Showing posts with label Bayes Theorem. Show all posts
Showing posts with label Bayes Theorem. Show all posts

Sunday, November 1, 2015

Richard Carrier and The Bayes Craze (part 2)


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Part 1 to this article)

Richard Carrier wants to indict all historiography not based upon Bayes Theorem. Carrier reasons that we can think of the past as future in those areas where we don't have the info. (see part 1). The problem is past events can't be quantified as to their probability because they happened. We may not know the outcome and we think of the likelihood or unlikelihood of an event, but the more information we get the less probable it becomes, yet I'm talking about events that happened. Events that we know happened are not probable they are done deals. The future is not like that because future events are always probable until they happen. We can wind up thinking event X is not likely to have happened when it did happen. An example, how likely is it that an eye witness to a great battle would get the date wrong? Yet Josephus did. The problem is what assumptions do we make (with Bayes where to set the prior probability). I think that's the real reason historians never put numbers to historical probability.

I base this upon a discussion with my old professor, Church historian William S. Babcock, although he never used Bayes for history but he was a math major at Brown. He says history is always matter of probability but we don't put numbers top historical probability because there is no way to know what numbers to put. In order to start the process of using Bayes you have to know something definite. In dealing with the past one is not dealing with a true probability but with an unkown which is actually happened. If we find it happened it's not probable. Until we do find that we don't know what assumption to make.There are only certain things for which Bayes can be used.

R. Joseph Hoffmann says:
What is known by people who use Bayes’s theorem to advantage is that there are only certain conditions when it is appropriate to use it. Even those conditions can sound a bit onerous: In general, its use is warranted when a problem warrants its use, e.g. when:

•The sample is partitioned into a set of mutually exclusive events { A1, A2, . . . , An }.
•Within the sample space, there exists an event B, for which P(B) > 0.
•The analytical goal is to compute a conditional probability of the form: P ( Ak | B ).
•You know at least one of the two sets of probabilities described below. •P( Ak ∩ B ) for each Ak
•P( Ak ) and P( B | Ak ) for each Ak ...The key to the right use of Bayes is that it can be useful in calculating conditional probabilities: that is, the probability that event A occurs given that event B has occurred. Normally such probabilities are used to forecast whether an event is likely to occur...

So far, you are thinking, this is the kind of thing you would use for weather, rocket launches, roulette tables and divorces since we tend to think of conditional probability as an event that has not happened but can be predicted to happen, or not happen, based on existing, verifiable occurrences. How can it be useful in determining whether events “actually” transpired in the past, that is, when the sample field itself consists of what has already occurred (or not occurred) and when B is the probability of it having happened? Or how it can be useful in dealing with events claimed to be sui generis since the real world conditions would lack both precedence and context?[1]...
That's where Carrier tries to think of the past like the future."To put it crudely: Not knowing whether something will happen can be treated in the same way as not knowing whether something has happened by jiggering the formula. Managed properly, he is confident that Bayes will sort everything out in short order:"?[2]

Carrier puts it:
If you treat every probability you assign in the Bayesian equation as if it were a syllogism in an argument and defend each premise as sound (as you would for any other syllogism) Bayes’s theorem will solve all the problems that have left [Gerd] Theissen and others confounded when trying to assess questions of historicity. There is really no other method on the table since all the historicity criteria so far have been shown to be flawed to the point of being in effect (or in fact) entirely useless. ).:"?[3]
I may have made this point in part 1, Hoffmann makes it as well: If all the historical works of the past is useless upon what, pray tell, does one set the prior? If t5he data used for Bayes is useless then Bayes is useless as well. More importantly, Hoffmann points out, "Bayes does not generate criteria and method; it depends on them, just as the solution to Marie’s dilemma depends on real world events, not on prophecy."[4]

Hoffmann tells an anecdote that his former student was speaking of Carrierer's assertion thqat Bayes can be used "where no 'real world data and conditions' can be said to apply." The Student remarked, "Is this insistence [Carrier’s] of trying to invoke Bayes’ theorem in such contexts a manifestation of some sort of Math or Physics envy? Or is it due to the fact that forcing mathematics into one’s writings apparently confers on them some form of ‘scientific’ legitimacy?"[5]

At this point Hoffmann backs my assertion that Bayes, when applied to an area of belief for which we have little real data is entirely subjective. It's a matter of guessing and prejudice as to what basic assumptions to make. As he says plug in different values you get different answers. The next point he makes backs up my point about the illusion of technique. That is the point that it's a gimmick, he's trying to lend scientific credibility to his opinions. "Do there exist good reasons to suppose the methods commonly used in different areas that have grown over time are somehow fatally flawed if they are not currently open to some form of mathematization?"(Emphasis mine).[6]

In his review of Carrier's book James McGrath emphasizes applying Bayes to history is just a matter of applying formal logic to historical reasoning."It does not turn history into mathematics, but nor does it guarantee that those who purport to use it will always manage to adequately assess their own blind spots, shortcomings, and clutching at straws in an attempt to reach a desired conclusion."[7]

In one respect I disagree with McGrath. He says that in using Bayes for history, those who do are not being less precise and that Carrier rightly (according to him) points out that numbers lurk behind the assessments of all historians."All probabilities that historians currently use have numbers hidden behind them, as Carrier emphasizes. And so it is useful to be forced to articulate more clearly whether we think that the likelihood is closer to 70% or closer to 90%..."."[8]

There's a lot wrong with this. First, I disagree that they have numbers behind them. What they really have behind them is events that are not probable but have already happened. In trying to attach numbers that can't be there they are merely trying to ad a verification they don't really have and can't have. All the numbers really tell us is what our guesses are. Secondly I don't think we need the pretense of numbers to force u8s to clarify because we choose according to our prejudices so the numbers only serve to reinforce our prejudices. The numbers enable us to rationalize our prejudices and give them the illusion of scientific acuity.

For some reason McGrath tried to be conciliatory to Carrier and it's absurd. He says:

If the internet mythicists of today were to take this advice to heart, they might work on trying to actually publish scholarly works in appropriate venues, instead of complaining about their being dismissed in a manner that Carrier rightly says is appropriate when people without relevant expertise try to bypass peer review and scholarly discussion and promote their ideas directly to a public ill prepared to assess them...."[9]
Carrier has tried to involve some academics in his work but if he has done peer reviewed work in journals I don't see it. I do agree that Carrier has some good pointds but then he ruins it by makes such strident claims. He essentially says he's the nly valid historian. If that's not snearing at peer review I don't know what is. Then I go over to The Secular Outpost to argue with Lowder some more and find someone illustrating the kind of thing I' talking about in the use of Bayes. Those outpost guys are mad for Bayes. The context here is argument over resurrection. One of them says:
Jesus didn't appear to anyone. The dead do not appear. For that matter, many of the followers of Satya Sai Baba (not just some ancient books that claim that the followers claimed that) claim that he appeared to them, etc. - but he didn't; neither did Jesus.One may simply point out that the resurrection did not happen, on account of the astronomically slim prior probability, [emphasis mine] and the lack of any evidence sufficient to overcome that, or even coming close to overcome that, or even to introduce reasonable doubt. The probability that Jesus was never crucified - even if low - is surely much higher than the probability that he resurrected, even if counting all of the evidence or alleged evidence in support of the crucifixion.
I have to wonder if this guy understands the concept of probability. He doesn't understand the concept of miracles. Probability is just odds given the number of chances that a thing will occur. While a miracle is something impossible, that is not supposed to happen; something that left to its own devises nature could never come up with on its own. Miracles have no probability they are impossible. God is either necessary or impossible. God cannot be a maybe God cannot be something that might or might not have existed. If God exists he has to exist and if God does not exist (apologies to Paul Tillich)[10] it's because it's impossible for there to be God. So in setting a prior for God at all one is begging the question. There can't be a probability for something that has to be or that if it is not, cannot be. This just illustrates my point that atheists refuse to study theology or ace the hard issues of theology.

