How LEDs Work (w/ LED Pioneer George Craford)
Curiosity Weekly
Warner Bros. Discovery
4.6 • 963 Ratings
🗓️ 19 May 2021
⏱️ 14 minutes
🧾️ Download transcript
Summary
Learn about the “birthday paradox.” Then, George Craford — one of the pioneers of LED lighting — talks LED innovation.
The Birthday Paradox by Cameron Duke
- Science Buddies. (2012, March 29). Probability and the Birthday Paradox. Scientific American. https://www.scientificamerican.com/article/bring-science-home-probability-birthday-paradox/
- TED-Ed. (2017). Check your intuition: The birthday problem - David Knuffke [YouTube Video]. In YouTube. https://www.youtube.com/watch?v=KtT_cgMzHx8
- Understanding the Birthday Paradox – BetterExplained. (2021). Betterexplained.com. https://betterexplained.com/articles/understanding-the-birthday-paradox/
Learn more about George Craford and the QEPrize:
- The Queen Elizabeth Prize for Engineering: https://qeprize.org/
- George Craford's bio: https://www.nae.edu/128635/Dr-M-George-Craford
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Transcript
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| 0:00.0 | Hi, you're about to get smarter in just a few minutes with Curiosity Daily from |
| 0:04.9 | Curiosity.com. I'm Cody Gough. And I'm Ashley Hamer. Today you learn about the |
| 0:09.4 | extreme weirdness of the birthday paradox. Then you'll learn about the hidden science of |
| 0:14.7 | LED lighting with help from one of the pioneers of LED's George Crawford. |
| 0:19.4 | Let's satisfy some curiosity. |
| 0:21.4 | I've got a puzzle for you. |
| 0:24.0 | If you gathered a group of random strangers into a room, what are the odds that any two share |
| 0:30.2 | a birthday? |
| 0:31.2 | Better yet, how many people would you need |
| 0:34.1 | for there to be a 50-50 chance |
| 0:36.6 | of there being at least one shared birthday in the room? |
| 0:40.1 | Well, I'll give you a hint. |
| 0:41.4 | It is not nearly as many as you think, and that's why this problem is called |
| 0:45.9 | the birthday paradox. So let's set this up. As with any thoughts experiment, |
| 0:52.0 | we first need to address our assumptions. |
| 0:54.7 | First, let's assume none of the people are twins and their birthdays are completely random. |
| 1:00.4 | So what's the answer? Well, the number of people you would need for there to be a 50% chance of a birthday match is 23. |
| 1:10.0 | That's right, I know there are 365 days in the year and this sounds impossible, but it's 23. |
| 1:16.8 | Please don't get mad. |
| 1:18.5 | Here's how you figure this out. |
| 1:20.5 | Let's say I'm person A and Ashley is person B. |
| 1:24.0 | The probability that Ashley and I share a birthday is a one in 365 or about a 0.003% chance. |
... |
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