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Old 04-03-2012, 01:54 PM   #1
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Default Richard Carrier's Skepticon Bayes' Theorem presentation



It is a video about modeling all reasoning in terms of Bayes' Theorem. In the last half of the video, Carrier spills the disappointing (but realistic) news that his upcoming book, Proving History: Bayes's Theorem and the Quest for the Historical Jesus (or via: amazon.co.uk), will not actually attempt to prove anything about history using Bayes' Theorem, despite years of high mythicist hopes. Instead, he will use Bayes' Theorem to strike down some relevant arguments in favor of the historical Jesus. Only God knows how he will do that, but at least the stated goal of the book is no longer absurd on the face.
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Old 04-03-2012, 02:51 PM   #2
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Carrier split his project into two books. The first is methodology, the second one will actually address the historicity of Jesus.
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Old 04-03-2012, 04:46 PM   #3
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The usual garbled twaddle AA? You get more like your lowercase each post.
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Old 04-03-2012, 06:18 PM   #4
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The usual garbled twaddle AA? You get more like your lowercase each post.
Oh, that is really going for the jugular!

My brother alerted me to this video by email, and in reply I explained my thoughts about the video more fully.
A lot of debates about the historical Jesus on the web contain anticipation of Richard Carrier's book, formerly promised to decide the matter of whether or not Jesus existed using Bayes' Theorem, but now promoted by Carrier in this video, apparently, just to strike down using Bayes' Theorem some bad arguments for the historical Jesus without promoting better arguments. This would probably be more realistic.

Proving an argument for or against the historical Jesus using Bayes' Theorem would not be easy. Bayes' Theorem is useful for repeated observations of very similar phenomena (related algorithms of hypothesis testing are used by data processing software routinely in my field), but almost anything in history happens only once, ancient historical evidence is almost entirely written language, and judgments of probability based on linguistic evidence come out of a set of mental computations that require either a human brain or a supercomputer installed with a futuristic AI program. Knowledge of the probable meaning of any phrase anywhere requires not just the meanings of the individual words in the phrase but knowledge of the grammar of the whole language, the literary context, and the social context. All of that data (a data set that happens only once) feeds and combines into a monstrous mental process that has not come close to being distilled into a known mathematical algorithm of any sort, let alone something as simple as Bayes' Theorem.

Richard Carrier is a smart guy, but he has no background in statistical science or mathematics, presumably since high school (there are other academics who have made the philosophical application of Bayes' Theorem the focus of their careers for decades). It is a problem not just for ancient history but in almost any relevant debate. Bayes' Theorem is not even appropriate for the Riddle of Epicurus, because Carrier's argument presumes that human beings are closely-analogous to the gods (with the same perspectives of good and evil).

And I don't accept Carrier's claim that all of our reasonable thinking is a form of the application of Bayes' Theorem. If our mental processes of reasoning can be statistically modeled, it would require a helluva lot more than Bayes' Theorem, no matter how many terms you include in the equation, because not all (nor even most) of our best judgments of probabilities are based on a populated array of similar data points. I suspect that the most useful thing Richard Carrier can do with such ideas is to start a personality cult. He is already well on his way, apparently.
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Old 04-03-2012, 07:50 PM   #5
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The usual garbled twaddle AA? You get more like your lowercase each post.
Oh, that is really going for the jugular!
Yes, perhaps a little strong. At least I have not placed you on my ingnore list.
Quote:
Richard Carrier is a smart guy, but he has no background in statistical science or mathematics, presumably since high school
Not so. Note that his specialty is concerned largely w/r Ancient Scientific writings. He has done a number of tertiary stats units and various other related matters.
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Originally Posted by Carrier
Since I am applying a mathematical theorem to the logic of historical argument, it's often asked what my qualifications are in mathematics, since my primary field (my Ph.D.) is ancient intellectual history (philosophy, religion, and science), and my secondary field (self-taught but professionally published) is philosophy. The answer is, I had the book formally peer reviewed by a professor of mathematics, and consulted with a few other professors of mathematics during its development. I also, of course, researched the hell out of Bayes' Theorem for this book. My more general qualifications are some 20 or so college semester credits in mathematics and mathematical and engineering sciences, and a career background in electronics and the history of science. But the peer review and consults were more important.
Another common question is how "out of the mainstream" my conclusions are. Actually, in this book, they are fully in the mainstream, with the exception of the groundbreaking idea of structuring the logic of historical argument on a foundation of Bayes' Theorem, which is in many ways a natural progression of what's already been going on in expanding the applications of that theorem. I'm just the first expert in the humanities to come along who also loves math and knows enough about it to introduce it there. But the rest of the book's conclusions simply reaffirm what countless insider specialists have already been saying (and I name and cite plenty of them to prove that), and using Bayes' Theorem to show why they're right.
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And I don't accept Carrier's claim that all of our reasonable thinking is a form of the application of Bayes' Theorem. If our mental processes of reasoning can be statistically modeled, it would require a helluva lot more than Bayes' Theorem, no matter how many terms you include in the equation, because not all (nor even most) of our best judgments of probabilities are based on a populated array of similar data points.
I am a physicist and have been interested in his historical applications ever since I encountered them on this forum back in 2005 or whenever. I understand your doubts but think that you are clearly incorrect. There are many highly developed apps of BaysT.

I read the draft of PH some years ago and am currently reading thru the finished product. The best thing would be for you to read Proving History.
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Old 04-04-2012, 11:02 AM   #6
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Oh, that is really going for the jugular!
Yes, perhaps a little strong. At least I have not placed you on my ingnore list.

Not so. Note that his specialty is concerned largely w/r Ancient Scientific writings. He has done a number of tertiary stats units and various other related matters.


Quote:
And I don't accept Carrier's claim that all of our reasonable thinking is a form of the application of Bayes' Theorem. If our mental processes of reasoning can be statistically modeled, it would require a helluva lot more than Bayes' Theorem, no matter how many terms you include in the equation, because not all (nor even most) of our best judgments of probabilities are based on a populated array of similar data points.
I am a physicist and have been interested in his historical applications ever since I encountered them on this forum back in 2005 or whenever. I understand your doubts but think that you are clearly incorrect. There are many highly developed apps of BaysT.

I read the draft of PH some years ago and am currently reading thru the finished product. The best thing would be for you to read Proving History.
OK, I'll do that, on your recommendation. Cheers!
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