It is easy to find religious apologists, and even a physicist,
positing "evidence" showing that there probably is a god. These
attempts usually use some sort of mathematical calculation, like a
variation of the Drake Equation or Baysian Analysis for example.
However, all of these attempts ignore the fact that there is no
evidence for any god. Therefore, the denominator in the calculations is
zero (0). Whenever a number is divided by zero, the results are "undefined." In other words, the results have no meaning.
Human knowledge has progressed exponentially since the dawn of modern science. It is no longer reasonable to accept claims without sufficient objective evidence. The harm from religion, alternatives to medicine, conservatism, and all other false beliefs will be exposed on this blog by reporting the findings of science. This blog will also reinforce what should be the basics of education: History, Civics, Financial Literacy, Media Literacy, and Critical/Science Based Thinking.
Showing posts with label Prior Probability. Show all posts
Showing posts with label Prior Probability. Show all posts
Friday, September 16, 2016
Tuesday, June 21, 2016
Improbability
"We can unconsciously increase the odds of a “rare” event occurring by
post hoc analysis, open ended criteria (wiggle room), and mining large
sets of data. In fact, we are inherently good at doing all of these
things. We might call the overall process pattern recognition. Our
brains evolved to make connections, to see patterns, and then to imbue
them with meaning."
The Improbability Principle
The Improbability Principle
Friday, January 8, 2016
Bayes Theorem 101
"Bayesian analysis is an important concept for any scientist and skeptic to understand. It is extremely practical and is already used
(whether or not it is explicitly named) in professions that need to deal with probability in a practical way, such as in medicine.
"Bayes Theorem makes explicitly clear several skeptical principles, including the need to consider predictive value, the impact of false positives, the need to consider an alternative hypothesis, and the need to put statistical significance into its proper context.
"In many ways, a Bayesian approach to knowledge is a skeptical approach."
http://theness.com/neurologicablog/index.php/what-is-bayes-theorem/
"Bayes Theorem makes explicitly clear several skeptical principles, including the need to consider predictive value, the impact of false positives, the need to consider an alternative hypothesis, and the need to put statistical significance into its proper context.
"In many ways, a Bayesian approach to knowledge is a skeptical approach."
http://theness.com/neurologicablog/index.php/what-is-bayes-theorem/
BTW, it can't be used to support claims of miracles. (link)
Tuesday, May 12, 2015
Defending Prior Probability
"If you think your pet theory is unfairly being rejected by considerations of prior probability, you can whine about prior probability, or you can create high quality evidence that convinces the skeptics."
Prior probability is one area in which science-based medicine is in disagreement with evidence-based medicine.
http://theness.com/neurologicablog/index.php/in-defense-of-prior-probability/
Prior probability is one area in which science-based medicine is in disagreement with evidence-based medicine.
http://theness.com/neurologicablog/index.php/in-defense-of-prior-probability/
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