41554 blogs · [ { "id": "01a08770-eb1b-716b-a37c-09015641e763", "title": "Open source contribution and job search as matching markets under AI-induced congestion", "url": "https://e10v.me/matching-markets-congestion/", "published_at": "2026-04-18T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-090156e461e8", "title": "Comparing Python packages for A/B test analysis: tea-tasting, Pingouin, statsmodels, and SciPy", "url": "https://e10v.me/python-packages-for-ab-test-analysis/", "published_at": "2026-03-01T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-090157346ba8", "title": "Prices as model weights: learning from dispersed data", "url": "https://e10v.me/prices-as-model-weights/", "published_at": "2025-10-24T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-0901581430c9", "title": "Ladder of questions in analysis", "url": "https://e10v.me/ladder-of-questions-in-analysis/", "published_at": "2025-05-12T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-090158173587", "title": "Curious facts about Ronald Fisher", "url": "https://e10v.me/curious-facts-about-ronald-fisher/", "published_at": "2024-08-12T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-0901588c631a", "title": "tea-tasting: a Python package for the statistical analysis of A/B tests", "url": "https://e10v.me/tea-tasting-analysis-of-experiments/", "published_at": "2024-07-29T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-090158d6038c", "title": "This meeting could have been", "url": "https://e10v.me/this-meeting-could-have-been/", "published_at": "2024-06-05T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-0901590c5ca0", "title": "Readme Driven Development for an A/B testing analysis package", "url": "https://e10v.me/tea-tasting-rdd/", "published_at": "2023-12-11T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-09015973bbba", "title": "Debunking the Dunning–Kruger effect with random number simulation", "url": "https://e10v.me/debunking-dunning-kruger-effect/", "published_at": "2023-09-25T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-0901599da8b8", "title": "Ranking in a two-sided matching platform (Part 2)", "url": "https://e10v.me/ranking-two-sided-matching-platform-part-2/", "published_at": "2023-08-28T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-090159e448c8", "title": "Ranking in a two-sided matching platform (Part 1)", "url": "https://e10v.me/ranking-two-sided-matching-platform-part-1/", "published_at": "2023-08-15T00:00:00+00:00" }, { "id": "01a08770-eb1b-716b-a37c-09015a8c8594", "title": "rico: rich content to HTML as easy as Doc(df, plot)", "url": "https://e10v.me/rico-rich-content-to-html-easy/", "published_at": "2023-08-10T00:00:00+00:00" } ] posts Claim your blog

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2026

Open source contribution and job search as matching markets under AI-induced congestion original ↗

18 Apr 2026

Comparing Python packages for A/B test analysis: tea-tasting, Pingouin, statsmodels, and SciPy original ↗

1 Mar 2026

2025

Prices as model weights: learning from dispersed data original ↗

24 Oct 2025

Ladder of questions in analysis original ↗

12 May 2025

2024

Curious facts about Ronald Fisher original ↗

12 Aug 2024

tea-tasting: a Python package for the statistical analysis of A/B tests original ↗

29 Jul 2024

This meeting could have been original ↗

5 Jun 2024

2023

Readme Driven Development for an A/B testing analysis package original ↗

11 Dec 2023

Debunking the Dunning–Kruger effect with random number simulation original ↗

25 Sept 2023

Ranking in a two-sided matching platform (Part 2)original ↗

28 Aug 2023

Ranking in a two-sided matching platform (Part 1)original ↗

15 Aug 2023

rico: rich content to HTML as easy as Doc(df, plot)original ↗

10 Aug 2023