Newtonian Ethics
Scott satirically proposes and 'proves' that morality is a form of gravity, using pseudo-scientific reasoning and calculations.
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Scott satirically proposes and 'proves' that morality is a form of gravity, using pseudo-scientific reasoning and calculations.
Scott Alexander uses a thought experiment about a drum-free town to explore libertarian ideas on community rights, then applies these concepts to real-world housing issues and proposes charter cities as a potential solution.
Scott Alexander reports on a survey about nighttime ventilation interventions, finding modest overall improvements but some individual success stories.
Scott Alexander critically examines the concept of growth mindset, expressing skepticism despite compelling studies and discussing various issues with the theory and its interpretation.
Scott Alexander refutes the idea that an AI without a physical body couldn't impact the real world, presenting various scenarios where it could gain power and influence.
Scott Alexander refutes claims of American decline based on skyscraper construction, presenting data showing continued growth and recent boom in supertall buildings.
Scott argues for the importance of starting AI safety research now, presenting key problems and reasons why early work is crucial.
Scott Alexander argues that donating 10% of income to effective charities is a more impactful way to do good than political activism, and recommends joining Giving What We Can.
Scott Alexander explores the ethics of tattling and promise-keeping, arguing for the importance of trustworthy promises even when they conflict with moral imperatives.
Scott Alexander explores the concept of 'Lizardman's Constant' and its implications for interpreting poll results, especially those concerning unpopular beliefs.
Scott Alexander explores the concept of people 'nominating themselves for the short end of a tradeoff' through their actions, and how this relates to ideas of desert and justice, sometimes conflicting with utilitarian calculations.
Scott Alexander examines 'dualization' in various fields, comparing its effects to non-dualized professions and exploring its causes and broader implications in society.
Scott Alexander explores the difficulties of learning and explaining complex ideas, advocating for diverse approaches and collaborative learning despite internet criticism.
The post argues that 'non-shared environment' in twin studies is often misunderstood, encompassing more than just different experiences and potentially overestimating the impact of nurture on personality and life outcomes.
Scott Alexander reports on a survey of nootropics users, finding mixed results for various substances and discussing methodological challenges in assessing their effectiveness.
Scott Alexander promotes a charity event, encouraging donations to MIRI or Sankara Eye Foundation to help them win valuable services.
Scott reflects on his hasty utopian science post, viewing it as a success for prompting Robin Hanson to expand on academic prediction markets.
Scott examines the concept of political tolerance, questioning where and why society draws the line between acceptable and unacceptable political views.
Scott Alexander shares his experiences and insights from the Asilomar Conference on Beneficial AI, covering various aspects of AI development, risks, and ethical considerations.
Scott Alexander provides updates on the Less Wrong survey, his NYC trip, an upcoming meetup, and asks for lawn care advice.
Scott Alexander examines how 'fnords' and similar psychological techniques may influence political discourse and polarization through unconscious associations.
Scott Alexander deletes his blog Slate Star Codex to prevent the New York Times from revealing his real name, citing professional and safety concerns.
Scott Alexander defends Bayesianism as a valuable epistemology, contrasting it with absolutist and nihilistic approaches, and argues for its usefulness in complex reasoning.
Scott Alexander discusses the problem of overconfidence in probability estimates, arguing that extreme certainty is rarely justified, especially for complex future predictions.
Scott defends the Myers-Briggs Type Indicator as a useful, if unscientific, tool for categorizing personalities, comparing it to European country classifications.