This book made my head hurt, but in a really good way. Though its a tough read for a layperson, it does make a good argument for a rational method to test historical claims. Way to go Dr. Carrier! It’s a very thorough treatment of the subject, but man, there’s some serious dead-horse flogging going on. I recommend a lot of coffee, but, whatever it takes, soldier on! It’s really worth it.
For works like this, reading it as an eBook is the best option because you have immediate access to a dictionary and to on-line reference sources. I’m off to read the companion volume now!
Proving History: Bayes's Theorem and the Quest for the Historical Jesus
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– Unabridged
Richard Carrier
(Author, Narrator),
Pitchstone Publishing
(Publisher)
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©2012 Richard C. Carrier (P)2014 Pitchstone Publishing
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Listening Length13 hours and 4 minutes
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Publication dateJanuary 29, 2014
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LanguageEnglish
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PublisherPitchstone Publishing
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ASINB00I47JW50
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VersionUnabridged
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Program TypeAudiobook
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Product details
| Listening Length | 13 hours and 4 minutes |
|---|---|
| Author | Richard Carrier |
| Narrator | Richard Carrier |
| Audible.com Release Date | January 29, 2014 |
| Publisher | Pitchstone Publishing |
| Program Type | Audiobook |
| Version | Unabridged |
| Language | English |
| ASIN | B00I47JW50 |
| Best Sellers Rank |
#40,168 in Audible Books & Originals (See Top 100 in Audible Books & Originals)
#17 in Historiography (Audible Books & Originals) #46 in Christology (Audible Books & Originals) #61 in New Testament Bible Study (Audible Books & Originals) |
Customer reviews
4.2 out of 5 stars
4.2 out of 5
119 global ratings
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Reviewed in the United States on July 27, 2019
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3 people found this helpful
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Reviewed in the United States on August 15, 2016
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An excellent survey of the state of Jesus studies, the problems with its methods, and a promising solution. As a mathematician, maybe I'm biased, but I think every field of inquiry--even in the humanities--benefits from becoming "mathier." And, as Carrier points out, the underlying framework of Bayes' Theorem is already present in all correct historical reasoning: it can only get better if historians use it consciously, rather than unconsciously.
One criticism I have is the way the author has occasionally misrepresented the difficulty of the material. Carrier has often said that this book requires some math, but that it's only "sixth-grade math." That isn't really true: certainly, you can plug numbers into the Bayes' formula and calculate the answer without knowing any more than that, but to really follow some of the arguments he makes in the book requires much more understanding of probability theory.
One criticism I have is the way the author has occasionally misrepresented the difficulty of the material. Carrier has often said that this book requires some math, but that it's only "sixth-grade math." That isn't really true: certainly, you can plug numbers into the Bayes' formula and calculate the answer without knowing any more than that, but to really follow some of the arguments he makes in the book requires much more understanding of probability theory.
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4.0 out of 5 stars
Not for the complete novice, but a very good tool for historians and historiographers.
Reviewed in the United States on July 22, 2016Verified Purchase
As a trained historian [though not practicing] I give the author and the text high marks for organizing in a more scientific way the historiographic methods that I learned in a way that was almost more art than science. This particular work is very heavy on formulae, which would make it a bit difficult for the casual reader. The formulae are part of the Bayes Theorem which is thoroughly explained with both formulae and textual explanation. The difficult parts can be read around, especially if the reader has some grounding in historiography, critical thinking, and possibly in civics, anthropology and sociology.
The reason why these would be helpful is that the core of the discussion is in how to correctly assess or evaluate evidence and understand it in context. For lovers of history, it is necessary to have some experience weighing different interpretations of historical events. A keeper.
The reason why these would be helpful is that the core of the discussion is in how to correctly assess or evaluate evidence and understand it in context. For lovers of history, it is necessary to have some experience weighing different interpretations of historical events. A keeper.
4 people found this helpful
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Reviewed in the United States on October 16, 2015
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Dr. Carrier makes an interesting case for the view that any valid methodology of historical analysis reduces to the proper application of Bayes' Theorem. He further argues that knowledge should be understood non-factively (although he does not use this terminology) such that knowledge does not entail truth, but only that which is very probably true. Probability is understood subjectively, i.e. in terms of degrees of psychological certainty. Dr. Carrier devotes the final chapter of his book to defending this subjective account of probability in the context of Bayes' Theorem.