1 R. Joseph Hoffmann, "proving what?," The New Oxonian: Religion and culture for the intellectually impatientPosted on May 29, 2012 Blog, URL:
https://rjosephhoffmann.wordpress.com/2012/05/29/proving-what/ (accessed 10/30/150)

following graduation from Harvard Divinity School and the University of Oxford, R. Joseph Hoffmann was tutor in Greek at Keble College and Senior Scholar at St Cross College, Oxford, and Wissenschaftlicher Assistant in Patristics and Classical Studies at the University of Heidelberg. He's an editor of Sources of the Jesus Tradition, Carrier is a contributor.

2 Ibid.

3 (Carrier, “Bayes Theorem for Beginners,” in Sources of the Jesus Tradition, Amherst NY:Prometheus Books, R. Joseph Hoffman (ed.), 2010 - Religion 107.

4 Hoffmann, Ibid.

5 Ibid.

6 Ibid..

7 James F. McGrath, "Review of Richard C. Carrier, Proving History."August 7, 2012, Exploring Our Matrix, blog, URL:
http://www.patheos.com/blogs/exploringourmatrix/2012/08/review-of-richard-c-carrier-proving-history.html (accessed 10/30/15). 8 Ibid..

9 Ibid.

10 Tillich believed in not using the term "existence" (or exist) in relation to God. Contingent things exist, God is not a thing existing in creation, God is the basis of all that is, being itself. Hartshorne did get him to accept the use of the term exist if it was used metaphorically.
I*'ve written extensively about this on Metacrock's blog, see "God and Being Itself," just one ofr many.


Friday, October 30, 2015

Richard Carrier and The Bayes Craze


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The Revd Thomas Bayes, 1701-1761
"The current discussion among Jesus-deniers and mythicists over whether probability in the form of Bayes’s Rule can be used in historical research is more than a little amusing. The current fad is largely the work of atheist blogger and debater Richard Carrier who despite having a PhD in ancient history likes to tout himself as a kind of natural science cum mathematics cum whachagot expert." --Hoffman, The New Oxonian


I've been missing the fun of message boards, those lovable wacy atheists using Bayes as a gimmick to afix the authority of science and mathematics to their subjective opinions. They can have the fun of insults on message boards, I am through with that. I must, however, through in my two cents because this is such a flagrant example of the Illusion of Technique.I allude to the concept by William Barrett in his book of the same name.[1] Technique is the basis of technological manipulation of reality, and the illusion of technique is the illusion that one is manipulating reality by manipulating the facts. The use of Bayes to replace discursive reasoning and so give the atheists and Jesus mythers a sense of victory is the gimmick of Richard Carrier in his book Proving History. I don't know who wrote th book ad but it betrays a certain arrogance:

Carrier's book add
This in-depth discussion of New Testament scholarship and the challenges of history as a whole proposes Bayes’s Theorem, which deals with probabilities under conditions of uncertainty, as a solution to the problem of establishing reliable historical criteria. The author demonstrates that valid historical methods—not only in the study of Christian origins but in any historical study—can be described by, and reduced to, the logic of Bayes’s Theorem. Conversely, he argues that any method that cannot be reduced to this theorem is invalid and should be abandoned.

"Carrier applies his philosophical and historical training to maximum effect in outlining a case for the use of Bayes’s Theorem in evaluating biblical claims. Even biblical scholars, who usually are not mathematically inclined, may never look at the ‘historical Jesus’ the same way again." -Dr. Hector Avalos, Professor of religious studies, Iowa State University, and author of , The End of Biblical Studies
The idea that "any method that cannot be reduced to this theorem is invalid and should be abandoned "may be the publisher's fantasy and not Carrier's idea at all but it is not only completely wrong but also a contradiction to the few historians who support using Bayes. More on that below. I also have to call attention to the blurb. Hector Avelos, my old sparing partner.[2] and poster on Loftus's Debunking Christianity blog, is an atheist activist who once tried to argue for closing down all of Biblical Scholarship. While the publisher Prometheus books is part of the atheist propaganda machine. That is the outfit that launched Loftus's career as an atheist activist when he shamed them itno publishing his book (he told me that story and I talked to his publisher--although they might not say "shamed").

Yet even though Carrier himself did not say that his own words are even more arrogant and strident.

Carrier in pdf

By Richard Carrier, Ph.D.
Visiting Lecturer for the Center for Inquiry Institute
Richmond, CA, USA
April 2012

"Several examinations of the methodologies employed in the study of Jesus have consistently found those methods invalid or defective. Which fact has resulted in the proliferation of endless different conclusions as to the nature of the historical Jesus and the origins of Christianity..." What studies? What is the problem with different views? This is nothing more than an attempt to reduce all knowledge to scientism and to give atheism the illusion of scientific authority. The so called studies he talks about are atheist Jesus myth polemics.[read about this Center for Inquiry Institute].But he gets even more strident:
Every expert who has specialized in examining these methods and published a study of them has come to this conclusion: Stanley Porter,[2] Dale Allison,[3] Hector Avalos,[4] and almost a dozen others[5]; even Gerd Theissen, who describes the common conclusion, that “there are no reliable criteria for separating authentic from inauthentic Jesus tradition,”[6] attempted to resist it, but his own effort to rehabilitate the method ultimately led him to agree with that consensus, concluding that the criteria simply don’t work, and some other method is needed to replace them, something that involves more general evaluations of plausibility, although he confesses he is not certain how to formally do that....
To me De Lorean (back to the future car guy) did a study of air bags by examining all the data from scientific tests. I know Dale Allison did not have any data to study from scientific tests examining the validity of Jesus' historicity. He says every expert has come to the same conclusion I know that's just BS because Luke Timothy Johnson wrote a book debunking the Jesus seminar and used the methods they are against. They are against those methods because they negate their assertion about Jesus existing in history. Or again:
Chris Keith and Anthony LeDonne, titled Jesus, Criteria, and the Demise of Authenticity(T & T Clark, 2012), and featuring such luminaries as Mark Goodacre and Morna Hooker, all coming to the same conclusion: the method of criteria is simply not logically viable. This leaves the field of Jesus studies with no valid method, and puts into question all consensus positions in the field, insofar as they have all been based, to one extent or another, on these logically invalid methods.
It's not as though no historians support him. There are a few, but only a handful. Neil Godfry).[3] talks about Aviezer Tucker‘s Our Knowledge of the Past: A Philosophy of Historiography(2004).[4]
That’s the subject of Aviezer Tucker‘s Our Knowledge of the Past: A Philosophy of Historiography (2004). Tucker’s interest is the relationship between the writing of history (historiography) and evidence (p. 8). It is written for audiences interested in philosophy, history, biblical criticism, the classics, comparative linguistics and evolutionary biology (p. 22).
Godfry goes on:

...the application of Bayes’ Theorem merely expresses in symbolic terms the way historians evaluate the nature of evidence and test hypotheses to explain evidence for certain events and artefacts. Some fearful critics have objected to the application of Bayes because they have never understood this fact...All Bayes’ theorem does is help us clarify our thinking. Bayes theorem is simply a symbolic way of expressing how we do our best thinking when seeking explanations for evidence or evaluating hypotheses against the evidence. The more complex the factors that need to be considered in addressing a problem the easier it is for us to overlook a critical point or draw invalid comparisons. Bayes’ helps us to clarify thinking about the most complex of issues, including those in the social sciences and history
There's the rube. It's doing what historians do anyway, but Dr. Carrier tells us what they do is useless unless they use Bayes, this is rather circular. If what they do is useless (ad above) and all Bayes does is clarify what they are doing then is just helping clarify the useless.

He gives an example

"The probability of the hypothesis that George Washington was the first president of the United States, given the massive amount of documentary evidence for it and background knowledge of the causal chains that led to this evidence, is almost 1. We are almost certain that George Washington was the first president.
Contrast this:

The probability of the hypothesis that Jesus was the founder of what became the Christian Church, given the massive documentary evidence for it and background knowledge of the causal chains that led to this evidence, is . . . ?

historians. (p. 96)

The Theorem

Tucker sets out Bayes’ Theorem thus:

Pr(H|E & B) = [Pr(E|H & B) x Pr(H|B)]:Pr(E|B)

Pr — the Probability of. . .

