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The Incredible odds of fulfilled bible prophecy

A girl friend of mine is on the train from Brugge to Antwerp as I type this. Pity there's nothing to look at through the train window.

Then again neither the starting point nor the destination exist since they are in a place that doesn't exist and I'm sure those places have been destroyed at some point in their history so they wouldn't exist either.


So DOC, what ridiculous "theory" are you going to come up with now to explain how the Tyre prophecy came true?
 
Well...if Jerusalem doesn't exist, unclean women and men with attached smegma catchers can't very well go there. Prophesy fulfilled!
 
We haven't anything from Geisler, Turek or Sir Ramsay for a while. Surely they had something to say about all this prophecy business.
Perhaps after his Louis Feldman "error" over in the 'Evidence for why we know the New Testament writers told the truth' thread he's actually checking his sources?
:D
 
Here is the link regarding the article by Dr. Hugh Ross for those interested.

http://www.reasons.org/articles/art...ecy-evidence-for-the-reliability-of-the-bible
DOC, that kind of article is embarrassing to those of us who know a little about probability, not to mention a smattering of biblical history. You are revealing a severe ignorance in both fields if you think there is the slightest validity to it.

Example: the author repeatedly refers to probability as something like 105, which has no meaning in mathematics. He most likely means 1:105, but since he gives not a single formula or computation, he might has well have made it up. I'd say the probability that he did is 1:100.

And we all know that many of the "fulfilled" prophecies were fulfilled in this manner. Imagine "John" writing about someone he heard about (because none of the Matthew, Mark, Luke & John books were written by the apostles of that name). Along comes a prophecy from Daniel, "The King shall enter the city on a white horse..." Since there is no record of that happening, no eyewitnesses, there is nothing to draw upon at all, but John, being the pious redactor he is, wants it to happen, so he writes thus:

"So Jesus entered the city on a white horse. This was done to fulfill the prophecy in Daniel."

Then 2000 years later, some sucker, the kind who was elevated by the patron saint of suckers, P.T. Barnum, puts the two parts of the bible together and says, "See! The prophecy was fulfilled; Part 2 proves Part 1, and God is great!" Never mind that the two don't even seem to refer to the same event or person -- you have to believe it to see it.

It's a little like sending an urban legend to a friend and appending the statement "Snopes says it's true!" Only a sucker believes without checking for himself. Unfortunately there are very few ways of checking biblical statements, and most that can be checked come up false, casting doubt on the rest.
 
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DOC, that kind of article is embarrassing to those of us who know a little about probability, not to mention a smattering of biblical history.
So you believe a PhD in Astrophysics doesn't understand probability.
 
DOC, that kind of article is embarrassing to those of us who know a little about probability, not to mention a smattering of biblical history.


So you believe a PhD in Astrophysics doesn't understand probability.


Setting aside your 2,153rd employment of the argumentum ad verecundiam fallacy, I'll just point out that while an astrophysicist might well have a reasonable understanding of probability theory, the usefulness of that understanding is more than cancelled out by the fact that a creationist apologist like Hugh Ross will ignore any knowledge in the course of his lying for Jebus.

Need evidence? Re-read my thread.
 
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So you believe a PhD in Astrophysics doesn't understand probability.

That particular PhD doesn't. Or perhaps you would like to expound on his maths and show us how he arrived at those probabilities. Looks like he just pulled them out of his nether regions.
 
That particular PhD doesn't. Or perhaps you would like to expound on his maths and show us how he arrived at those probabilities. Looks like he just pulled them out of his nether regions.


Excellent suggestion. Since the linked article simply asserts the probabilities without showing any working I think it behooves DOC to take us step-by-step through the calculations.
 
Excellent suggestion. Since the linked article simply asserts the probabilities without showing any working I think it behooves DOC to take us step-by-step through the calculations.

I wonder what the chances of that are?
 
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So you believe a PhD in Astrophysics doesn't understand probability.
yes.


ETA:
having reviewed countless manuscripts for science journals, I can state unequivocally that being holding a PhD in a hard science is no guarantee in understanding probability.
 
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For some reason the link in the first post in not working.

Here is the link regarding the article by Dr. Hugh Ross for those interested.

http://www.reasons.org/articles/art...ecy-evidence-for-the-reliability-of-the-bible

DOC, I admit I don't know the first thing about probability although with a little guidance I could probably figure out the math for it. However I do know that if Hugh Ross didn't give his formula for how he achieved those numbers than the whole thing is suspect.

Wouldn't you agree?
 
So you believe a PhD in Astrophysics doesn't understand probability.

Absolutely. And you've kindly provided the evidence that he doesn't understand probability in the article you linked to. Here's an example of his workings from the same page:

Since the Messiah's ministry could conceivably begin in any one of about 5000 years, there is, then, one chance in about 5000 that his ministry could begin in 26 A.D.
Since the Messiah is God in human form, the possibility of his being killed is considerably low, say less than one chance in 10.
Relative to the second destruction of Jerusalem, this execution has roughly an even chance of occurring before or after that event, that is, one chance in 2.
Hence, the probability of chance fulfillment for this prophecy is 1 in 5000 x 10 x 2, which is 1 in 100,000, or 1 in 105.

I especially like the first two figures "calculated" above.
 
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