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← Failing to adjust raw data for known measurement biases produces inaccurate results.
17 connected korrents · 15 moments from 15 Jul 2021 to 4 Nov 2026.
Everything filed under AI and science
AI and science
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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 3 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 6 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: All measurements on open model adoption are incredibly imprecise. — tap to centre the map on it
All measurements on open model adoption are incredibly imprecise.
Last stated yesterday
4 Nov 2026
NL
Nathan Lambert — holds since 2026-11-04 — 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 3 months ago
27 Jul 2026
AD
Andrew Dessler — holds since 2026-07-27 — tap for who they are
Same subject: Success is probably measured wrongly when it is judged by the amount of output or the quality of that output. — tap to centre the map on it
Success is probably measured wrongly when it is judged by the amount of output or the quality of that output.
Last stated 4 months ago
21 Jul 2026
PS
Pablo Stanley — holds since 2026-07-21 — tap for who they are
Same subject: Many efforts fail because they do not focus on the right measure or do not invest enough in measuring accurately — tap to centre the map on it
Many efforts fail because they do not focus on the right measure or do not invest enough in measuring accurately
BG
Bill Gates — holds since c. 2013 — 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 7 months ago
28 Mar 2026
RB
Ryan Burge — holds since 2026-03-28 — tap for who they are
Same subject: Even when published scientific results are wrong, they usually remain useful. — tap to centre the map on it
Even when published scientific results are wrong, they usually remain useful.
Last stated a year ago
3 Jun 2025
LP
Lior Pachter — holds since 2025-06-03 — tap for who they are
Same subject: A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Last stated 2 years ago
13 May 2024
DL
Derek Lowe — holds since 2024-05-13 — tap for who they are
Same subject: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. — tap to centre the map on it
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Last stated 2 years ago
17 Sept 2024
AT
Alex Telford — holds since 2024-09-17 — tap for who they are
Same subject: A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. — tap to centre the map on it
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. — tap to centre the map on it
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. — tap to centre the map on it
AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points.
Last stated 11 months ago
23 Nov 2025
EH
Elliot Hershberg — holds since 2025-11-23 — tap for who they are
Same subject: AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. — tap to centre the map on it
AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work.
Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. — tap to centre the map on it
AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder.
Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape. — tap to centre the map on it
AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape.
Last stated 8 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: AI has solved in an afternoon of compute maths problems that stumped the best human minds for decades. — tap to centre the map on it
AI has solved in an afternoon of compute maths problems that stumped the best human minds for decades.
Last stated 4 weeks ago
7 Oct 2026
AA
Azeem Azhar — holds since 2026-10-07 — tap for who they are
same subject or similar wording a cloud: claims about one subject, named for it bar: when it was last stated, on a scale from 2015 to today — full is today a face: someone who holds the claim — tap it for who they are
At the centre
Failing to adjust raw data for known measurement biases produces inaccurate results.
Last stated 27 Jul 2026 · 3 months ago
Holds Andrew Dessler
Read this korrent →
Similar wording
Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong.
Last stated 8 May 2026 · 6 months ago
Holds David Reich
Similar wording
When the data and the anecdotes disagree, the anecdotes are usually right and the metric is usually measuring the wrong thing.
Last stated 14 Dec 2023 · 3 years ago
Holds Jeff Bezos
Similar wording
All measurements on open model adoption are incredibly imprecise.
Last stated 4 Nov 2026 · yesterday
Holds Nathan Lambert
Similar wording
Climate skeptics' opposition to data adjustments is driven by which results those adjustments produce, not by scientific principle.
Last stated 27 Jul 2026 · 3 months ago
Holds Andrew Dessler
Similar wording
Success is probably measured wrongly when it is judged by the amount of output or the quality of that output.
Last stated 21 Jul 2026 · 4 months ago
Holds Pablo Stanley
Similar wording
Many efforts fail because they do not focus on the right measure or do not invest enough in measuring accurately
Last stated c. 2013
Holds Bill Gates
Similar wording
A statistically significant change is not the same as an important one, and survey data cannot tell you which it is.
Last stated 28 Mar 2026 · 7 months ago
Holds Ryan Burge
Similar wording
Even when published scientific results are wrong, they usually remain useful.
Last stated 3 Jun 2025 · a year ago
Holds Lior Pachter
Same subject: AI and science
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Last stated 13 May 2024 · 2 years ago
Holds Derek Lowe
Same subject: AI and science
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Last stated 17 Sept 2024 · 2 years ago
Holds Alex Telford
Same subject: AI and science
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Last stated 15 Jul 2021 · 5 years ago
Holds Demis Hassabis
Same subject: protein structure prediction
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
Last stated 15 Jul 2021 · 5 years ago
Holds Demis Hassabis
Same subject: protein structure prediction
AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points.
Last stated 23 Nov 2025 · 11 months ago
Holds Elliot Hershberg
Same subject: protein structure prediction
AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work.
Last stated 19 Sept 2024 · 2 years ago
Holds Derek Lowe
Same subject: mathematics
AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder.
Last stated 14 Jun 2025 · a year ago
Holds Terence Tao
Same subject: mathematics
AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape.
Last stated 20 Mar 2026 · 8 months ago
Holds Terence Tao
Same subject: mathematics
AI has solved in an afternoon of compute maths problems that stumped the best human minds for decades.
Last stated 7 Oct 2026 · 4 weeks ago
Holds Azeem Azhar