# Tag Archives: Mathematics

## The Enlightenment Guide To Winning The Lottery

### Article #342 • By Brendan Mackie

*This article was written by our shiny new contributor Brendan Mackie.*

François-Marie Arouet knew how to get into trouble. After a very public scuffle with a nobleman nearly ended in a duel, the young playwright was exiled from Paris, the city where his plays were only just coming into fashion. He lived in dreary England for two whole years before slinking back to France, where he lived in the house of a pharmacist. There he experimented with various potions and poultices, but nothing would cure the vague sense of impotence and dread that dogged him.

Finally in 1729 the gates of Paris were opened to Arouet again, but he was still ill-at-ease. At a dinner party held by the chemist Charles du Fay, Arouet, better known by his pen-name Voltaire, found the cure he had been looking for. He met a brilliant mathematician called Charles Marie De La Condamine, who promised a panacea better than any Voltaire had found at his pharmacist.

It wasn’t medicine—it was money. Condamine had a plan that would make both him and Voltaire more money than he could ever scratch together by writing plays or poems, enough money to allow Voltaire to never have to worry about money again. He would be free to live how he wanted and write what he wanted. The plan was simple. Condamine planned to outsmart luck herself. He was going to arrange to win the lottery.

## Clever Hans the Math Horse

### Article #251 • By Alan Bellows

In the late 1800s, a German high school mathematics instructor named Wilhelm Von Osten was pushing a few scientific envelopes from his home in Berlin. Among other things, he was a student of *phrenology*, the now discredited theory that one’s intelligence, character, and personality traits can be derived based of the shape of one’s head. But it was his keen interest in animal intelligence that would ultimately win him fame.

Von Osten firmly believed that humanity had greatly underestimated the reasoning skills and intelligence of animals. To test his hypothesis, he took it upon himself to tutor a cat, a horse, and a bear in the ways of mathematics. The cat was indifferent to his efforts, and the bear seemed outright hostile, but the arab stallion named Hans showed some real promise. With further tutelage, Hans the horse learned to use his hoof to tap out numbers written on a blackboard. Much to Von Osten’s delight, jotting a “3” on the blackboard would prompt a tap-tap-tap from his pupil, a feat which Hans could repeat for any number under ten.

Encouraged by this success, Von Osten pressed his student further. The scientist drew out some basic arithmetic problems on his chalkboard, and attempted to train the horse in the symbols’ meanings. Hans had no problem keeping up with the curriculum, and soon he was providing the correct responses to a variety of math problems including basic square roots and fractions. Hans was proving to be a clever horse indeed.

## The Birthday Paradox

### Article #114 • By Alan Bellows

I have never had a very good relationship with Mathematics. I used to think it was me… I thought that perhaps I was just a bit put off by Math’s confident demeanor and superior attitude, and by its tendency to micromanage every tiny detail of my universe. But over time I have come to the realization that I’m not the source of the problem. Math, as it turns out, is out of its bloody mind.

Consider the following example: Assuming for a moment that birthdays are evenly distributed throughout the year, if you’re sitting in a room with forty people in it, what are the chances that two of those people have the same birthday? For simplicity’s sake, we’ll ignore leap years. A reasonable, intelligent person might point out that the odds don’t reach 100% until there are 366 people in the room (the number of days in a year + 1)… and forty is about 11% of 366… so such a person might conclude that the odds of two people in forty sharing a birthday are about 11%. In reality, due to Math’s convoluted reasoning, the odds are about 90%. This phenomenon is known as the *Birthday Paradox*.

## The Longest-Standing Math Problem

### Article #70 • By Daniel Lew

Ever had a puzzle that looked easy but tortured you incessantly until you found a solution? Would you work on it obsessively for seven years in isolation? Andrew Wiles did just that to prove Fermat’s Last Theorem.

Pierre de Fermat, a famous number theorist of the 17th century, rarely published his work – instead, he would often write comments in the margins of books. In one margin Fermat proposed that x^{n} + y^{n} = z^{n} has no non-zero integer solutions for x, y and z when n > 2. However, rather than providing a proof, he only offered this taunting sentence: “I have discovered a truly remarkable proof which this margin is too small to contain.”

The proof for this simple conjecture was not solved for over 350 years and through the centuries became one of math’s greatest puzzles.

## Always Watch Out for Number One

### Article #65 • By Alan Bellows

If you ever plan to cheat on your taxes, here’s something to consider (besides prison): Make sure that most of the numbers you fabricate start with the digit 1 (one). The second-most common leading digit should be 2, then 3, continuing on that pattern to leave 9 as the least common leading digit. This distribution is called *Benford’s Law*, and it’s a lot more straightforward than tax law… though *why* it exists is nearly as mysterious.

In a highly variable set of numbers such as those found in taxes, one would think that the leading digits would all be equally common. One would expect to find roughly the same amount of numbers starting with a 1 as, say, an 8. In a set of *totally* random numbers such as the lottery, that is exactly what one would discover; but when it comes to non-random real-life numbers, unless the data set is too constrained, a lot more numbers start with a one than any other digit. This can be useful in many ways.

## Let’s Make a Deal

### Article #55 • By Alan Bellows

There is a classic mathematical nuisance known as the *Monty Hall problem* which can be hard to wrap the mind around. It is named after the classic game show “Let’s Make a Deal,” where a contestant was allowed to choose one of three doors, knowing that a valuable prize waited behind one, and worthless prizes behind the others.

On the show, once the contestant made their choice, Monty Hall (the host) opened one of the *other* doors, revealing one of the worthless prizes. He would then open the contestant’s chosen door to reveal whether they picked correctly. The *Monty Hall problem* asks, what if the contestant were allowed to change her door choice after she saw the worthless prize? Would it be to her advantage to switch doors? In other words, if the contestant guesses that the new car lay behind door #1, and Monty opened door #2 to reveal a goat, is the new car more likely to be behind door #1, or door #3?

At this point, the imperfect wad of meat called the “brain” fires up it neurons, and usually informs its owner that revealing the contents of one of the other doors simply changed the contestant’s odds from one-in-three to fifty-fifty. But that isn’t the case. It has been mathematically proven that if the contestant were allowed to switch her door to #3 after seeing the goat behind #2, she’d be *twice as likely* to win.