meta:prediction   58

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Commentary: Predictions and the brain: how musical sounds become rewarding
did i just learn something big?

Prerecorded music has ABSOLUTELY NO
SURVIVAL reward. Zero. It does not help
with procreation (well, unless you're the
one making the music, then you get
endless sex) and it does not help with
individual survival.
As such, one must seriously self test
(n=1) prerecorded music actually holds
you back.
If you're reading this and you try no
music for 2 weeks and fail, hit me up. I
have some mind blowing stuff to show
you in how you can control others with
study  psychology  cog-psych  yvain  ssc  models  speculation  music  art  aesthetics  evolution  evopsych  accuracy  meta:prediction  neuro  neuro-nitgrit  neurons  error  roots  intricacy  hmm  wire-guided  machiavelli  dark-arts  predictive-processing  reinforcement 
june 2018 by nhaliday
Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors: The Federal Reserve’s Approach
First, if past performance is a reasonable guide to future accuracy, considerable uncertainty surrounds all macroeconomic projections, including those of FOMC participants. Second, different forecasters have similar accuracy. Third, estimates of uncertainty about future real activity and interest rates are now considerably greater than prior to the financial crisis; in contrast, estimates of inflation accuracy have changed little.
pdf  study  economics  macro  meta:prediction  tetlock  accuracy  org:gov  government  wonkish  moments  🎩  volo-avolo 
september 2017 by nhaliday
The Scholar's Stage: There Is No "Right Side" of History
Open celebrations of slavery like the sort Hammond offered would not become common until the 1840s. By the eve of the Civil War they were the only "politically correct" things a politician from the Deep South could say about slavery. I refer those interested in the story of how slavery's most radical defenders were able to manipulate and mold southern society and culture until political elites across the region championed slavery as a positive good worth dying for to Freehling's book. The point I would like to make here is a bit more basic. The American south of 1860 was more racist, more despotic, and less tolerant of traditional Americans liberties like freedom of speech than was the American south 1790. If you had pulled Jefferson's grandchildren to the side in 1855 and asked them what the "right side" of history was, they would probably reply that it was the abolitionists, not the slavers, who were on the wrong side of it.

There is an obvious lesson here for all politicians and activists inclined to talk about "the right side of history" today. History has no direction discernible to mankind. Surveying current cultural trends is a foolish way to predict the future and the judgments of posterity are far too fickle to guide our actions in the present.
unaffiliated  broad-econ  wonkish  history  early-modern  pre-ww2  revolution  war  usa  ideology  politics  morality  culture-war  info-dynamics  zeitgeist  regularizer  aphorism  rhetoric  stories  parable  meta:prediction  track-record  reflection  metabuch  reason 
august 2017 by nhaliday
When Rats Leave a Sinking Ship | Our Fascinating Earth
During the first century A.D. Pliny the Elder wrote in his Natural History that "when a building is about to fall down, all the rats desert it." A more modern proverb suggests that rats always leave a sinking ship.
aphorism  quotes  big-peeps  literature  history  iron-age  mediterranean  the-classics  nature  analogy  oceans  meta:prediction  canon 
may 2017 by nhaliday
[1502.05274] How predictable is technological progress?
Recently it has become clear that many technologies follow a generalized version of Moore's law, i.e. costs tend to drop exponentially, at different rates that depend on the technology. Here we formulate Moore's law as a correlated geometric random walk with drift, and apply it to historical data on 53 technologies. We derive a closed form expression approximating the distribution of forecast errors as a function of time. Based on hind-casting experiments we show that this works well, making it possible to collapse the forecast errors for many different technologies at different time horizons onto the same universal distribution. This is valuable because it allows us to make forecasts for any given technology with a clear understanding of the quality of the forecasts. As a practical demonstration we make distributional forecasts at different time horizons for solar photovoltaic modules, and show how our method can be used to estimate the probability that a given technology will outperform another technology at a given point in the future.

- p_t = unit price of tech
- log(p_t) = y_0 - μt + ∑_{i <= t} n_i
- n_t iid noise process
preprint  study  economics  growth-econ  innovation  discovery  technology  frontier  tetlock  meta:prediction  models  time  definite-planning  stylized-facts  regression  econometrics  magnitude  energy-resources  phys-energy  money  cost-benefit  stats  data-science  🔬  ideas  speedometer  multiplicative  methodology  stochastic-processes  time-series  stock-flow  iteration-recursion  org:mat 
april 2017 by nhaliday
Why The Best Supreme Court Predictor In The World Is Some Random Guy In Queens | FiveThirtyEight

Jacob Berlove, 30, of Queens, is the best human Supreme Court predictor in the world. Actually, forget the qualifier. He’s the best Supreme Court predictor in the world. He won FantasySCOTUS three years running. He correctly predicts cases more than 80 percent of the time. He plays under the name “Melech” — “king” in Hebrew.

Berlove has no formal legal training. Nor does he use statistical analyses to aid his predictions. He got interested in the Supreme Court in elementary school, reading his local paper, the Cincinnati Enquirer. In high school, he stumbled upon a constitutional law textbook.

“I read through huge chunks of it and I had a great time,” he told me. “I learned a lot over that weekend.”

Berlove has a prodigious memory for justices’ past decisions and opinions, and relies heavily on their colloquies in oral arguments. When we spoke, he had strong feelings about certain justices’ oratorical styles and how they affected his predictions.

Some justices are easy to predict. “I really appreciate Justice Scalia’s candor,” he said. “In oral arguments, 90 percent of the time he makes it very clear what he is thinking.”

Some are not. “To some extent, Justice Thomas might be the hardest, because he never speaks in oral arguments, ever.”1 That fact is mitigated, though, by Thomas’s rather predictable ideology. Justices Kennedy and Breyer can be tricky, too. Kennedy doesn’t tip his hand too much in oral arguments. And Breyer, Berlove says, plays coy.

“He expresses this deep-seated, what I would argue is a phony humility at oral arguments. ‘No, I really don’t know. This is a difficult question. I have to think about it. It’s very close.’ And then all of sudden he writes the opinion and he makes it seem like it was never a question in the first place. I find that to be very annoying.”

I told Ruger about Berlove. He said it made a certain amount of sense that the best Supreme Court predictor in the world should be some random guy in Queens.

“It’s possible that too much thinking or knowledge about the law could hurt you. If you make your career writing law review articles, like we do, you come up with your own normative baggage and your own preconceptions,” Ruger said. “We can’t be as dispassionate as this guy.”
news  org:data  prediction-markets  meta:prediction  institutions  law  government  trivia  cool  info-foraging  alt-inst  info-dynamics  stories  tools  multi  tetlock  paying-rent  realness  🎩  axioms 
april 2017 by nhaliday
Animal spirits (Keynes) - Wikipedia
Animal spirits is the term John Maynard Keynes used in his 1936 book The General Theory of Employment, Interest and Money to describe the instincts, proclivities and emotions that ostensibly influence and guide human behavior, and which can be measured in terms of, for example, consumer confidence. It has since been argued that trust is also included in or produced by "animal spirits".
economics  macro  meta:prediction  tetlock  psychology  social-psych  instinct  heuristic  bounded-cognition  error  info-dynamics  wiki  reference  jargon  aphorism  big-peeps 
april 2017 by nhaliday

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