Posts tagged P-value
The Authorities Are Quickly Reversing Their Stance on Covid

Dr. Fauci said this on January 12, 2022. "Omicron, with its extraordinary, unprecedented degree of efficiency of transmissibility, will ultimately find just about everybody ...Those who have been vaccinated ... and boosted would get exposed. Some, maybe a lot of them, will get infected but will very likely, with some exceptions, do reasonably well in the sense of not having hospitalization and death." In case Dr. Fauci has not noticed, the vast majority of us have done reasonably well for the past two years. Dr. Fauci would have been censored for saying this one or two years ago. The CDC posted this on January 7, 2022. "Among 1,228,664 persons who completed primary vaccination during December 2020–October 2021, severe COVID-19–associated outcomes (0.015%) or death (0.0033%) were rare. Risk factors for severe outcomes included age ≥65 years, immunosuppressed, and six other underlying conditions. All persons with severe outcomes had at least one risk factor; 78% of persons who died had at least four." They would have been de-platformed during the last two years for Tweeting this information. Today I will discuss some of the reasons the authorities are reversing their stance on the pandemic.

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The Truth Behind The Claim That Viagra Prevents Alzheimer's Disease By 69%

Much has been written about a new study that claims Viagra can reduce the incidence of Alzheimer’s disease by as much as 69%. I purchased the study and took a look at their data. I liked the study and the researchers are reporting their findings with accuracy. The problem is they are using standard statistics to describe their findings. To the unsuspecting public, it may appear as if a new miracle cure has been found. Sadly, this is far from the case. I am, however, excited about their findings. Let’s take a look at their findings.

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The Best Way To Predict Heart Attack Risk

Many traditional ways of measuring your risk for having a heart attack are not nearly as accurate as many believe. For example, many believe that our total cholesterol and LDL are the best indicators for heart disease, but the association is weak. As far back as 1964, Garrett, Horning, and Creech found no definite correlation between serum cholesterol levels and the nature and extent of atherosclerotic disease. They published their findings in the Journal of the American Medical Association. The famous Framingham heart study concluded in 1977 that HDL was a much better predictor of heart disease than LDL, and total cholesterol was not associated with any risk. In 1997, The Lancet published a paper on the elderly that showed for each 18 mg/dl increase of cholesterol, the chance of death went down by 15%. Amazingly, they also found that mortality from cancer and infection was significantly lower among the participants in the highest total cholesterol category. We believe these readings to be the best way to predict heart disease because we have been told to. Today I will show you some more statistical hocus pocus that helped promote these tests, and tell you about a much more accurate one you should get.

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