H — the Hypothesis, or any historical proposition about past events

E — the Evidence (often this means similarities between two or more independent sources)

B — the Background knowledge of theories, methods, other hypotheses

The vertical line | should be read as “given”. So the first part of the equation expresses:

The Probability of the Hypothesis being true given the evidence and background information.

Pr(H|E & B) translated into words:

The probability of the hypothesis that George Washington was the first president of the United States, given the massive amount of documentary evidence for it and background knowledge of the causal chains that led to this evidence, is almost 1. We are almost certain that George Washington was the first president.

Contrast this:

The probability of the hypothesis that Jesus was the founder of what became the Christian Church, given the massive documentary evidence for it and background knowledge of the causal chains that led to this evidence, is . . . ?

Unfortunately we have no background knowledge of the causal chains that led to the Gospels and writings of Paul. We only have other hypotheses (e.g. oral tradition) to fill in these gaps.
)[5]

Now h will have to prove that that's not enough. Atheists are always trying to hold believers to a standard to certain proof while they themselves never claim to meet such a standard. Bayes is certainly not going to give it to them.

Another example: early Christian studies example,

"If our evidence is Christian apologetic writings that claim to quote a letter from Jesus to the king of Edessa, it can be dismissed as a fabrication given all we know. If, however, we found the letter in scientifically verifiable archives of King Abgar of Edessa, it would be very surprising and lead to a serious rethink about Jesus and Christian origins."

I need this mathematical gimmick to tell me this? I have been aware of such letters and Gospels for 40 years and I've never given them credit. Those are not major sources for Jesus' historicity, we can do a lot better than that. For that matter we don't need a mathematician to notice that this same method that supposed to offer great objectivity and real historical proof is used to "prove" diametrically opposing views, Carrier says it disproves the existence of Jesus of Nazareth as a man in history; William Lane Craig says it proves he rose from the dead.[5] Neither Craig nor Carrier is an idiot. They both have advanced degrees from major universities, neither of them is in the dark about how Bayes works. Why the difference? Because they makes different assumptions as befits their ideologies, their beliefs, their biases. The initial problem is that the assumptions they make are made in the absence of real data, Bayes wont work in that space.
So there are two problems here when it comes to trying to apply Bayes Theorem to history: (1) Carrier and Craig need to treat questions of what happened in the past as the same species of uncertainty as what may happen in the future and (2) historical questions are uncertain precisely because we don't have defined and certain data to feed into the equation. Bayes Theorem only works in cases where we can apply known information. So, in the example above, we know how often it rains in a year and we know when the weather forecast is and isn't correct. So by inputting this meaningful data, we can get a meaningful result out the other end of the equation....Bayes Theorem's application depends entirely on how precisely the parameters and values of our theoretical reconstruction of a real world approximate reality. With a historical question, Carrier is forced to think up probabilities for each parameter he put into the equation. This is a purely subjective process - he determines how likely or unlikely a parameter in the question is and then decides what value to give that parameter. So the result he gets at the end is purely a function of these subjective choices...[7]
. I'm not even to the good criticisms yet. Stay tuned for next time (Monday?)



Sources

1 William Barrett, The Illusion of Technique: The Search for Meaning in a Technological Civilization, New York:Anchor, 1979, no page indicated.

2 Avalos is author of the book The End of Biblical Studies he is a professor of religious studies and teaches at University of Iowa. I had my own series of exchanges with him, challenged him to formal debate and he would not do it; he tried to answer me once I think he wished he had not.
see (all on Metacrock) Atheist Thought Police, Response to Avelos," Jan 17, 2008

"Critique of Hector Avelos's End of Biblical Criticism,"Feb 10, 2008

see Metacrock's blog, "Christianity, Force For Liberation," April 8, 2010,URL:
http://metacrock.blogspot.com/2010/04/christianity-force-for-liberation.html
I comment on Avelos's rhubarb with Helmutt Koester in "Hector Avelos Takes on Helmutt Koster," Metacrock's Blog, July 21, 20 10. http://metacrock.blogspot.com/2010/07/hector-avelos-takes-on-helmutt-koester.html

3 Neil Godfry,"real Historians do Bayes" Virdar, blog (July, 18, 2013) URL: http://vridar.org/2013/07/18/real-historians-do-bayes/ accessed 10, 29, 15.

4 Aviezer Tucker, Our Knowledge of the Past: A Philosophy of HistoriographyCambridge, London: Cambridge University Press (2004), no page indicated.

5 Godfry quoting Tucker, Ibid., in Tucker, 97.

6 Tim O'Neill, "what is your opinion on the use of Bayes Theorem to discover the best historical explanation for data we have as outlined by Richard Carrier?" Quora, blog, (17 Aug 2014) URL: https://www.quora.com/What-is-your-opinion-on-the-use-of-Bayes-theorem-as-a-tool-to-discover-the-best-historical-explanation-for-the-data-we-have-as-outlined-by-Richard-Carrier

7 Ibid.

Monday, October 28, 2013

Bayes Theorum And Probablity of God: No Dice!

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It is understandable that naturalistic thinkers are uneasy with the concept of miracles. So should we all be watchful not to believe too quickly because its easy to get caught up in private reasons and ignore reason itself. Thus has more than one intelligent person been taken by both scams and honest mistakes. By the the same token it is equally a  danger that one will remain too long in the skeptical place and become overly committed to doubting everything. From that position the circular reasoning of the naturalist seems so reasonable. There’s never been any proof of miracles before so we can’t accept that there is any now. But that’s only because we keep making the same assumption and thus have always dismissed the evidence that was valid.
            At this point most atheists will interject the ECREE issue (or ECREP—extraordinary claims require extraordinary evidence, or “proof”). That would justify the notion of remaining skeptical about miracle evidence even when its good. There are many refutations of this phrase, which was popularized by Karl Sagan. One of the major problems with this idea is that atheists rarely get around to defining “extraordinary” either in terms of the claim (why would belief in God be extraordinary? 90% of humanity believe in some form of God) [1] The slogan ECREE is usually said to be based upon the Bayes completeness theorem.  Sagan popularized the slogan ECREE but the mathematical formula that it is often linked to (but not identical to) was invented by the man whose name it bears, working in the  seventeen forties but then he abandoned it, perhaps because mathematicians didn’t like it. It was picked up by the great scientist and atheist Laplace and improved upon.[2] This method affords new atheism the claim of a “scientific/mathematical” procedure that disproves God by demonstrating that God is totally improbable. It is also used to supposedly disprove supernatural effects as well as they are rendered totally improbable.[3]
            It is often assumed that the theorem was developed to back up Hume’s argument against miracles. Bayes was trying to argue against Hume and to find a mathematical way to prove that there must be a first cause to the universe.[4] Mathematicians have disapproved of the theorem for most of its existence. It has been rejected on the grounds that it’s based upon guesswork. It was regarded as a parlor trick until World War II then it was regarded as a useful parlor trick. This explains why it was strangely absent from my younger days and early education as a student of the existence of God. I used to pour through philosophy anthologies with God articles in them and never came across it. It was just part of the discussion on the existence of God until about the year 2000 suddenly it’s all over the net. It’s resurgence is primarily due to it’s use by skeptics in trying to argue that God is improbable. It was not taught in math from the end fo the war to the early 90s.[5]
            Bayes’ theorem was introduced first as an argument against Hume’s argument on miracles, that is to say, a proof of the probability of miracles. The theorem was learned by Richard Price from Bayes papers after the death of the latter, and was first communicated to the Royal society in 1763.[6] The major difference in the version Bayes and Price used and modern (especially skeptical versions) is that Laplace worked out how to introduce differentiation in prior distributions. The original version gave 50-50 probability to the prior distribution.[7] The problem with using principles such as Bayes theorem is that they can’t tell us what we need to know to make the calculations of probability accurate in dealing with issues where our knowledge is fragmentary and sparse. The theorem is good for dealing with concrete things like tests for cancer, developing spam filters, and military applications but not for determining the answer to questions about reality that are philosophical by nature and that would require an understanding of realms beyond, realms of which we know nothing. Bayes conquered the problem of what level of chance or probability to assign the prior estimate by guessing. This worked because the precept was that future information would come in that would tell him if his guesses were in the ball park or not. Then he could correct them and guess again. As new information came in he would narrow the field to the point where eventually he’s not just in the park but rounding the right base so to speak.
            The problem is that doesn’t work as well when no new information comes in, which is what happens when dealing with things beyond human understanding. We don’t have an incoming flood of empirical evidence clarifying the situation with God because God is not the subject of empirical observation. Where we set the prior, which is crucial to the outcome of the whole thing, is always going to be a matter of ideological assumption. For example we could put the prior at 50-50 (either God exists or not) and that would yield a high probability of God.[8] Or the atheist can argue that the odds of God are low because God is not given in the sense data, which is in itself is an ideological assumption. It assumes that the only valid form of knowledge is empirical data. It also ignores several sources of empirical data that can be argued as evidence for God (such as the universal nature of mystical experience).[9] It assumes that God can’t be understood as reality based upon other means of deciding such as personal experience or logic, and it assumes the probability of God is low based upon unbelief because the it could just as easily be assumed as high based upon it’s properly basic nature or some form of elegance (parsimony). In other words this is all a matter of how e chooses to see things. Perspective matters. There is no fortress of facts giving the day to atheism, there is only the prior assumptions one chooses to make and the paradigm under which one chooses to operate; that means the perception one chooses to filter the data through.
            Stephen Unwin tries to produce a simple analysis that would prove the ultimate truth of God using Bayes. The calculations he gives for the priors are as such:
           
