Scott Alexander presents evidence supporting the legitimacy of bisexual identity, explaining why many bisexuals primarily date the opposite sex despite genuine attraction to both. Longer summary

Scott Alexander discusses the common accusation that self-identified bisexuals are faking their sexuality for trendiness. He presents statistical and biological evidence to explain why bisexuals often end up in heterosexual relationships despite genuine attraction to both sexes. The post explores dating pool sizes, social pressures, and biological arousal patterns to support the legitimacy of bisexual identity. Scott argues that as social acceptance increases, more people recognize their bisexual tendencies, even if they primarily date the opposite sex. He concludes by relating this to the original question about bisexuality and Long COVID, suggesting a possible link through neurodivergence and increased self-awareness. Shorter summary

Scott explores various technological and market-based approaches to dating and relationships, including prediction markets, matching sites, and cryptocurrency concepts. Longer summary

This post discusses various algorithmic and financial approaches to romance, focusing on prediction markets and other creative solutions. Scott examines Aella's date recommendation market, matching checkbox sites, the Luna cryptocurrency dating site concept, and Peter Thiel's insights on social startups. He also reviews some current prediction markets related to dating and relationships. The post concludes with short links about an arranged marriage project and AI chatbot romance. Shorter summary