Yeah, that was a typo. I've read his works and he's an excellent writer. He rightly excoriates the West for its shameful and sinful lack of concern for the Martryred Holocaust of Poor Christian Russia. Pathetic. Only the Papacy and only a few distinguished Good Men cared for what was happening in Russia.
Now, since this thread is on Evolution, moving the post on the fossil issue here as we work it out. Just re-posting it here now, and will get back later.
"Under those conditions, there should be at bare minimum 10 times as many fossils of N3 as of N2, and 1000 times of N3 as of N1. Even that's a vast under-estimate, because Population would grow extremely large, at accelerating rates, across those vast timescales. Next, any statistically significant deviation from these Mean Values - and that's why we'd formulate the Null Hypothesis - shows Evolution is most probably a false explanation of actual real-world physical data - the Alternative Hypothesis.
You should read about the Statistical Field of Hypothesis Testing.
"A statistical hypothesis test is a method of statistical inference used to decide whether the data at hand sufficiently support a particular hypothesis. Hypothesis testing allows us to make probabilistic statements about population parameters ...
The p-value was devised as an informal, but objective, index meant to help a researcher determine (based on other knowledge) whether to modify future experiments or strengthen one's faith in the null hypothesis.[3] Hypothesis testing (and Type I/II errors) was devised by Neyman and Pearson as a more objective alternative to Fisher's p-value, also meant to determine researcher behaviour, but without requiring any inductive inference by the researcher.[4][5]"
https://en.wikipedia.org/wiki/Statistica...is_testing"
Now, since this thread is on Evolution, moving the post on the fossil issue here as we work it out. Just re-posting it here now, and will get back later.
"Under those conditions, there should be at bare minimum 10 times as many fossils of N3 as of N2, and 1000 times of N3 as of N1. Even that's a vast under-estimate, because Population would grow extremely large, at accelerating rates, across those vast timescales. Next, any statistically significant deviation from these Mean Values - and that's why we'd formulate the Null Hypothesis - shows Evolution is most probably a false explanation of actual real-world physical data - the Alternative Hypothesis.
You should read about the Statistical Field of Hypothesis Testing.
"A statistical hypothesis test is a method of statistical inference used to decide whether the data at hand sufficiently support a particular hypothesis. Hypothesis testing allows us to make probabilistic statements about population parameters ...
The p-value was devised as an informal, but objective, index meant to help a researcher determine (based on other knowledge) whether to modify future experiments or strengthen one's faith in the null hypothesis.[3] Hypothesis testing (and Type I/II errors) was devised by Neyman and Pearson as a more objective alternative to Fisher's p-value, also meant to determine researcher behaviour, but without requiring any inductive inference by the researcher.[4][5]"
https://en.wikipedia.org/wiki/Statistica...is_testing"
