B Interesting Use Of Pigeonhole Principle

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The discussion centers around an article from Scientific American that explores the pigeonhole principle using the example of hair count on human heads, suggesting that 8,000 people globally share the same number of hairs. Participants confirm that the article is accessible without a paywall and acknowledge the example as a common teaching tool. The conversation shifts to personal experiences with the pigeonhole principle, including its application in boundary value problems and practical lessons learned in a college setting. One participant recalls a memorable exercise involving mud swallows and their nests that illustrated the principle in a real-world context. Overall, the thread highlights the educational value of the pigeonhole principle through various examples and discussions.
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It opens for me, it must be free. The example is fairly well known. I've seen it more than once since I was a child.
 
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The SA article opened fine for me. I do not recall human head hairiness as a sage example of teaching the pigeonhole principle.

I do recall a teacher using using this premise to discuss boundary value problems and limits, as in how does one define the hairiness counting space, do facial hairs count, neck hairs, etc. Lively discussion ensued before the class delved into Dirichlet problem, Green's function and general boundary conditions. Perhaps I simply do not remember a pigeonhole reference.

Most striking for me was learning the pigeonhole principle at my first college adjacent to the Old Mission in Santa Barbara, CA. Mud swallows had colonized the eaves, building small spherical nests with distinctive round openings. Our geometry/stats teacher had us delineate a nesting section then attempt to count the birds returning from insect hunts entering the nests.

While not a precise exercise, we learned a practical lesson.

ent%2Fuploads%2F2012%2F09%2FSan-Juan-swallow-nests.jpg


Picture of swallow nests from Mission San Juan Capistrano in California.
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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