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The Time Everyone “Corrected” the World’s Smartest Woman
In 1990, Marilyn vos Savant correctly answered a probability puzzle in her column for Parade Magazine. And then, the world called her an idiot.
I still remember the chaos caused by the Monty Hall problem in our high school math class. Here's my explanation for how it works:
- Your first choice could either be a car or a goat.
- If you picked the car, you will win the car by not changing your guess.
- If you picked a goat, the host will reveal the second goat. The last door left will be the car, so you are guaranteed to win if you change your guess.
- You have two possible strategies to win the car:
- Try to pick the car on your first guess, and don't change the guess.
- Try to pick a goat on your first guess, and change the guess after the host opens another door.
- The second strategy is better, since picking a goat is twice as easy as picking the car.
The best strategy is to try to pick a goat in round 1. Once the host has revealed the second goat, you are guaranteed the car by switching doors.
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AWS Lambda
You can trigger an AWS Lambda function to automatically create a thumbnail when an image is uploaded to Amazon S3, verify address updates in an Amazon DynamoDB table, or process click-stream data in an Amazon Kinesis stream, without having to manage any compute infrastructure.
Billing is metered in increments of 100 milliseconds, making it cost-effective and easy to scale automatically from a few requests per day to thousands per second.
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ゲームの空間認識と今後の進化
チームラボの猪子氏がTEDxFukuokaで紹介した、日本と西洋での空間認識の違いについての話がとてもおもしろかったので紹介。
マリオはなぜ世界でヒットしたのか? チームラボ・猪子氏が語る、日本的空間認識とクリエイティビティの関係性
プレゼンテーションの内容を省略すると、
西洋の空間認識だと、パースペクティブを意識する。 よって、絵の登場人物になりきると視点が変わって絵の全体を意識しなくなる。絵の全体の意識が変わる、と言う方が適切なのかもしれない。
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Relationship Test - Dataclysm
My team and I wrote an app that will apply findings from a recent research paper to your Facebook graph. The app won’t post to your wall but it will show you both the shape of your friend network and which of your friends are most mathematically important to your life.
Instead of looking at a metric like the number of friends you have in common, this algorithm takes it a step further. It looks at how well connected your mutual friends are with each other, and suggests that having more diverse mutual friends indicates a stronger, more important relationship.