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Jason Bell – Author, Advisor and Practitioner in Machine Learning and Artificial Intelligence

Over 475 machine learning citations and 50+ patent citations on machine learning.

Calculating Elizabeth Hurley’s shoe size with Pythagoras Theorem

Mad as it sounds this thread came up in conversation on twitter a few months ago. My friend, Tim, while waiting in an airport queue reported to all that Ms Hurley, in front, was wearing nine inch high heels.

A tall order (so to speak) but that was setting all manner of alarm bells off in my head. The poor lass would either topple over or have feet big enough to accommodate such footwear.  Anyone dafter could possibly investigate such matters.

So we might as well start here…. a few things to consider:

  • We have a height – nine inches
  • We can moderately assume with 85% confidence the measurement between the base of the heel and the mid point of the sole. For this exercise let’s say 5 inches.
  • With two pieces of data we can easily establish the third.

Pythagoras Theorem let’s us find out nicely.  Ms Hurley’s heels can be shown as thus in the image below.

We have the values for a and b measurements so we can safely calculate the value of c.

So c = the square root of 52 add 92

So c would 10.29 inches or 26.15 cm – I’m going to add 5% for the curve in the shoe giving us 27.45cm. According to the shoe size chart on Wikipedia 27.5cm is an adult size 8.5 shoe so we can assume our approximate measurement is about right or Ms Hurley is scrunching her toes up a bit.

The alternative, which isn’t half as much fun as giving a really awesome maths lesson, is to just look up Ms Hurley’s shoe size on Google, reportedly a US 9.5 or UK 8.5…..

Perhaps Timmy was right all along 🙂

4 responses to “Calculating Elizabeth Hurley’s shoe size with Pythagoras Theorem”

  1. I am willing to offer a personal foot assessment to prove or disprove your Greek calculations.Sent from AthensPeter the celebrity foot mathematician

  2. p.s. I seem to have become Peter Cool overnight instead of Peter Cook – less metaxa nurse!

  3. […] (done in R), the Raspberry Pi Twitter Sentiment Server (in R and Python).  And yes I’ve done shoes sizes before as well….. but this is different. These were based on searches not streams, it was […]

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