Format Online paper / PDF "Bill Curtis presented an alternate dataset in 1981 that substantiated very large variability in programmer performance." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT Reliability Beats Brilliance Source title Substantiating programmer variability Source authors Bill Curtis Source year 1981 Confidence high Importance high
Format Online paper / PDF "On one Sackman programming task, the best-to-worst spread in coding time was about 25 to 1." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT Reliability Beats Brilliance Source title Exploratory experimental studies comparing online and offline programming performance Source authors H. Sackman; W. J. Erikson; E. E. Grant Source year 1968 Confidence high Importance high
Format Online paper / PDF "Sackman, Erikson, and Grant experimentally compared online and offline programming performance in 1968." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT Reliability Beats Brilliance Source title Exploratory experimental studies comparing online and offline programming performance Source authors H. Sackman; W. J. Erikson; E. E. Grant Source year 1968 Confidence high Importance high
Format Video / YouTube Embed "An inside look at X’s Community Notes | Keith Coleman & Jay Baxter" Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title An inside look at X’s Community Notes | Keith Coleman & Jay Baxter Source authors Lenny's Podcast Source year 2025 Confidence high Importance high
Format Online paper / PDF "The No Free Lunch theorems establish that improved optimization performance over one class of problems is offset by performance over another class under the theorem’s assumptions." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title No free lunch theorems for optimization Source authors David H. Wolpert; William G. Macready Source year 1997 Confidence high Importance high
Format Web Page "Uber’s surge pricing activated automatically during the December 2014 Sydney hostage crisis when ride demand exceeded driver supply." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title An Apology Source authors Katie Curran Source year 2014 Confidence high Importance high
Format Web Page "Uber’s rapid growth from about 60 cities to 200 cities in 2014 created deployment processes that no longer scaled effectively." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title Uber Engineering’s Micro Deploy: Deploying Daily with Confidence Source authors Mathias Schwarz Source year 2016 Confidence high Importance high
Format Web Page "Vitalik Buterin described Community Notes as surprisingly close to the ideal of credible neutrality." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title What do I think about Community Notes? Source authors Vitalik Buterin Source year 2023 Confidence high Importance mid
Format Web Page "During the early Israel-Hamas conflict, the Community Notes team estimated a median time of about five hours for notes to appear." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title The Making of Community Notes Source authors Jay Baxter; Keith Coleman; Lucas Neumann; Emily Thai Source year 2024 Confidence high Importance high
Format Web Page "Community Notes uses a bridging algorithm designed to surface notes found helpful by people who have tended to disagree in their previous ratings." View Source Location PART 1 - TONS OF PUNKS, ONE BIG JERK CHAPTER 2: NO MOAT IN BLOAT The Church of Scale Source title Note ranking algorithm Source authors X Community Notes Source year 2021 Confidence high Importance high
