mpuck2 @mpuck2

Joined November 2010

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Elon Musk @elonmusk

a month ago

This is the future we shall bring into being

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mpuck2 @mpuck2

3 months ago

@NostromoCore @JDVance 🤣🤣👏🏼👏🏼

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mpuck2 @mpuck2

4 months ago

@CollinRugg Watch the feet, dude purposely drags his right foot.

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Did a single person notice any improvements in their daily life thanks to this massive injection of charitable giving? No. Because it all, 100%, vanished into the bottomless coffers of the most corrupt and useless NGOs on the planet.

Pubity @pubity

4 months ago

Jeff Bezos' ex-wife MacKenzie Scott has given over $26,300,000,000 to charity, making her one of the biggest individual donors in history. She wants to spend the majority of her Bezos fortune on helping others and making the world a better place.

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mpuck2 @mpuck2

4 months ago

@bucees

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mpuck2 @mpuck2

4 months ago

@Uber hey Uber, I need a pet ride to the airport and I have a bunch of bags. What should I book?

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mpuck2 @mpuck2

4 months ago

Hey @YouTube is there a way to turn off shorts?

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mpuck2 @mpuck2

5 months ago

@elonmusk 👏🏼👏🏼👏🏼👏🏼 let’s go!

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mpuck2 @mpuck2

5 months ago

@RupertLowe10 👏🏼👏🏼👏🏼👏🏼

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mpuck2 @mpuck2

6 months ago

@DavidBCollum Good, tell her country to help out in the Middle East!

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mpuck2 @mpuck2

8 months ago

@84SimpleMan @McDonalds 🤖

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mpuck2 @mpuck2

8 months ago

@michaeljknowles I did good. I did good.

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mpuck2 @mpuck2

8 months ago

#aliens #Arizona

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mpuck2 @mpuck2

8 months ago

There are aliens entering Arizona! 👽👽👽 @elonmusk @joerogan

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mpuck2 @mpuck2

8 months ago

@grok can you please tell me what this is? It feels like aliens.

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Math Files @Math_files

8 months ago

Bayes’ theorem is probably the single most important thing any rational person can learn. So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works. Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it? Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them. For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information. Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible. Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.