A clever way to estimate enormous numbers - Michael Mitchell

1,018,628 views

2012-09-12 ・ TED-Ed


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A clever way to estimate enormous numbers - Michael Mitchell

1,018,628 views ・ 2012-09-12

TED-Ed


Please double-click on the English subtitles below to play the video.

00:15
Whether you like it or not, we use numbers every day.
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Some numbers, such as the speed of sound,
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are small and easy to work with.
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Other numbers, such as the speed of light,
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are much larger and cumbersome to work with.
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We can use scientific notation to express these large numbers
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in a much more manageable format.
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So we can write 299,792,458 meters per second
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as 3.0 times 10 to the eighth meters per second.
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Correct scientific notation
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requires that the first term range in value
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so that it is greater than one but less than 10,
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and the second term represents the power of 10 or order of magnitude
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by which we multiply the first term.
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We can use the power of 10 as a tool in making quick estimations
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when we do not need or care for the exact value of a number.
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For example, the diameter of an atom
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is approximately 10 to the power of negative 12 meters.
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The height of a tree is approximately 10 to the power of one meter.
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The diameter of the Earth is approximately 10 to the power of seven meters.
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The ability to use the power of 10 as an estimation tool
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can come in handy every now and again,
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like when you're trying to guess the number of M&M's in a jar,
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but is also an essential skill in math and science,
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especially when dealing with what are known as Fermi problems.
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Fermi problems are named after the physicist Enrico Fermi,
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who's famous for making rapid order-of-magnitude estimations,
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or rapid estimations, with seemingly little available data.
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Fermi worked on the Manhattan Project in developing the atomic bomb,
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and when it was tested at the Trinity site in 1945,
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Fermi dropped a few pieces of paper during the blast
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and used the distance they traveled backwards as they fell
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to estimate the strength of the explosion as 10 kilotons of TNT,
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which is on the same order of magnitude as the actual value of 20 kilotons.
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One example of the classic Fermi estimation problems
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is to determine how many piano tuners there are
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in the city of Chicago, Illinois.
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At first, there seem to be so many unknowns
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that the problem appears to be unsolvable.
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That is the perfect application for a power-of-10 estimation,
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as we don't need an exact answer -
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an estimation will work.
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We can start by determining how many people live in the city of Chicago.
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We know that it is a large city,
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but we may be unsure about exactly how many people live in the city.
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Are the one million people? Five million people?
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This is the point in the problem
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where many people become frustrated with the uncertainty,
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but we can easily get through this by using the power of 10.
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We can estimate the magnitude of the population of Chicago
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as 10 to the power of six.
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While this doesn't tell us exactly how many people live there,
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it serves an accurate estimation for the actual population
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of just under three million people.
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So if there are approximately 10 to the sixth people in Chicago,
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how many pianos are there?
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If we want to continue dealing with orders of magnitude,
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we can either say that one out of 10
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or one out of one hundred people own a piano.
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Given that our estimate of the population includes children and adults,
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we'll go with the latter estimate,
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which estimates that there are approximately 10 to the fourth,
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or 10,000 pianos, in Chicago.
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With this many pianos, how many piano tuners are there?
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We could begin the process of thinking about how often the pianos are tuned,
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how many pianos are tuned in one day,
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or how many days a piano tuner works,
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but that's not the point of rapid estimation.
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We instead think in orders of magnitude,
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and say that a piano tuner tunes roughly 10 to the second pianos in a given year,
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which is approximately a few hundred pianos.
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Given our previous estimate of 10 to the fourth pianos in Chicago,
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and the estimate that each piano tuner can tune 10 to the second pianos each year,
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we can say that there are approximately 10 to the second piano tuners in Chicago.
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Now, I know what you must be thinking:
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How can all of these estimates produce a reasonable answer?
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Well, it's rather simple.
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In any Fermi problem, it is assumed
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that the overestimates and underestimates balance each other out,
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and produce an estimation
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that is usually within one order of magnitude of the actual answer.
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In our case we can confirm this by looking in the phone book
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for the number of piano tuners listed in Chicago.
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What do we find? 81.
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Pretty incredible, given our order-of-magnitude estimation.
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But, hey - that's the power of 10.
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