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The segment tells the tale of Sir Francis Galton, who “scorned the masses” and wanted to prove the ignorance of the collective commoners. He wanted to prove this empirically however, and devised a simple experiment: he set up a contest to guess the weight of an ox.
800 people guessed (or, as Nova puts it, Galton had “800 data points”), but no individual landed the corect answer of 1198lbs. He returned home to mathematically point out exactly how wrong the 800 individuals in the crowd were, but was surprised.
When the data was plotted, the curve that appeared before Galton was the cumulative distribution function of the normal distribution. Yeah..never mind, Nova puts it in plain english for us:
“… while no individual guessed the actual weight, the average of all the guesses is exactly right!”
Basically while no individual was correct, together they were capable of getting the right answer, by finding the average (actually the median) of all the guesses. As Nova later claims “It’s just like Wikipedia!” (well, sort of…).
I had a different thought: it’s just like the stock market.
Specifically, it’s just like the efficient market hypothesis, a school of thought that is of the opinion that, in the long run, it’s impossible to beat the market. The theory is that the market is efficient and at all times, and all stock prices reflect all knowledge that could possibly affect a given stock (all relevant information that is, news can and still does shake things up, as by definition news is something unknown and unexpected). The market reacts so quickly to news however, that proponents of the efficient market hypothesis believe that it is almost impossible to exploit this new information for profit.
Maybe it’s just because I’m currently enjoying “A Random Walk Down Wall Street” by Burton Malkiel, one of the most notable champions of the efficient market hypothesis. Maybe I had normal distributions on the brain, but the “wisdom of the crowds” seems to describe the efficient market hypothesis to a tee.
Think of the ox example, but replace the question of guessing the ox’s weight: now try to guess the price of a stock tomorrow. In Galton’s experiement, the ox weighs 1198lbs, and just like in the stock market, we have clues as to what the right answer should be. For example, perhpas the ox is larger than an ox you know is 900lbs: this might lead you to guess that the ox weighs more than 900lbs. You may have a lot or a little experience with oxen, and your answer will thus be either closer or furthur away from the real answer. You may simply just guess at random in hopes of winning the prize.
Now think of the price of the stock tomorrow: if you guess correctly you get the prize (by buying lower today if the stock is “supposed” to go up tomorrow and selling tomorrow for a profit, assuming no fees). Here the goal is to guess the “correct” price, and just in our oxen example, there’s a prize for guessing correctly and clues as to what the “correct” price should be. Fundamental analysts and amateurs alike use news, history, and financial reports, as well as their own experience to attempt to guess as closely as possible to the “correct” price and win the prize: profit.
But this got me thinking: clearly not everyone always gets the “right” answer, the right price (by which I mean what price the stock actually sells for the next day, I do not mean to imply that there is a “natural” price each stock should sell for), else, everyone would be rolling in money right now. This is true for both individuals AND PROFESSIONALS. As stated in the Nova broadcast, no individual is expected to get the right answer: you are far better off taking an average of all the guesses than picking an individual’s guess at random.
What’s the best way to figure out this average? The efficient market hypothesis says “Let the market figure it out”; if we wish to invest in the average then, we should simply invest in an index fund that tracks the market.
Now please remember I am not qualified to talk about mutual funds on a professional level. My thoughts in this blog are opinions, not advice.
This is actually easier said than done, especially in Canada. In Canada we don’t have as many options in terms of good index funds, and even those that exist have ridiculously high MERs (basically management fees) compared to our neighbours down south (who have access to Vanguard funds >.<). Using Globefund.ca is one way to find and rate index funds (follow the Globefund for BTG’s tutorial on how to use it!). As always, do your own research first!
What do you think? Leave a comment and let us know!





























