This article explores how a mathematician applies Fermi estimation and the Drake equation to model the probability of finding a partner in London, illustrating the power of simple mathematical reasoning for everyday life questions.
This article examines the design of the "Spring Heat Value Competition" activity for a local live‑dating platform, detailing how game‑like mechanics, emotional curves, and visual styling were used to strengthen host‑user relationships, increase user participation, and drive a 116% rise in gift revenue.
In a playful data‑driven experiment, the author scraped 27,664 Zhihu answers to “What are your dating criteria?”, filtered out short, outdated, high‑profile or already‑matched posts, applied follower‑and engagement‑thresholds to narrow the pool to 480 candidates, then ranked the top 30 by a like‑to‑comment ratio, sharing the code and dataset for reproducibility.
This article walks through a complete data‑analysis workflow—scraping Zhihu dating‑preference answers, cleaning and filtering the data, deriving gender and activity metrics, designing a four‑step screening process, and finally ranking candidates with a custom like‑to‑comment index—to help a single programmer create a concise, high‑quality list of potential partners.
This article uses the classic stable matching (Gale‑Shapley) algorithm to model romantic courtship, illustrating how men‑proposing and women‑proposing versions lead to different stable pairings and highlighting the advantage of the proactive side in achieving preferred matches.
