‘leaky pipelines’ directory
See Also
- Gwern
-
Links
- “Is Target-Based Drug Discovery Efficient? Discovery and ‘Off-Target’ Mechanisms of All Drugs ”, Sadri 2023
- “What the Scientists Who Pioneered Weight-Loss Drugs Want You to Know ”, Reynolds 2023
- “Artificial Intelligence in Drug Discovery: What Is Realistic, What Are Illusions? Part 1: Ways to Make an Impact, and Why We Are Not There Yet: Quality Is More Important Than Speed and Cost in Drug Discovery ”, Bender & Cortés-Ciriano 2021
- “Counterproductive Altruism: The Other Heavy Tail ”, Kokotajlo & Oprea 2020
- “Scale-Free Networks Are Rare ”, Broido & Clauset 2019
- “Construction of Arbitrarily Strong Amplifiers of Natural Selection Using Evolutionary Graph Theory ”, Pavlogiannis et al 2018
- “Dissolving the Fermi Paradox ”, Sandberg et al 2018
- “When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis ”, Scannell & Bosley 2016
- “The Best And The Rest: Revisiting The Norm Of Normality Of Individual Performance ”, O’Boyle & Aguinis 2012
- “A New Car-Following Model Yielding Log-Normal Type Headways Distributions ”, Li et al 2010
- “Power-Law Distributions in Empirical Data ”, Clauset et al 2007
- “The Major Role of Clinicians in the Discovery of Off-Label Drug Therapies ”, DeMonaco et al 2006
- “John R. Laughnan: Over 40 Years of Contributions to Genetic Concepts: Genetics from A to Zea in Three Score and Ten § Pg3 ”, Coe et al 1999 (page 3)
- “On the Statistics of Individual Variations of Productivity in Research Laboratories ”, Shockley 1957
- “Ability and Income § Pg14 ”, Burt 1943 (page 14)
- “Spencer Greenberg on Stopping Valueless Papers from Getting into Top Journals § How Do We Predict High Levels of Success? ”, Greenberg & Wiblin 2025
- “CRAN: Package Randcorr ”
- “Effectiveness Is a Conjunction of Multipliers ”
- “Why Is There Only One Elon Musk? Why Is There so Much Low-Hanging Fruit? ”
- “Prescriptions, Paradoxes, and Perversities ”
- “The Alzheimer Photo ”
- “Is Pharma Research Worse Than Chance? ”
- “Prospecting for Gold § Heavy-Tailed Distributions ”
- “There Is Way Too Much Serendipity ”
- Sort By Magic
- Wikipedia
- Miscellaneous
- Bibliography
Gwern
“On Development Hell ”, Gwern 2020
“Embryo Selection For Intelligence ”, Gwern 2016
Links
“Is Target-Based Drug Discovery Efficient? Discovery and ‘Off-Target’ Mechanisms of All Drugs ”, Sadri 2023
Is Target-Based Drug Discovery Efficient? Discovery and ‘Off-Target’ Mechanisms of All Drugs
“What the Scientists Who Pioneered Weight-Loss Drugs Want You to Know ”, Reynolds 2023
What the Scientists Who Pioneered Weight-Loss Drugs Want You to Know
“Artificial Intelligence in Drug Discovery: What Is Realistic, What Are Illusions? Part 1: Ways to Make an Impact, and Why We Are Not There Yet: Quality Is More Important Than Speed and Cost in Drug Discovery ”, Bender & Cortés-Ciriano 2021
“Counterproductive Altruism: The Other Heavy Tail ”, Kokotajlo & Oprea 2020
“Scale-Free Networks Are Rare ”, Broido & Clauset 2019
“Construction of Arbitrarily Strong Amplifiers of Natural Selection Using Evolutionary Graph Theory ”, Pavlogiannis et al 2018
Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory
“Dissolving the Fermi Paradox ”, Sandberg et al 2018
“When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis ”, Scannell & Bosley 2016
When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis
“The Best And The Rest: Revisiting The Norm Of Normality Of Individual Performance ”, O’Boyle & Aguinis 2012
The Best And The Rest: Revisiting The Norm Of Normality Of Individual Performance
“A New Car-Following Model Yielding Log-Normal Type Headways Distributions ”, Li et al 2010
A new car-following model yielding log-normal type headways distributions
“Power-Law Distributions in Empirical Data ”, Clauset et al 2007
“The Major Role of Clinicians in the Discovery of Off-Label Drug Therapies ”, DeMonaco et al 2006
The Major Role of Clinicians in the Discovery of Off-Label Drug Therapies
“John R. Laughnan: Over 40 Years of Contributions to Genetic Concepts: Genetics from A to Zea in Three Score and Ten § Pg3 ”, Coe et al 1999 (page 3)
“On the Statistics of Individual Variations of Productivity in Research Laboratories ”, Shockley 1957
On the Statistics of Individual Variations of Productivity in Research Laboratories
“Ability and Income § Pg14 ”, Burt 1943 (page 14)
“Spencer Greenberg on Stopping Valueless Papers from Getting into Top Journals § How Do We Predict High Levels of Success? ”, Greenberg & Wiblin 2025
“CRAN: Package Randcorr ”
“Effectiveness Is a Conjunction of Multipliers ”
Effectiveness is a Conjunction of Multipliers
“Why Is There Only One Elon Musk? Why Is There so Much Low-Hanging Fruit? ”
Why is there only one Elon Musk? Why is there so much low-hanging fruit?
“Prescriptions, Paradoxes, and Perversities ”
“The Alzheimer Photo ”
“Is Pharma Research Worse Than Chance? ”
Is Pharma Research Worse Than Chance?
“Prospecting for Gold § Heavy-Tailed Distributions ”
“There Is Way Too Much Serendipity ”
There is way too much serendipity
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
Wikipedia
Miscellaneous
/doc/iq/ high/ 1996-jensen.pdf#page=6 : /doc/iq/ ses/ 1980-jensen-biasinmentaltesting.pdf#page=107 : https://adamwierman.com/ wp-content/ uploads/ 2021/ 05/ book-05-11.pdf#page=142 : https://galton.org/ essays/ 1870-1879/ galton-1879-geometric-mean.pdf : https://www.nytimes.com/ 2023/ 02/ 05/ opinion/ economy-construction-productivity-mystery.html
Bibliography
2023-sadri.pdf: “Is Target-Based Drug Discovery Efficient? Discovery and ‘Off-Target’ Mechanisms of All Drugs ”,https://: “What the Scientists Who Pioneered Weight-Loss Drugs Want You to Know ”,www.wired.com/ story/ obesity-drugs-researcher-interview-ozempic-wegovy/ https://: “Artificial Intelligence in Drug Discovery: What Is Realistic, What Are Illusions? Part 1: Ways to Make an Impact, and Why We Are Not There Yet: Quality Is More Important Than Speed and Cost in Drug Discovery ”,www.sciencedirect.com/ science/ article/ pii/ S1359644620305274#sec0010 https://: “Construction of Arbitrarily Strong Amplifiers of Natural Selection Using Evolutionary Graph Theory ”,www.nature.com/ articles/ s42003-018-0078-7