Recognition of goodness (D = 10)
Existence of moral evil (D = 0.5)
Existence of natural evil (D = 0.1)
Intra-natural miracles (e.g., a friend recovers from an illness after you have prayed for him) (D = 2)
Extra-natural miracles (e.g., someone who is dead is brought back to life) (D = 1)
Religious experiences (D = 2)[10]
This is admittedly subjective, and all one need do is examine it to see this. Why give recognition of moral evil 0.5? If you read C.S. Lewis its obvious if you read B.F. Skinner there’s no such thing. That’s not scientific fact but opinon. When NASA does analysis of gas pockets on moons of Jupiter they don’t start out by saying “now let’s discuss the value system that would allow us to posit the existence of gas.” They are dealing with observable things that must be proved regardless of one’s value system. These questions (setting the prior for God) are matters for theology. The existence of moral evil for example this is not a done deal. This is not a proof or disproof of God. It’s a job for a theologian, not a scientist, to decide why God allows moral evil, or in fact if moral evil exists. These issues are all too touchy to just blithely plug in the conclusions in assessing the prior probability of God. That makes the process of obtaining a probability of God fairly presumptive.


this article was criticized by Jeff Lowder: see

response part 1

part 2


[1] find, adherence.com
[2] Sharon Berstch McGrayne, The Theory that would not Die: How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy. New Haven: Yale University Press, 2011, 3.
[3] As seen with chapter (? Disprove) by Stenger and Unwin.
[4] McGrayne op cit
[5] ibid, 61-81
[6] Geoffrey Poitras, Richard Price, Miracles and the Origin of Bayesian Decision Theory pdf http://www.sfu.ca/~poitras/Price_EJHET_$$$.pdf
11/11/10.
Faculty of Business AdministrationSimon Fraser UniversityBurnaby, BCCANADA V5A 1S6. Geoffrey Poitras is a Professor of Finance in the Faculty of Business Administration at Simon Fraser University. Lisited 12/22/12.
[7] ibid
[8] Joe Carter, “The Probability of God” First Thoughts. Blog of publication of First Things. (August 18, 2010) URL: http://www.firstthings.com/blogs/firstthoughts/2010/08/18/the-probability-of-god/  visited (1/10/13). Carter points out that when Unwin (an atheist discussed in previous chapter) puts in 50% prior he gets 67% probability for God. When Cater himself does so he get’s 99%.Cater’s caveat: “Let me clarify that this argument is not intended to be used as a proof of God’s existence. The sole intention is to put in quantifiable terms the probabilities that we should form a belief about such a Being’s existence. In other words, this is not an ontological proof but a means of justifying a particular epistemic stance toward the idea of the existence or non-existence of a deity.The argument is that starting from an epistemically neutral point (50 percent/50 percent), we can factor in specific evidence for the existence or non-existence of a deity. After evaluating each line of evidence, we can determine if it is more or less likely that it would entail the existence of God.”
[9] Metacrock, "The Scale and The universal Nature of Mystical Experience," The religious a priroi blog URL: http://religiousapriori.blogspot.com/2012/10/the-m-sacle-and-universal-nature-of.html see also the major argument I sue for documentation in that article,  In P, McNamar (Ed.), Where God and science meet, Vol. 3, pp. 119-138. Westport, CT: Praeger. linked in Google preview.
[10] Stephen D. Unwin, The probability of God a Simple Calculation That Proves the Ultimate Truth. New York New York: Three Rivers Press, Random House. 2003, appendix 238



Wednesday, March 13, 2013

My Answer To Jeff Lowder on Bayes, Part 2

His part 2 answer to mine is here


....Before getting into specifics I think it's important to understand the basic difference between the orientation of a believer and a skeptic. The kind of skeptics that tend to make up most of the atheist ranks on the net are scientifically inclined people who view the world through the lens of some kind of scientific orientation. Believers tend to be more "liberal arts"oriented in that their top concerns are not scientific proof. I have observed time after time the atheist constantly a mistake in thinking that the reason to believe in God is because one needs to explain that world. That is catered to by God argument, but God arguments are attempts to reach out to others so they embody the concerns of non believers. The reason for belief in God is not to explain the world. Atheist think this so they always oriented things in those terms. This is will be important in the discussion below becuase Mr. Lowder is constantly saying things about hypothesis. one of my major arguments is that belief is not an hypothesis. It' snot an attempt to explain the world, at least not in the same kind of scientific terms. Thus the arguments he makes taht embody the idea of competing explanatory power are non applicable.
 ....Lowder never comes to terms with my core reason for assuming that Bayes can't deal with God. He seems to understand the basic reason itself but rather than answering it he puts it into a frame work that tries to cast aspersions on it then uses red herrings and white rabbits to divert attention form the inadequacy of not answering the issue:

Again, Metacrock claims that we can’t use BT to measure the probability of God’s existence. Why? Because BT is not good
for determining the answer to questions about reality that are philosophical by nature and that would require an understanding of realms beyond, realms of which we know nothing.
In other words, Metacrock seems to embrace a kind of so-called “skeptical theism,” according to which we don’t have sufficient knowledge in order to measure the probability of certain items of evidence on theism (such as, but not limited to, evil). That position is a double-edged sword, however, for it implies that we also don’t have sufficient knowledge to conclude that certain items of evidence (such as, say, fine-tuning) are more probable on theism than on naturalism.