One slight point of disagreement that I have with Dr. Carrier concerns his remarks concerning the "brain in a vat" hypothesis - well known to students in undergraduate philosophy (particularly, theory of knowledge) classes. Dr. Carrier alleges that the BIV hypothesis is an instance of the "possible entails probable" fallacy. According to the BIV hypothesis, it is logically possible that one might really be a brain in a vat (with no physical body, and all of one's sensory experiences delivered artificially to one's brain via e.g. the super-computer of a malevolent futuristic neuroscientist - the counterpart of Rene Descartes' malignant demon of the Meditations). Dr. Carrier argues that unless one has some evidence for this BIV idea, one is justified in rejecting it as much too improbable to be taken seriously.
However contrary to Dr. Carrier's view (page 27) the BIV hypothesis does not fallaciously argue from possibility to probability. Rather, the conclusion drawn by radical skeptics is that one can't know that one has a physical body, and one can't know one is a BIV either - all one has is uncertainty with no greater probability for the truth of either hypothesis. As I explain below, this position of uncertainty is the one that is actually supported by a Bayesian analysis of the situation - not Dr. Carrier's view that the truth of the BIV hypothesis is very improbable.
If we apply Bayes' Theorem to the BIV hypothesis, we find that the probability that the hypothesis (h) that one is a BIV is true is 0.5. The prior probability that h is true, given all one's background knowledge (b) would seem to be 0.5, since one does not know how often one's being a brain in a vat explains the evidence of one's sensory experience.
The consequent probability of said evidence (e) given h and our background knowledge (b) is 1, since if h were true, one would have exactly the experiences that one does have (and even the strong feeling of certainty that one is not a brain in a vat, but rather that one has a real physical body).
Since the prior probability for h is 0.5, and the two priors must equal 1, the prior probability for ~h (i.e. that one is not a BIV) must also be 0.5. Lastly, the consequent probability that one would have the evidence one does have (one's sensory experience of seeming to have a body) given ~h and one's background knowledge is 1. One would have exactly the experiences one does have, if one were not a BIV.
So the probably of h given e and b is;
0.5 x 1, divided by [(0.5 x 1) + (0.5 x 1)]
which is:
0.5 divided by [0.5 + 0.5]
which is
0.5 divided by 1,
i.e. 0.5
In other words, from a Bayesian point of view, one ought to give as much credence to the BIV hypothesis as to the alternative "common sense" hypothesis (see e.g. G.E. Moore). In my opinion, this conclusion does not help the theist in any way since if one is a BIV then all of the information one has regarding an external world (in particular the Bible) is unreliable, and if Dr. Carrier's views are correct and unaffected by my comments here (ceteris paribus), all of his criticisms of historical method (in particular, regarding the historicity of Jesus) still pertain.
I highly recommend Dr. Carrier's book.
One slight point of disagreement that I have with Dr. Carrier concerns his remarks concerning the "brain in a vat" hypothesis - well known to students in undergraduate philosophy (particularly, theory of knowledge) classes. Dr. Carrier alleges that the BIV hypothesis is an instance of the "possible entails probable" fallacy. According to the BIV hypothesis, it is logically possible that one might really be a brain in a vat (with no physical body, and all of one's sensory experiences delivered artificially to one's brain via e.g. the super-computer of a malevolent futuristic neuroscientist - the counterpart of Rene Descartes' malignant demon of the Meditations). Dr. Carrier argues that unless one has some evidence for this BIV idea, one is justified in rejecting it as much too improbable to be taken seriously.
However contrary to Dr. Carrier's view (page 27) the BIV hypothesis does not fallaciously argue from possibility to probability. Rather, the conclusion drawn by radical skeptics is that one can't know that one has a physical body, and one can't know one is a BIV either - all one has is uncertainty with no greater probability for the truth of either hypothesis. As I explain below, this position of uncertainty is the one that is actually supported by a Bayesian analysis of the situation - not Dr. Carrier's view that the truth of the BIV hypothesis is very improbable.
If we apply Bayes' Theorem to the BIV hypothesis, we find that the probability that the hypothesis (h) that one is a BIV is true is 0.5. The prior probability that h is true, given all one's background knowledge (b) would seem to be 0.5, since one does not know how often one's being a brain in a vat explains the evidence of one's sensory experience.
