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Comments on Numbers 2009-04-22T16:05:20Z http://claessen.com/blog/?feed=atom&p=191 WordPress By: Paul Paul http://paulclaessen.com/blog/?p=191#comment-9593 2009-04-22T16:05:20Z 2009-04-22T16:05:20Z @Dawnell, well.. you’d better NEVER tell him, and be REAL nice to the man!

]]> By: Dawnell Dawnell http://paulclaessen.com/blog/?p=191#comment-9592 2009-04-22T16:02:20Z 2009-04-22T16:02:20Z I STILL laugh about those Chili’s gift cards…! HAHAHAHAA

]]> By: Paul Paul http://paulclaessen.com/blog/?p=191#comment-9587 2009-04-20T23:30:54Z 2009-04-20T23:30:54Z @Dawnell: you’re going to call my boss? Hmm.. let me give you his number… let’s see… here… oh wait, no, that’s YOUR boss’s numnber! Hmm.. Maybe I should call THAT number…
I mean, I need to talk to him anyway .. about those Chilis’ gift cards!

]]> By: Dawnell Dawnell http://paulclaessen.com/blog/?p=191#comment-9586 2009-04-20T23:21:05Z 2009-04-20T23:21:05Z I think you should be tasked to write a manual for software. I am gonna call your boss.

]]> By: Paul Paul http://paulclaessen.com/blog/?p=191#comment-9585 2009-04-13T16:59:23Z 2009-04-13T16:59:23Z @Injun, since I don’t expect anyone else to comment on this post, I will go ahead and

1. give the answer
2. give a hint as to where to look for an explanation

So, the counter-intuitive answer is indeed NOT "about 11%", but "about 30%".

As for a hint: "Benford’s law".

While I do understand the "logarithmic" argument given, I still have a hard time understanding why the example lists follow that rule.
What makes these lists of seemingly random numbers actually non random? To be sure, if you create a list of random numbers and you DON’T get that 11% distribution, then something’s REALLY wrong with your randomizing algorithm!
So what makes a list of stock prices logarithmic in nature? Or death rates? Or even more perplexing: a list of unrelated physical or mathematical constants?

ANYWAY, I think Injun should have some Internet presence himself, if ONLY to show off pictures of his new bike!

]]> By: Injun Injun http://paulclaessen.com/blog/?p=191#comment-9584 2009-04-13T16:41:00Z 2009-04-13T16:41:00Z the “intuitive” answer would be one-out-of-nine (numbers don’t typically start with zero), or about 11,11% of the time. Now, if I find some time between work-and-riding-my-new-bike, I’ll try to think why this is not the correct answer.

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