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January Is Math and Wellness Month
There is a time to tackle ambitious intellectual projects and go on grand political crusades, and tour the podcast circuit marketing both.
That time is not January. January is for:
- sleeping (at the same time every night)
- running, or long walks
- reflecting on our obligations under the moral law
- composing careful memoirs on our failures before the moral law (in anticipation of being court-martialed in February for crimes of December)
- medium-term planning
- performing well at one's dayjob
- studying math in the evenings
- avoiding Twitter (starting now)
- not using psychiatric medications like quetiapine unless the expected consequences of doing so seem better
Blogging on Less Wrong 2020 (Lower Half)
And You Take Me the Way I Am
Mark Twain wrote that honesty means you don't have to remember anything. But it also means you don't have to worry about making mistakes.
If you said something terrible that made everyone decide that you're stupid and evil, there's no sense in futilely protesting that "that's not what you meant", or agonizing that you should have thought more carefully and said something else in order to avoid the outcome of everyone thinking that you're stupid and evil.
Strategy is deception. You said what you said in the situation you were in, and everyone else used the information in that signal as evidence for a Bayesian update about your intelligence and moral character. As they should. So what's the problem? You wouldn't want people to have false beliefs, would you!?
Coffee Is for Coders
No one cares if you're in pain;
They only want results.
Everywhere this law's the same,
In startups, schools, and cults.
A child can pull the heartstrings
Of assorted moms and voters,
But your dumb cries are all in vain,
And coffee is for coders.
No one cares how hard you tried
(Though I bet it wasn't much),
But work that can on be relied,
If not relied as such.
A kitten is forgiven
As are a broken gear or rotors,
But your dumb crimes are full of shame,
And coffee is for coders.
The Parable of the Scorpion and the Fox
In the days of auld lang syne on Earth-that-was, a scorpion was creepy-crawling along a riverbank, wondering how to get to the other side. It came across an animal that could swim: some versions of the tale say it was a fox, others report a quokka. I'm going to assume it was a fox.
So the scorpion asks the fox to take it on her back and swim across the river. What does the fox say? She says, "No." The scorpion says, "If this is because you're afraid I'll sting you with my near-instantly-fatal toxins, don't worry—if I did that, then we'd likely both drown. By backwards induction, you're safe." What does the fox say? After pondering for a few moments, she says, "Okay."
So the scorpion gets on the fox's back, and the fox begins to swim across the river. When the pair is halfway across the river, the scorpion stings the fox.
The fox howls in pain while continuing to paddle. "Why?!" she cries. "Why did you do that?! As you said before, now we're likely to both drown."
The scorpion says, "I can't help it. It's my nature."
As the fox continues to paddle, the scorpion continues. "Interestingly, there's a very famous parable about this exact scenario. There was even an episode of Star Trek: Voyager titled after it. As a fox who knows many things, you must have heard it before. Why did you believe me?"
"I can't help it," gasped the fox, who might after all have been a quokka, as the poison filled her veins and her vision began to blur and her paddling began to slow. "It's my nature."
Blogging on Less Wrong 2020 (Upper Half)
- "The Heckler's Veto Is Also Subject to the Unilateralist's Curse"
- "Zoom Technologies, Inc. vs. the Efficient Markets Hypothesis"
- "Comment on 'Endogenous Epistemic Factionalization'"
- "Philosophy in the Darkest Timeline: Basics of the Evolution of Meaning"
- "Optimized Propaganda with Bayesian Networks: Comment on 'Articulating Lay Theories Through Graphical Models'"
- "Algorithmic Intent: A Hansonian Generalized Anti-Zombie Principle" ("upper half")
Relationship Outcomes Are Not Particularly Sensitive to Small Variations in Verbal Ability
After a friendship-ending fight, you feel an impulse to push through the pain to do an exhaustive postmortem of everything you did wrong in that last, fatal argument—you could have phrased that more eloquently, could have anticipated that objection, could have not left so much "surface area" open to that class of rhetorical counterattack, could have been more empathetic on that one point, could have chosen a more-fitting epigraph, could have taken more time to compose your reply and squeeze in another pass's worth of optimizations—as if searching for some combination of variables that would have changed the outcome, some nearby possible world where the two of you are still together.
No solution exists. (Or is findable in polynomial time.) The causal forces that brought you to this juncture are multitudinous and complex. A small change in the initial conditions only corresponds to a small change in the outcome; you can't lift a two-ton weight with ten pounds of force.
Not all friendship problems are like this. Happy endings do exist—to someone else's story in someone else's not-particularly-nearby possible world. Not for you, not here, not now.
December 2019 Blogging on Less Wrong
- "Free Speech and Triskaidekaphobic Calculators"
- "Funk-tunul's Legacy; Or, The Legend of the Extortion War"
- "Firming Up Not-Lying Around Its Edge-Cases Is Less Broadly Useful Than One Might Initially Think"
- "Stupidity and Dishonesty Explain Each Other Away"
- "Speaking Truth to Power Is a Schelling Point"
- "Don't Double-Crux With Suicide Rock" ("December")
"Relevance Norms; Or, Gricean Implicature Queers the Decoupling/Contextualizing Binary"
"Algorithms of Deception!"
If I sound like a broken record about school or whatever ("or whatever"), it's only because the dominant ideological trends of Society are engaging in conceptual gerrymandering that artificially raises the message length of my existence, such that I need to yell constantly in order to maintain my measure in social reality.
"Heads I Win, Tails?—Never Heard of Her; Or, Selective Reporting and the Tragedy of the Green Rationalists"
(looking at baby/toddler photos a year apart) "How does he look so different and yet so the same at the same time?"
"Just in case that was non-rhetorical, the answer is that your brain evolved to be good at factorizing overall appearance into orthogonal 'personal appearance' and 'age appearance' dimensions that can be tracked separately, just as [x, y] = [1, 2] and [4, 2] are so different with respect to x, and yet so the same with respect to y, at the same time."
"Schelling Categories, and Simple Membership Tests"
"We really need another bookcase."
"I'm not thinking about that right now. But like, if you got another bookcase, I wouldn't object."
"Where would we put it?"
"I'm also not thinking about that right now, but I've already started speaking a sentence in response to your question, so I might as well finish it. Oh. I guess I just did."
"Being Wrong Doesn't Mean You're Stupid and Bad (Probably)"
"The sink is full and it's your turn to do the dishes! Ugh, why are you so inconsiderate of others?!"
"Not true! Note that the dishes pile up just as badly when you're away."
"So, it's not that I'm inconsiderate of others; I'm inconsiderate towards people in the future, independently of whether they happen to be me."
"The Univariate Fallacy"
Minimax Search and the Structure of Cognition!
(This is a blog post adaptation of a talk I gave at !!Con West 2019!)
It all started at my old dayjob, where some of my coworkers had an office chess game going. I wanted to participate and be part of the team, but I didn't want to invest the effort in actually learning how to play chess well. So, I did what any programmer would do and wrote a chess engine to do it for me.
(Actually, I felt like writing a chess engine was too much of a cliché, so I decided that my program was an AI for a game that happens to be exactly like chess, except that everything has different names.)
My program wasn't actually terribly good, but I learned a lot about how to think, for the same reason that building a submarine in your garage in a great way to learn how to swim.
Consider a two-player board game like chess—or tic-tac-toe, Reversi, or indeed, any two-player, zero-sum, perfect information game. Suppose we know how to calculate how "good" a particular board position is for a player—in chess, this is traditionally done by assigning a point value to each type of piece and totaling up the point values of remaining pieces for each player. Continue reading