The consequent probability of said evidence (e) given h and our background knowledge (b) is 1, since if h were true, one would have exactly the experiences that one does have (and even the strong feeling of certainty that one is not a brain in a vat, but rather that one has a real physical body).
Since the prior probability for h is 0.5, and the two priors must equal 1, the prior probability for ~h (i.e. that one is not a BIV) must also be 0.5. Lastly, the consequent probability that one would have the evidence one does have (one's sensory experience of seeming to have a body) given ~h and one's background knowledge is 1. One would have exactly the experiences one does have, if one were not a BIV.
So the probably of h given e and b is;
0.5 x 1, divided by [(0.5 x 1) + (0.5 x 1)]
which is:
0.5 divided by [0.5 + 0.5]
which is
0.5 divided by 1,
i.e. 0.5
In other words, from a Bayesian point of view, one ought to give as much credence to the BIV hypothesis as to the alternative "common sense" hypothesis (see e.g. G.E. Moore). In my opinion, this conclusion does not help the theist in any way since if one is a BIV then all of the information one has regarding an external world (in particular the Bible) is unreliable, and if Dr. Carrier's views are correct and unaffected by my comments here (ceteris paribus), all of his criticisms of historical method (in particular, regarding the historicity of Jesus) still pertain.
I highly recommend Dr. Carrier's book.
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Reviewed in the United States on June 27, 2017
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Like everything Richard Carrier writes, this book is absolutely brilliant. It is densely packed with information, intelligent arguments and common sense. The bibliography and notes refer the reader to hundreds of worthwhile sources of further information, and I plan to read as many as I can obtain. This book takes concentration, and I must admit I didn't understand absolutely everything, but I understood most of it and it was great. It's among the best books I've ever read, and that's a lot of books.
4 people found this helpful
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Reviewed in the United States on October 9, 2015
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This is the "prequel", as it were, to the author's "On the Historicity of Jesus: Why We Might Have Reason for Doubt". It shares with that book the high erudition and clear-mindedness that is required in such a controversial subject. "Proving History" is more technical, more "academic" than its partner and is basically a long and detailed exposition of the application of Bayes' Theorem to historical analysis. The result is that many classical analysis techniques are completely subsumed and usually improved by Bayesian theory, giving a sound mathematical basis to such methods and moving historical study closer to the "hard" sciences in its use of statistical analysis. Much of the text is clearly aimed at professional historians and may be a slow-go for casual readers, but is nevertheless intellectually interesting. It certainly convinces one that the methods used in the second book are logically valid and thereby strengthens that book's otherwise startling conclusions.
4 people found this helpful
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Top reviews from other countries
John Harbord
5.0 out of 5 stars
This is an intreguing read with a very ambitious aim ...
Reviewed in the United Kingdom on August 19, 2016Verified Purchase
This is an intreguing read with a very ambitious aim. It is well structured and clearly argued, and the more you reflect on each issue the more appealing his claims become. It does not resolve all historical disputes. It does not pretend to. It makes it very clear that the method prescribed is not a cure all. What it does do is focus the mind on the nature of historical evidence and argumentation.
2 people found this helpful
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keith jones
5.0 out of 5 stars
Math on JC.
Reviewed in the United Kingdom on September 25, 2017Verified Purchase
It took a bit of time for me to get my head around the math. However for me it has changed how I review history.
2 people found this helpful
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Post enlightenment
5.0 out of 5 stars
Rivetting account of how to break down a time worn ...
Reviewed in the United Kingdom on September 28, 2015Verified Purchase
Rivetting account of how to break down a time worn legend into its constituent parts and assign realistic probabilities to the legend. Result is it is more likely that JC was a fictitious character and less likely that the account is legend accredited to a historical person.
4 people found this helpful
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Frank
5.0 out of 5 stars
Highly recommended
Reviewed in the United Kingdom on March 5, 2020Verified Purchase
Every academic and everyone who wants to argue according to the evidence and not off the top of their head should read this. Unfortunately standards of critical scholarship are declining fast in Western universities. Accepting Carrier's challenges will revive them.
Peter Marchant
4.0 out of 5 stars
I found the logic inexorable but the maths difficult yet ...
Reviewed in the United Kingdom on November 18, 2015Verified Purchase
I found the logic inexorable but the maths difficult yet I am sure this is a line of approach which must be accommodated in future. Extremely well written and well referenced.
2 people found this helpful
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