 I'll accept that assessment provisionally for now. In response to it Lowder argues that we can use Bayes to undrstand God's existence. In so saying he's already lost becuase he doesn't understand where I'm coming from, which Tillich, and that means we can't speak of God "existing." So it sounds like he's got hold of the actual argument but really he doesn't deal with it. He's right that I think Bayes can't used to access the reality of God becuase God is beyond our understanding and not subject empirical data. He says this is wrong but then instead of proving other wise he shifts to a bait and switch. He says:

As Doug Hubbard writes, “We use probabilistic methods because we lack perfect data, not in spite of lacking it. If we had perfect data, probabilities would not be required.”[1] Furthermore, “It is a fallacy that when a variable is highly uncertain, we need a lot of data to reduce the uncertainty. The fact is that when there is a lot of uncertainty, less data is needed to yield a large reduction in uncertainty.”
 But that's in a different sense really. It's true that probability is used becuase we don't have specifics and we trying to find a general range by extrapolating inductively. That is not a guarantee that we can find it. Probability can only pertain to that which is within our grasp empirically. If we do not have empirical data of something we can't make a probability for it. On the other hand, if we have other reasons to see it as a certainty then it has no probability. A certainty is not probable. These are two separate reasons why BT can't tell us about God's reality. Especially since the certainty can't be understood in the empirical way that scinece demands. Just becuase we say we are getting at something doesn't' mean we really are. How can we know if we are, if it's beyond our understanding?
....O yes and here Lowder tries to play off Bayes using apologists and philosophers of religion:

Again, Metacrock argues that we don’t have empirical evidence about God and, again, Bayesian philosophers of religion (including theists, agnostics, and atheists) must disagree with him. Metacrock needs to study Richard Swinburne’s classic, The Existence of God.[3] Although I disagree with his conclusions, I largely agree with his overall Bayesian approach.

 No doubt I should study Swinburne. I know I'm missing a lot by not knowing his works. That's a real failing on my part. That doesn't mean that he's right here. It also doesn't mean that Lowder isn't sort of pulling a fast one by assuming Swinburne really thinks he has a certain method of proving God's "existence." Not know more about how he does it he could just be setting up co-determinate as I spoke of in the part. I'm not opposed to that method at all. Find a reason to think some aspect is a trace of God, such as religious experience, then use that as the indicator that you are dealing with God. That's not "proof" but it's "warrant for belief." The problem is if these philosophers of religion really think Bayes is just a direct root to proving God exists then that actually proves we can't be certain though Bayes. Lowder disagrees. Two schools are squared off, they both use this amazing mathematical miracle that's suppose to guarantee scientific truth for us and yet the results are broken down long ideological lines. Doesn't that really kind of indicate that people just see what they want to see and there's scientific precision there?
....Then he quotes me about the prior:
Where we set the prior, which is crucial to the outcome of the whole thing, is always going to be a matter of ideological assumption.
then he says:

With all due respect to Metacrock, this statement reveals that he simply doesn’t know what he is talking about. He needs to study the philosophy of science and specifically confirmation theory. According to the epistemic interpretation of probability, the probability of a statement is a measure of the probability that a statement is true, given some stock of knowledge.
 I'm glad he has such respect for me.I'm not sure what it's based upon. what it should be based upon is this: I did 10 years of Ph.D. work and half of that was in history ideas studying the history of scinece. He doesn't understand he history of scinece. He doesn't know what he's talking about because he's playing bait and switch. Look what he's done. He assumes that because he has a phony "confirmation theory" it aims at doing something that's proof that it does. Are we still talking about getting new information God. I don't think so. He's assuming we don't need new information because there's no God there to get info on so we know all about God we need to know. So he's just substituted the way the prior works in Bayes actual thinknig for an quick ideolgoical fix. He totally abandons the new information issue and asserts that because he has theories they must be true. He goes on:


 In other words, epistemic probability measures a person’s degree of belief in a statement, given some body of evidence. The epistemic probability of a statement can vary from person to person and from time to time (based upon what knowledge a given person had at a given time).[4] For example, the epistemic personal probability that a factory worker Joe will get a pay raise might be different for Joe than it is for Joe’s supervisor, due to differences in their knowledge.

 That's pretty useless. Epistemic probability is a measure of the degree of belief. I believe my stuff so I guess it's real probable.  None of this is a guarantee that we are going to get new info about God.
....Here he pulls an even more deeply seated bait and switch. He substitutes the assertion of rival explainations, where as they are not rival explain at all. They do not seek to explain the same things. Religious belief doesn't' seek to explain Newtonian physics or the reason for expansion of the singularity. When was the last time you heard a scientist try to explain sanctifying grace, or supererogatory merit? The only reason he can try to make them seem like rivals is through the reductionism of atheist ideology where all knowledge is reduced to the level that the reductionist can control. There's only one form of knowledge in that view, not scientific but only the exact science that supports atheist assertions. Thus anything else we just lose the phenomena then it doesn't exist it need not be considered. This part of the same tendency that reduces God to just one more fact in the universe. He thinks if he disbelieves God his universe is just like mine except minus one thing, God. When God is being itself the very fabric of the universe is altered if God is taken out. God is not just another fact but the basis of the whole. Since that can't be accessed through empirical means but must be experienced we are talking apples and oranges in a huge way on a huge scale. To then assert that we can stretch out knowledge over into this realm that is beyond us merely because we wish to is ridiculous. it's obvious what's really being done is the reductions hatchet job. Whatever aspects of reliability we can't subject our methods of truth regime building we just hack off and pretend like it doesn't' exist.
....Inside the deeper level bait and switch (the switch is the reductionist move the bait is talk about rival hypthesies) the quotes Drapper again:

The degree of modesty of a hypothesis depends inversely on how much it asserts (that we do not know by rational intuition to be true). Other things being equal, hypotheses that are narrower in scope or less specific assert less and so are more modest than hypotheses that are broader in scope or more specific.
 See the problem?  "other things" are not equal. We are comparing empirical data to "the heart" we are comparing scientific domain to philosophical, religious, and mystical domains, we are comparing objective to subjective, physical to spatial. There is no equal footing not epistemological, not noetically, no ontologically, not in any way. Then further he's speaking as everything is a hypothesis. Every aspect of knowledge and experience has to spindled, folded and mutilated and made to fit into the realm of science as a "hypothesis." I don't remember Madame Guyon every referring to sense of God's presence as "an hypothesis." I don't recall Dōgen Zenji calling satori "hypothesis." By the time you make the step to reduce reality to competing hypotheses you've already lost the phenomena and reduced away the mystical. To even formulate the issue in those terms is to create a palimpsest on the topic that has ruled out the very methodology through which new information about God could come. The other quotations he makes form Draper suffer form the same limitations. To put them into the form of competing hypotheses means a prori one is writing off through which the new information of God would come. This goes back to my observation at the top, the reason to believe in God is not explain the universe.


 The next quote form Drapper brings this home:

The degree of coherence of a hypothesis depends on how well its parts (i.e. its logical implications) fit together. To the extent that the various claims entailed by a hypothesis support each other (relative only to what we know by rational intuition), the hypothesis is more coherent. To the extent that they count against each other, the hypothesis is less coherent. Hypotheses that postulate objective uniformity are, other things being equal, more coherent than hypotheses that postulate variety, either at a time or over time
 There's no way one can make a rational comparison of God experience to objective data in those terms. They are going to work together and since the requirement is for an alien state of affairs from the point of view of new God info, that's going to be ejected up front. So you have two clashing world views and one has to subdue the other. The one you favor is going to bias the whole outcome. The only logical answer is not to seek God in scientific terms. Seek God on the terms has given us to seek him; in the heart. Either you are in or you are out. If you are out just say "I am out." don't try to pretend like "I have triumphed beaten the other side."
....Yet human nature will persist in it's insatiable quest to triumph and vanquish the foe. Lowser says:

The upshot is that the intrinsic epistemic probability of a hypothesis is entirely objective, not “a matter of ideological assumption” as Metacrock claims.
Holy proclamation Batman! What he really means is "we don't want it to be that way!" Maybe it will be?  Look at what assumptions have to be made to read the point of that statement: He thinks he can just declare that it's not ideology and it wont be because he says its not. If it is of course that statement is pure propaganda. Epistemic probability is entirely objective. That may be but objectivity itself is a pretense. There is no objectivity form a human standpoint. Obviously this bares the marks of a truth regime to just declare that it's objective. That is not grantee that it is. Moreover, just becuase the philosophical move he terms "epistemic probability" is objective doesn't rule out the bait and switch that got us to this point in the first place. It's based upon comparing world views as though they compete to explain the same things when they don't. That means the one he values is lauded as the better explanation becuase it's per selected to explain that which he deems should be explained. The reality the "competing" explanation explains are not not what he wants explained so he deems those "unimportant. non existence. imaginary, wrong," assumed this is their disproof.
....In effect here's what he's doing, it's really circular. He asserts that the only valid explanation is his becuase only his explains what he wants explained. That gives them the false ground to assume it's better when in reality it's not competing. Now the bits of his world view that actually conflict with God belief are not science, they are either philosophy or ideology. Those are not the same things but I'm sure his view, like mine, contains both. So he sets up this truth regime that assumes there's only one form of knowledge and of cousre that's the one he feels he has going for his view because it explains what he wants to explain, the other stuff is not there.
....He pulls the Drapper hypothesis idea in arguing against my statement hat a prior at 50-50 would yield a high probability of God. I documented those how have done the work to show it's possible. He's already undermined his own argument. He has this whole group of philosophers who argue for God with the BT. Of cousre he would argue he can beat them but all that proves is that it's not as cut and dried as scinece, it's not precise it's not a done deal, it depends upon your assumptions. Notice he sort of guides us away from the admission that where you set the prior is going to deterine things and that setting the prior is going to involve ideology and opinion and bias. To avoid that admission he sticks ins this propagana about Draper and how great certain kinds of hypothesis are. Yet he has to make the kinds of assumption I'm indicting to get tot tha point where he can assert the objectivity.
....Here's another form of the switch, what's being swtiched is differing domains and differing aims of the explainations:

This is refuted by Draper’s objective criteria explained above. Since metaphysical naturalism and (metaphysical) supernaturalism are equally modest and equally coherent, it follows that they have equal intrinsic epistemic probabilities. Since there are other options besides naturalism and supernaturalism, however, it follows that the intrinsic probabilities of both naturalism and supernaturalism are less than 1/2.

 The fact that they they are both modest and coherent so they must be the same, the fact that explain different aspects of reality is totally left out. They don't compete. Of if they do compete it's in areas more directly empirical than belief in God. The insertion of "other options" is also bogus because at this point we have been doing this switch to comparison of apples and oranges. now there's a possibly that other fruit is involved. This really can't be the way to go about it.  He pulls the rug out from underhimself:


Unlike naturalism and supernaturalism, however, naturalism and theism are not symmetrical claims. Theism entails supernaturalism but is not entailed by it; theism is one of many variants or more specific versions of supernaturalism. Thus, theism is less modest than supernaturalism. Furthermore, theism is not epistemically certain given supernaturalism. So metaphysical naturalism has a higher intrinsic epistemic probability than theism
 This is really problematic he's just juggling labels. first of all I'm not a theist. I'm a panenthiest. Secondly, in making his admission he sort of undoes what he did above. He has supposedly equal hypothesis even though explain different aspects of reality, now he brings the comparison into the range of unequal hypothesis. All red herring becuase none of it get's around the fact that they explain different things, they use different methods, they do do not share the same domains of magisteria, there's no reason to compare them to each other. One can be scientific and use materialist analysis of economic and society and biology and phsyics without being an atheist or refusing belief in God.
....Not to even mention the issue about the meaning of the term "supernatural." In the enlightenment "supernatural" because a pejorative to be little chruch dogma. That's even more the case today. It's a way for atheists to make a king's x on their views because they are sanctioned by science, naturalism, hard concrete the fortress of facts, and to cast aspersions on Christian beliefs as 'magic.' Chrsitains can be labeled as silly and unreal because they are "supernatural" which is like wave a red flag to a bull; read "stupid, pretend, made up, unprovable." The term was employed by  Pseudo-Dionysus in around 500AD it refereed to the power of God to raise human nature to the higher level of spiritual wisdom and moral perfection. It did not mean magic, it did not mean psychic powers or unseen realms. The upshot of this is that the materialist bifurcates reality so God can't work in the natural. Anything of God is automatically supernatural becuase for the atheist it is "imaginary." The believer understands that God is working in the ordinary world all the time. The prevalence of "naturalistic" evidence in connection with God sign (such as brain chemistry with religious experience) is not proof of a purely naturalistic origin becuase God works in the natural and through the natural. Yet that labeling of natural/supernatual is the atheist way of dismissing evidence that's not convenient and cant be denied. That means when it comes to setting the prior the atheist never has to accept any prior set by a believer because it's automatically tainted just being about God. Being about God makes it "supernatural" that translates to "pretend, unreal. stupid."
....Never does he disprove he notion that where you set the prior is crucial to the outcome. Moreover, there  is no fair UN-baised way to set it. He does the bait and switch with reductionism to get around that by trying make them be about the same thing then ruling that which doesn't' explain what he wants explained. That's not actually a disproof of my original argument. Philosopher Victor Reppert says:

How in blazes do you calculate probabilities? Probability theory tells you how you get from a prior probability to a posterior probability. What it does not tell you is what prior probabilities are correct. Hence I can begin with a probability of 1 for the Resurrection and end up with a probability of 1 for the resurrection. Ditto for a probability of zero. So telling me to think exclusively in terms of probabilities tells me squat. Probability theory does tell you how, given enough evidence and a small enough split between probabilities, we can come to an agreement about whether something is true or not. But if there is a large split between antecedent probabilities, we can easily have rational people taking opposite beliefs to their graves.

I happen to think that there are no right or wrong antecedent probabilities. We start with the probabilities we have and go from there. My view is that a Bayesian-rational person can conclude that Jesus rose from the dead.[1]

 That essentially backs what I've said. If you don't have new information (the kind of new info one has available on God is not the kind that Lowder will accept as information) the end result is going to be biased. What does he say that actually disproves this? He says a bunch of theoretical stuff about making hypothesis that assume that you can treat religious belief and mystical experience the same way you would an hypothesis about mockingbird feeding habits in the south. Obviously that's not the case. Bringing different kinds of fruit into it (other ideas that are neither Christian or atheist) doesn't help any because they are going to have the same split. Bodi Darma never refereed to enlightenment as "hypothesis." Spiritual reality is experienced but it is not empirical in the scientific sense.
....At this point he deals why my statements about Unwin's book. I present several "topics" that he uses to illustrate the kinds of thing one would use to set the prior. Here we have an example of how Athiests slay me. Here's a guy who not read the book, admits he has not, he's trying to lecture guy who has read the book how he's wrong about what he read.

I say:
Stephen Unwin tries to produce a simple analysis that would prove the ultimate truth of God using Bayes. The calculations he gives for the priors are as such:

Uwin says:
Recognition of goodness (D = 10)
Existence of moral evil (D = 0.5)
Existence of natural evil (D = 0.1)
Intra-natural miracles (e.g., a friend recovers from an illness after you have prayed for him) (D = 2)
Extra-natural miracles (e.g., someone who is dead is brought back to life) (D = 1)
Religious experiences (D = 2)[10]

Lowder says:

Metacrock’s article reminds me that I need to add Unwin’s book to my list of books to read. Since I haven’t read it, I cannot yet comment on how he justifies these values. I do, however, have one nitpick. Metacrock refers to these values as “priors,” but that is obviously wrong for the simple reason that probability values, regardless of one’s philosophical interpretation of probability, are by definition always real numbers between 0 and 1 inclusive. It would appear that the D values quoted by Metacrock are what is known as “Bayes’ factors.”
I read the book and Lowder didn't. Unwin says, I quote from the book:

The inconvenience of employing any kind of systematic approach to analysis is that it demands the establishment of a system. Let's begin by establishing our system. We have Six evidentairy areas to consider:

(1) the recognition of Goodness
(2) The existence of moral evil
(3) the existence of natural evil
(4) intro-natrual miracles[2]


