Want to dive into Scott Alexander's work and his thousands of blog posts? This fan website lets you sort and do semantic search through the whole codex. Enjoy!
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A replication of a 2023 neuroscience study on brain entrainment and learning found that the original effect likely doesn't exist, revealing how the study obscured key issues through statistical averaging and highlighting how AI tools are democratizing scientific scrutiny.
Scott demonstrates that US crime rates are at historic lows using multiple data sources, then debunks the theories that this is due to reporting bias or improved medical care, before briefly discussing possible explanations for the decline.
A data-driven analysis of the ACX/SSC comment section quality over time reveals historical peaks and valleys, with recent signs of improvement after previous declines in 2016 and 2021.
Scott presents evidence that COVID-19 did kill approximately 1.2 million Americans, addressing skeptics by analyzing excess death data and addressing common counterarguments.
Scott analyzes ACX survey data on Internet addiction, exploring correlations between usage patterns, life satisfaction, and parental restrictions, while acknowledging the difficulty of establishing causation in the findings.
The post argues against California's Proposition 36, claiming it will increase imprisonment without effectively reducing crime or drug use, and suggests alternative solutions.
Scott Alexander shares the results of the 2024 Astral Codex Ten survey, providing access to data and promising future analyses.
Scott Alexander responds to comments on polyamory, providing data and addressing concerns about relationship satisfaction, child-rearing, and abuse risks in poly relationships.
Scott Alexander tests a hypothesis about gender integration moderating political views using his survey data, finding no significant effect of sibling gender on political attitudes.
Scott Alexander announces the results of the 2022 ACX survey, providing links to questions, results, and downloadable datasets, with notes on privacy measures and future analyses.
Scott Alexander announces Stage 2 of the 2023 Prediction Contest, encouraging participants to use any resources to make accurate predictions.
Scott Alexander investigates whether non-religious people are more prone to believing conspiracy theories, finding a U-shaped relationship between religiosity and skepticism.
Scott Alexander shares reader comments on his 'San Fransicko' book review, covering homelessness, crime statistics, and urban policy debates.
Scott offers corrections about Polymarket's status and updates on the 2022 prediction contest, including calls for collaboration and ideas.
Scott Alexander conducts a personal randomized controlled trial of a sleep supplement, finding no significant effect over placebo, but gains insights into his sleep patterns.
Scott Alexander analyzes survey data to investigate whether assortative mating among highly analytical people increases autism risk in their children, finding no significant evidence for this hypothesis.
Scott Alexander presents the results of the 2020 Slate Star Codex survey, including links to data, privacy measures, and future analysis plans.
Scott Alexander partially retracts and corrects his previous findings on age gaps and birth order effects after errors were identified in his analysis.
Scott Alexander follows up on his critique of a book about the Baumol effect, presenting data that challenges the book's claims about rising wages driving cost increases in education and healthcare.
Scott Alexander analyzes birth order effects in SSC readers, finding strong effects for sibling age gaps of 1-7 years, with a significant drop-off after 7 years.
Scott Alexander tests the claim that mathematicians' preference for algebra or analysis predicts their corn-eating style, finding no significant correlation in a survey of over 2,600 respondents.
Scott Alexander announces the results of the 2019 Slate Star Codex survey, providing links to the questions, results, and downloadable public datasets.
Scott Alexander investigates the complexities of using Google Trends for mental health research, proposing methods to improve accuracy and interpretation of search data.
Scott Alexander reports on a survey about nighttime ventilation interventions, finding modest overall improvements but some individual success stories.
Scott summarizes and responds to comments on his technological unemployment article, covering various debates, critiques, and potential explanations for observed trends.
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