
September 2020. Misuse of PCR and the 100-day New Zealand anomaly. Pre-test probability and false positive and negative. PCR is NOT a test for the virus; it is used as a diagnostic test, it is not to be used as a screening test.
December 2020. What is a Covid-19 case? Covid and a positive PCR death.
December 2020. Excess mortality – what you haven’t been told.
References Excess Mortality
1. On the Scene Disinfection in Wuhan https://www.youtube.com/watch?v=oWqCU...
2. Italy struggles to find space for bodies despite flattening virus curve https://www.youtube.com/watch?v=K-H0Y...
3. Lockdowns more harmful than disease: https://www.telegraph.co.uk/global-he...
4. Euromomo excess mortality stats: https://euromomo.eu/graphs-and-maps#z...
5. Hydroxychloroquine overdose rate: https://fr.wikipedia.org/wiki/Autoris...
6. Hydroxychloroquine - usual dose: https://www.medicines.org.uk/emc/prod...
6. Dr Klaus Köhnlein: https://realnewsaustralia.com/2020/10...
7. UK Column: https://www.ukcolumn.org
8. UK Column: https://www.youtube.com/user/ukcolumn...
9. Years of Life Lost: https://www.healthknowledge.org.uk/pu...
10. Dr Klaus Püschel: https://www.abendblatt.de/hamburg/art...)
11. John Ioannidis Covid YLL: https://onlinelibrary.wiley.com/doi/1...
12. Lockdowns may cause 29 times more deaths: https://www.scribd.com/document/45996...
13. WHO Case definition of Covid-19: https://www.who.int/publications/i/it...
14. Hendrik Streeck comments: https://www.faz.net/premiumContent?co...)
15. ‘Covid-19’ deaths regardless of cause: https://www.newsbreak.com/new-york/ne...
16. Jensen on Covid death certificates, payments: https://www.valleynewslive.com/conten...
17. US HHS Document to Doctors on Covid-19 deaths: https://archive.is/CAxff
19. Cabrera. Death Certificates and Covid-19: https://rationalground.com/death-cert...
Peter Lorenzi
Lockdowns Don’t work. Just look at the data from states, countries that did not use them. ‘Experts’ who claim they work by asserting – assuming – that death rates would have been higher in the absence of a lockdown are not engaging in science. More likely they are showing just how inaccurate or wild were their predictions.
Sweden and the importance and success of avoiding lockdowns.
Harvesting and elderly deaths
NOT record deaths in the United Kingdom.
Expected and excess deaths, 2020 predicted versus 2020 actual.
Averages, predictions and lies. “Lack of transparency is a huge political advantage.”
Almost everything about preventing Covid deaths you learned in kindergarten.
Joy.
Changing the data to confirm a false assumption
Epidemiologists get the big picture wrong.
More cause and effect, pre-existing conditions and following the science.
Predicted spikes, surges that did not happen.
Lies, damned lies, and statistics. If 621 people in your city died of a drug overdose while at the same time 173 people died of Covid, do you have a drug problem or a Covid problem? Who is to be held accountable for those deaths?
False gods, fear mongering, failed predictions and fake news.
2020: The year of living stupidly.
Cuomo and nursing homes
And more
‘Positive’ PCR test (1) is not necessarily positive, (2) may be amplified to detect presence of ‘dead’ virus, (3) offers no protection from future infection, (4) does not constitute a ‘case’ until symptoms are present, (5) does not predict likelihood of becoming ill, or of being hospitalized, or of dying.
Experts and bias
o There is no “the” science.
o Confirmatory bias from journalists citing experts who conform with the journalist’s bias. Much like journals only publishing positive results of a study, but not the failed hypotheses or counterevidence.
o “Peer reviewed” is not the gold standard for scientific credibility.
o The use of the scientific method is not the same as citing a “scientist,” regardless of the person’s area of expertise.
o Many ‘experts’ have poor records for their predictions.
o Forty years and 70 million global deaths from AIDS pandemic shows Fauci ineffectiveness in managing or ending a pandemic.
Masks
o May be useful in theory, yet in practice they don’t work. They are like condoms: Essential when you put yourself at immediate risk, useless if not used properly or consistently. Better to just not create needless risk. And people get sick and can die from poor mask use.
o In Wisconsin, masks have been cited to both ‘stop’ and to ‘slow’ the spread of the virus. Neither claim is clearly true. And, in fact, along with a lockdown and absent a vaccinated or herd immune population, at best masks and lockdown delay or reduce the infection. They may slow, but they don't stop.
o Masks are a form of virtue signaling at its finest.
Other notes
John Ioannidis. Inaugural lecture of the EUC Public Health Lecture Series.
One in four NYC adults – several million – were infected in first wave in spring 2020. IFR was miniscule compared to the estimated mortality rate, which was based on ignorance of this high infection rate.
John Stossel on doomsayers: Imperial College of London forecast of two million Americans dead with Covid, included two thirds of whom would going to die of other causes regardless.
o As Matt Ridley notes, there is money, power and fame in making outlandish, exaggerated predictions of doom. This is true for climate change, Covid and many other areas.
o As he notes, “there are no experts on predicting the future.”
o A prediction is basically a hypothesis as to a future result, predicted versus actual. For most experts, there is zero accountability or penalty for getting the prediction wrong.
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