These are the issues Unwin uses to do the calculation to set the prior. These are the issues he uses for the whole busienss of the BT in relation to probability of God. Who is to say this is the exhaustive take on issues? The formulation I quoted with the numbers is the result of the palimpsest. It's the understanding of goes into that that is at issue. The assertion that final result is valid and it proves soemthing is not a done deal merely becuase it's blessed by mathematics. Unwin himself says his numbers are subjective.
 ....My argument, which Lowder does not deal with, is simply that these are not done deals. Many skeptics want to see these issues as done deals, there's evil in the world, therefore there can't be a God." if that's true than the whole busienss of making a probabilistic calculation is a farce. If it is true that if evil is in the world there can't be a God we don't need to quantify how much of life invovles evil to disbelieve God. If that's all there is to it why even bother with the math. evil exits, therefore, there is no God. These are not done deals they are issues for theologians. Is it true that "if Evil, then no God?" I think few theologians would have some things to say about that. The standard atheist dismissal would the Dawkinsian refusal to accept theological answers on the grounds that "since they are stupid I don't have to know what they are." Of cousre the miracles, trying to put a number on that would be sheer stupidity. That's going to be the most contentious arguemnt of all. In part one I talk about he circular reasoning of atheits in dealing with miracles. Lowders wants to believe they don't think that way but I've been doing this internet atheist war stuff for 15 years I've dealt with thousands of argumetns with atheists about miracle I know do think that way. "We have never accepted it before so we can't accept it know" rather, "we don't have to." They create a false history of no miracles by pretending all the claims of the past have been over turned, when in reality many of them were merely assumed to be untrue based upon dismissal of the past. One can probably trace that back and back an back to the first miracle claim.[3]
....They can't accept that there could be miracles if they did they wouldn't be atheist any more. To have miracles in the first place there must be some form of the divine. So that's like asking a creationist to make open ended findings that might prove evolution is real. It's like saying "would you please be willing to be booted out of your club to day and to admit that your world view is wrong?" A lot of people find that a tough one. Looking back over the issues he has never answered or even come to terms with my most basic argument: belief in God is about obtaining scientific proof of a new fact in the universe, the addition of God to that universe. It's a phenomenological of reality as a whole such one comes to understand noetically one's place in being. That is a journey one takes inside one's self, it is not lined with road markers from the world of scientifically empirical data but with road markers not accessible to those outside one's head. Naturally there touchstones in reality in the form of inter-subjectivity that make it possible for us to share aspects of the journey with the link minded. There's no way to share it with those who will not accept even it's existence. My argument has been that you can't base a mathematical probability for a reality of something that is only apparent though phenomenal apprehensions and world views that are only shared inter-subjectively. The atheist's game is one of reductionism. They want to reduce all knowledge to one thing, that which they control. They can never control the world of the phenomenological.
....If we had the empirical evidence of God we need to make calculations of probability we would not need calculations of probably. The fact that we don't have it cannot be construed as a low probability for God  any meaningful way because it's not meaningful that there is a low probability in those terms. For those who have experienced the reality of God it's a certainty need to probablizing. For those who refuse to find God God's way and who demand that methods under control are the only form of knowledge and the way to know the certainty of God's reality si a close book. It was at one time a closed to me as well, I was an atheist. It doesn't have to remain one but it' snot a book that will be opened by mathematics. One one guy who opens cosmically sealed books.






[1] Victor Reppert, "how shall we follow probabilities" Dangerous Idea Blog. oct 28, 2012
Url: http://dangerousidea.blogspot.com/2012/10/but-how-shall-we-follow-probabilities.html
[2] Stephen D. Unwin, The Probability of God a Simple Calculation That Proves the Ultimate Truth.New York, New York: Three Rivers Press,2003, 93.
[3] Unwin doesn't argue about miracles he merely assumes them as a matter of course for the sake of the calculation: "I will decline to speculate as to weather not authentic extra-natural miracles have occurred I have no way of knowing the answer..." (122) he then assumes based upon the reports for the sake of the calculus. I think that's fair but that much signifies the subjective nature of the issues, as one might also argue the evidence is better than skeptics are willing to admit. There are skeptics who might not accept this appraoch at all.



Monday, March 11, 2013

My Answer to Lowder on Bayes, part 1

Jeff Lowder wrote an article attacking my criticisms of the use of Bayes theorem to plot the probability of God. "Is It a Crock to Use Bayes’ Theorem to Measure Evidence about God? Part 1
March 3, 2013." The point of my original article is that you can't apply scientific probably to something as basic and metahpysal as God, the ground of being, the basis of all reality. The nature of Bayes theorum is such that it only works where new information is obtainable. The sort of new information one can have about God is not available to scientific scrutiny and thus there is no new information. That means the "prior" (the prior probability that must be obtained tom make the theorem work) wont be accurate and thus the whole project is dubious. Lowder never actually comes to terms with this argument. Most of the arguments he makes are red herrings or white rabbits.
.... Lowder summarizes what he thinks I'm saying:

I think the point that Metacrock is trying to make is that, if we define “miracle” as an event which requires a supernatural explanation, then by definition a miracle is logically incompatible with metaphysical naturalism, which denies the existence of all supernatural beings, including God. So naturalists can’t remain naturalists and believe a miracle has occurred. The options seem to be: (1) give up naturalism, (2) deny the event took place at all, or (3) agree the event did take place, but deny it has a supernatural explanation.
That's part of what I'm saying but it's not the really crucial points that I made about Bayes.  It's not so much about supernatural as it is about metaphysics and scientific domain. I am not drawing upon the conventional misunderstanding of supernatural that pits a realm of magic against a realm of what atheist want to believe is "fact." Rather, the whole issue of epistemology and metaphysics is prior to scientific learning. Science requires epistemology and metaphysics to ground its assumptions. God is related to those aspects of reality, and thus not part of the scientific domain. In trying to make God an object of probability they have to reduce the concept of God to just another fact in the universe; something God clearly transcends. Lowder merely denied the circular reasoning but of cousre he would.It's not just a matter of bad reasoning, it's an ideological thing. Those are ho in throngs of ideological zeal can't step back from their ideology and critically evaluate their own thinking. They can critique all that is not the ideology but they can't criticize that. That was my point in talking about the circular reasoning naturalists employ in sweeping aside miracle claims: it is that they can't accept anomalies that would threaten the paradigm. Lowder quotes me in cautioning the skeptical attitude.

    So should we all be watchful not to believe too quickly because its easy to get caught up in private reasons and ignore reason itself. Thus has more than one intelligent person been taken by both scams and honest mistakes. By the the same token it is equally a danger that one will remain too long in the skeptical place and become overly committed to doubting everything. From that position the circular reasoning of the naturalist seems so reasonable. There’s never been any proof of miracles before so we can’t accept that there is any now. But that’s only because we keep making the same assumption and thus have always dismissed the evidence that was valid.
he adds: "I agree with everything Metacrock writes here, with two important exceptions. First, that metaphysical naturalists do, in fact, reason in the way he describes." That's becuase he reasons that way himself. He can see it's a mistake when called out but he can't see that his rejection of evidence for miracles is that kind of mistake.

 Second, that metaphysical naturalists rely upon “circular reasoning” to avoid the conclusion that a miracle has occurred. It is true, of course, that some individual metaphysical naturalists have made fallacious inferences about miracles. The same could be said about some individual theists. But so what? Metacrock presents absolutely no evidence to justify the assumption that such individuals are representative of the position they represent. Metacrock is attacking a straw man of his own creation.
....Presenting evidence would just be an obligatory task becuase we've all seen what they say about miracles and it's clearly ciruclar it's just that they don't step back from their ideolgoical assumptions to see themselves doing it. Look at Hume. "This does not happen enough." Well, we have lots of claims, when they are advanced the usual rejoinder is "this hasn't happened before, it just does not happen, we don't see it, so we have to assume this is not it (a miracle)." If you want to see this principle actions go to CARM and start arguing for the Resurrection. I've been doing this for 15 years and I've seen thousnds of such arguments iti's aburd to say they say that they say it all the time. Next he's going to tell me that they don't say "He must not understand this idea" when you disagree with them. That's another of their obsessions, if you really understood you would agree with me. He makes that very charge in this article. But then he tries to sweep it away by saying theists do the same thing. That's neither here nor there, the point is atheist arguments about miracles are circular reasoning. That's improtant to realize becuase the whole issue of trying to show the probability of God is based upon trying to treat God like another fact in the universe rather than the basis of reality. That's the root issue of the whole matter. When one understands God as the basis of reality one is apt to see the issues pertaining to God as much larger than just charting the probability of some particular item, just as the realities of miracles is more than just finding an anomaly.
....Now here's where he stops following my train of thought and starts interjecting a bunch of red herrings and a bait and switch or two. I brought up ECREE because given what I said above about about the fruits of skepticism I thought "this would be a good place where they might argue ECREE as a counter to the shortcoming of skepticism." Instead of dealing with that issue he goes off on a tangent defending ECREE when in fact I didn't say it was wrong. Here's a crucial point he misses. My position on ECREE is that it is dependent upon Bayes. As Bayes goes so goes ECREE. That means if Bayes is not suited to probability for God then ECREE is not a valid standard for God arguments. Rather than understanding this he tries to tie ECREE to Bayes even more tightly which would mean it's taken out if I can take out Bayes. It also tells me he's not really following my issues. let's look at what he says:

