"Now, all eyes are on the coronavirus numbers, which economists & investors using to estimate the outbreak’s toll—& they are too perfect to mean much."
What does this mean for investors and analysts? If something seems too good to be true, it probably is. barrons.com/articles/china…
What does this mean for investors and analysts? If something seems too good to be true, it probably is. barrons.com/articles/china…
A statistical analysis of China’s coronavirus casualty data shows a near-perfect prediction model that data analysts say isn’t likely to naturally occur, casting doubt over the reliability of the numbers being reported to the @WHO
Barron’s re-created regression analysis of total deaths caused by #coronavirus and found similarly high variance. The high r-squared means there is essentially zero unexpected variability in reported cases day after day.
"Never in my years seen an r-squared of 0.99. As a statistician, it makes me question the data. Real human data never perfectly predictive when it comes to something like
an epidemic since there are countless ways that a person could come into contact with the virus. - Goodman
an epidemic since there are countless ways that a person could come into contact with the virus. - Goodman
