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← Failing to adjust raw data for known measurement biases produces inaccurate results.
17 connected korrents · 16 moments on record from 9 Dec 2023 to 14 Sept 2026.
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LLMs Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Failing to adjust raw data for known measurement biases produces inaccurate results. Failing to adjust raw data for known measurement biases produces inaccurate results. Last stated 2 months ago
27 Jul 2026
AD
Andrew Dessler — holds since 2026-07-27 — tap for who they are
Same subject: Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong. — tap to centre the map on it Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong. Last stated 4 months ago
8 May 2026
DR
David Reich — holds since 2026-05-08 — tap for who they are
Same subject: When the data and the anecdotes disagree, the anecdotes are usually right and the metric is usually measuring the wrong thing. — tap to centre the map on it When the data and the anecdotes disagree, the anecdotes are usually right and the metric is usually measuring the wrong thing. Last stated 3 years ago
14 Dec 2023
JB
Jeff Bezos — holds since 2023-12-14 — tap for who they are
Same subject: Climate skeptics' opposition to data adjustments is driven by which results those adjustments produce, not by scientific principle. — tap to centre the map on it Climate skeptics' opposition to data adjustments is driven by which results those adjustments produce, not by scientific principle. Last stated 2 months ago
27 Jul 2026
AD
Andrew Dessler — holds since 2026-07-27 — tap for who they are
Same subject: A statistically significant change is not the same as an important one, and survey data cannot tell you which it is. — tap to centre the map on it A statistically significant change is not the same as an important one, and survey data cannot tell you which it is. Last stated 6 months ago
28 Mar 2026
RB
Ryan Burge — holds since 2026-03-28 — tap for who they are
Same subject: When a benchmark disagrees with what people actually adopt, what it is telling you is that the thing it measures does not matter. — tap to centre the map on it When a benchmark disagrees with what people actually adopt, what it is telling you is that the thing it measures does not matter. Last stated 3 weeks ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: Long-context evaluation benchmarks are likely contaminated by model training data, making them unreliable as a sole evaluation method — tap to centre the map on it Long-context evaluation benchmarks are likely contaminated by model training data, making them unreliable as a sole evaluation method Last stated a year ago
22 Jun 2025
EY
Eugene Yan — holds since 2025-06-22 — tap for who they are
Same subject: Numbers offer a false precision: which metrics you choose to look at, and whether a five percent rise is good, are both art rather than science. — tap to centre the map on it Numbers offer a false precision: which metrics you choose to look at, and whether a five percent rise is good, are both art rather than science. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: A statistical system that knows when it is wrong is a contradiction in terms. — tap to centre the map on it A statistical system that knows when it is wrong is a contradiction in terms. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: A "good business" now means one that can display quarter-on-quarter stock growth, not one that makes good products at a fair price. — tap to centre the map on it A "good business" now means one that can display quarter-on-quarter stock growth, not one that makes good products at a fair price. Last stated a year ago
21 May 2025
EZ
Ed Zitron — holds since 2025-05-21 — tap for who they are
Same subject: Almost all of the dot-com era's exuberance turned out to be warranted; we remember the failures and forget the value that era created. — tap to centre the map on it Almost all of the dot-com era's exuberance turned out to be warranted; we remember the failures and forget the value that era created. Last stated a year ago
18 Aug 2025
BT
Bret Taylor — holds since 2025-08-18 — tap for who they are
Same subject: Almost no mutual fund earns the fees it charges, so most investors are better off buying an index fund. — tap to centre the map on it Almost no mutual fund earns the fees it charges, so most investors are better off buying an index fund. Last stated 3 years ago
20 Feb 2024
BA
Bill Ackman — holds since 2024-02-20 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 10 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 6 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. — tap to centre the map on it After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. Last stated 6 months ago
23 Mar 2026
JH
Jensen Huang — holds since 2026-03-23 — tap for who they are
Same subject: A market economy rewards putting land under campsites and horse liveries rather than under food, and that is the wrong thing to reward. — tap to centre the map on it A market economy rewards putting land under campsites and horse liveries rather than under food, and that is the wrong thing to reward. Last stated 3 years ago
9 Dec 2023
CS
Chris Smaje — holds since 2023-12-09 — tap for who they are
Same subject: A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand. — tap to centre the map on it A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand. Last stated a year ago
2 Sept 2025
BE
Benedict Evans — holds since 2025-09-02 — tap for who they are
Same subject: AI will raise capitalists' incomes and the capital share of income, increasing inequality. — tap to centre the map on it AI will raise capitalists' incomes and the capital share of income, increasing inequality. Last stated a week ago
14 Sept 2026
BM
Branko Milanovic — holds since 2026-09-14 — tap for who they are
At the centre
Failing to adjust raw data for known measurement biases produces inaccurate results.
Holds Read this korrent →
Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong.
Holds
When the data and the anecdotes disagree, the anecdotes are usually right and the metric is usually measuring the wrong thing.
Holds
Climate skeptics' opposition to data adjustments is driven by which results those adjustments produce, not by scientific principle.
Holds
A statistically significant change is not the same as an important one, and survey data cannot tell you which it is.
Holds
When a benchmark disagrees with what people actually adopt, what it is telling you is that the thing it measures does not matter.
Holds
Long-context evaluation benchmarks are likely contaminated by model training data, making them unreliable as a sole evaluation method
Holds
Numbers offer a false precision: which metrics you choose to look at, and whether a five percent rise is good, are both art rather than science.
Holds
A statistical system that knows when it is wrong is a contradiction in terms.
Holds
A "good business" now means one that can display quarter-on-quarter stock growth, not one that makes good products at a fair price.
Holds
Almost all of the dot-com era's exuberance turned out to be warranted; we remember the failures and forget the value that era created.
Holds
Almost no mutual fund earns the fees it charges, so most investors are better off buying an index fund.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds
After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute.
Holds
A market economy rewards putting land under campsites and horse liveries rather than under food, and that is the wrong thing to reward.
Holds
A sophisticated economy cannot be centrally planned, because planning removes the price signal that carries information about demand.
Holds
AI will raise capitalists' incomes and the capital share of income, increasing inequality.
Holds