With all due respect to Metacrock, this statement suggests he does not understand ECREE. As I have explained elsewhere, the best interpretation of ECREE is the Bayesian interpretation. According to BT, the final probability of a hypothesis is determined by two other values: the prior probability of a hypothesis and the hypothesis’s explanatory power. Now explanatory power is, by definition, a measure of how well a hypothesis “predicts” (i.e., make probable) the data.
 ....There it is, he disagrees with me, therefore, he doesn't understand. The problem is it's Jeff who doesn't undersatnd. He thinks I'm saying that ECREE is no good. He focuses here on two things that make Bayes work: (1) the "prior," and (2) and explanatory power. The problem there is my argument hinges on how both of those rule Bayes out as valid way to understand God. I think that's what he doesn't get. I show that you can't set the prior for God, no setting will work; all settings for prior probability of God have the same flaw as the overall project, no new info coming in. All the things we can know of god we know through either deductive reasoning or experience of the divine on the level of the numinous. That means scinece can't handle it. It's outside the domain of scinece. Any setting of  a prior for God will be fraught with ideological needs. Ne never deals with that issue. Rather he brings in red herrings. Moreover the same limitation would also go for explanatory power. God can't give the kind of explanation we expect from scientifically verifiable data. Now the explanatory power of apophatic theology is fine with me. The explanatory power of the Jesus prayer works for me it's not gonna work for an atheist. That means no Bayes on God, no ECREE in relation to God.
....I had said that using ECREE in the way they do would cause one to remain skeptical even when the evidence is good. In fact that's what happens when they think in the ideologically circular way that says "we never accepted this stuff before so we shouldn't accept it now." They create a false record, "there have never been any miracles," based upon circular assumptions. He says it would be ambiguous to talk about "good" miracle evidence. Then he explains two reasons why. But  this is one of many red herrings. regardless of the quality of miracle evidence, that must be discussed in another venue about evidence. My only point was that the assumptions they make about naturalism that enable them to explain away God with Bayes also drive them to assume that their basic ideological assumptions are explanatory. An ideological truth regime is not explanation  it's only a reduction of all phenomena to that which can be controlled and pressed into service for the ideology. Of course he winds up diverting our attention with guilt by association trying to link miracle belief to Mormonism. I'm not going to bother to refute the statements about good miracle evidence because that can only serve to take us off the path.
...At this point he returns to ECREE and he assumes my answer about the meaning of extraordinary (as in "extraordinary claims") are irrelevant. Nothing could be further from the truth. They are totally relevant. The point I was making was that atheists try to present "extraordinary" as though Belief in God is some wired thing, or as though the kind of extraordinary evidence we need is on a level of Moses and the red sea. The fact of it is the kind of claim that is extraordinary in the sense of a Bayes theorem would be extremely ordinary. A finding that one has cancer when one has never had it before is statistically extraordinary. At that rate any probabilistic God argument we can pull, or the 200 empirical studies on mystical experience, are extraordinary evidence. He gives us a white rabbit to chase in another direction.
Again, with all due respect to Metacrock, this statement shows that Metacrock doesn’t understand ECREE. We don’t determine whether a belief is extraordinary by measuring the percentage of people who hold that belief. Rather, ECREE is epistemic in nature; it has to do with what we would expect to be the case based upon our background knowledge.
He's actually made the argument for me. I never said anything about extraordinary being defined by a percentage of people that believe it. My point is you can't subject the reality of God to empirical proof in a scientific sense. To the extent that we can establish a co-determinate that can be so subjected, such as religious experience being measured by the M scale, we can measure aspects of belief without claiming to measure God. ECREE is not epistemic it's a betrayal of the epistemic. We can't put over "what we expect to be the case God wise" and translate that into standard mathematical terms for probability. how could we do that when God is beyond our understanding? No new info on God is going to come in becuase it can only come from sources that science cannot trust, such as 'the heart.' How can we attach number and data to that? Epistemic issues can't be resolved by scientific reductionism or inductive empiricism. They are more basic than that. They can only be resolved through either logic, experience, or remain open ended. What all of this comes to is we can do two things: (1) we can keep it on a philosophical level and not try to pretend we've solved it. Or, (2) we can find a co-determinate and make phenomenological observations about aspects of the issues around faith and use that to extrapolate assumptions on the more subjective issues, we should not try to pretend that we have some scinece magic that will resolve all belief and make God vanish in a puff of science.
....AT this point he brings up several observations I made about the history of ECREE and Bayes. I'm not going to bother to correct his disagreement except to point out that I documented by sources and I used some of the most recent historians to write on the issue. I am sure he knows more ins and outs of the history than I do, but none of the information he presents are really relivant to my basic argument about probability and God. He tries to claim that Bayes is not in doubt, rather than disproving the history I brought he ignores it completely. It has been in doubt time and time again, it is professors of mathematics who doubted it. I documented that with McGrayne and he has nothing to say about that.[1] that's probably the most authoritative history about the BT. None of the issues he brings up historically disprove the history I listed. He merely shows additional examples of people who have accepted the BT. That's ust begging the question, they made the same mistake he is. He took the history to mean that I think Bayes isn't useful for anything but to argue for atheism. I did actually read the McGrayne book. Obliviously her point is that BT keeps coming back because it's useful. My argument is not that it's not useful. I never said Bayes is no good we can't use for anything. That is a red herring. It's good but it can't be used to tell us about God becasue God is not amenable by such methods. God is the unified field its so basic you can't get a microscope and find it. It's too basic as the same time too big. Too fundamental to reality to be just another thing we can subject to empirical measures. Now uses those red herrings to take us down to the path to a point where can try to use Chrsitain apologists to argue against me.

To cite the most obvious counter-example, has Metacrock never heard of Richard Swinburne or read any of his numerous books which use BT to defend Christian theism? (See here, here, here, here, here, here, and here.) Or seen Tim and Lydia McGrew’s impressive use of BT to argue for the Resurrection in The Blackwell Companion to Natural Theology? (See here.)
Obviously I have hard of them, I have to confess I don't read much of the apologists running around now days. I respect Swinburne. I probalby have missed lot by not following him. Most of the thinkers I use are those I read in Doctoral work when I studied history of science as Ph.D. candidate in history of ideas. Now Jeff sites apologists who argue for the resurrection using the BT. Arguing for the Resurrection is a different matter. That's not arguing for the probably of God. There might be tangible things to latch onto there. The resurrection is a physical event in space/time and it's not on par with God as the basis of reality. So it is anther fact in the universe. Thus it could be subject to empirical means. Natual theology also one can make the same point about that. then he says:

Metacrock is simply “barking up the wrong tree” on this one. I cannot think of any way to salvage his point.
I can think of a way. One might try to undersatnd what I'm real saying and deal with the one cogent point upon which the original article based: that God is not given in sense data, thus he cannot be subjected to numbers. The Bayes theorem can be used for other things, some of those serve belief in God. That doesn't mean that God himself can be subjected to it.




[1] Sharon Berstch McGrayne, The Theory that would not Die: How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy. New Haven: Yale University Press, 2011, 3.