BC SCIENCE
Saved by @Jacobtldr

Hugh Everett's birthday! Pioneer of the Many-Worlds Interpretation of quantum mechanics. Let us celebrate by thinking about ontological extravagance. I will do so by way of analogy, because I have found that everyone loves analogies and nobody ever willfully misconstrues them.

 We look at the night sky and see photons arriving to us, emitted by distant stars. Let's contrast two different theories about how stars emit photons.
One theory says, we know how stars shine, and our equations predict that they emit photons roughly uniformly in all directions. Call this the "Many-Photons Interpretation" (MPI).
But! Others object. That is *so many photons*. Most of which we don't observe, and can't observe, since they're moving away at the speed of light. It's too ontologically extravagant to posit a huge number of unobservable things!
So they suggest a "Photon Collapse Interpretation." According to this theory, the photons emitted toward us actually exist. But photons that would be emitted in directions we will never observe simply collapse into utter non-existence.
The Photon Collapse Interpretation posits far fewer photons, and doesn't strain our credulity by suggesting that we believe in a huge number of unobservable entities. Clearly it is vastly preferable on the basis of Occam's Razor.
Wait, say the Many-Photons proponents. That's not simple. Who cares how many photons there are, or whether we can see them? What matters is the simplicity of the underlying concepts, and whether or not the predictions fit the data. Who cares if you can't observe every photon?
And this whole "collapse" thing is completely ad hoc. Not to mention clunky, unnecessary, and ill-defined. You aren't actually concerned with simplicity or scientific integrity, you're just reluctant to accept things you can't see for yourself.
Nonsense, insist the collapsers. Science is about what we observe. Positing unobservable entities is extravagant, wasteful, and undermines the very nature of science and the Enlightenment project. Who knows to what kind of hideous relativism it will lead?
https://t.co/G19NR7Hvwa
I'm on the Many-Photon side of things. Simplicity is judged by your concepts, not how many entities are in your theory. Happy 90th, HEIII!

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A robust phylogenomic framework for the calamoid palms https://t.co/JiCbSUlheH

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Get a cup of coffee.

In this thread, I'll help you understand the basics of Binomial Thinking.

The future is always uncertain. There are many different ways it can unfold -- some more likely than others. Binomial thinking helps us embrace this view.


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The S&P 500 index is at ~3768 today.

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Historically, we know that this index has returned ~10% per year.

If we simply extrapolate this, we get an estimate of ~9773 for the index 10 years from now:


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(Hint: speaker is on the

In recent years ML models have worked from research labs to production, which makes ML security important. Adversarial ML research studies how to mess with ML

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The world is littered with hacks and quick fixes.

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Nearly all of it is BS. Here are 12 science-backed "hacks" that actually work.

Read a Book.

An expert in their field has taken their vast knowledge and distilled it to what's most important. Writing forces you to make difficult decisions on what's important and what's not. Writing demands clarity. You're getting an expert's lifetime of work for $15.

Talk to people who know more.

The best way to "hack" knowledge? Have a conversation with those who are informed. They've done the hard part of figuring out of sorting through the mess of information AND making sense of it. Having a conversation brings clarity for application.

Show up, no matter what.

Day after day. Sit down to write. Get out to exercise. Whatever the task you're trying to master, just keep showing up.

If you show up enough, you'll get better.

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1. Galilean Relativity

We can never fully grasp, define, or understand a system we are part of.

“Distance provides perspective” and wisdom in life is often about perspective.

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The study of the large-scale behavior of systems exchanging work and heat with connected systems or their environment.

- The Transitive Law

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Describe how objects in the world move and react to forces.

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