DataFan · Prof. Fan
Reader habit · long-tail return visits

Subscribe to DataFan — bring updates back to your own timeline

Algorithms bury daily notes; RSS does not. Take the site-wide feed, or subscribe only to AI concepts, paper briefs, the knowledge base or the blog. Email, WeChat and Bilibili remain available for curated drops.

Site-wide RSS (start here)

A mixed feed of AI concepts, paper briefs, knowledge guides, blog posts and research resources.

Open feed
https://datafun.bitou.tech/feed.xml
FeedlyInoreaderJSON FeedDownload OPML (all topic feeds)

Topic feeds

Drop a single column into Feedly, Inoreader or Follow if you only want one stream.

AI concepts

5–6 items / day

Daily AI concepts and events with Prof. Fan's commentary — models, agents, compute and research applications.

/ai-infra/concepts/feed.xml
RSSOpen page

Paper briefs

Weekdays

Daily curated briefs of top-journal papers with Chinese notes, method tags and why-it-matters.

/paper-brief/feed.xml
RSSOpen page

Blog

Occasional long-form

Original essays on econometrics, causal inference, Stata and AI-assisted research.

/blog/feed.xml
RSSOpen page

Knowledge base

Method guides

Long-form guides on DID, IV, RDD, panel data and synthetic control — intuition plus code.

/knowledge/feed.xml
RSSOpen page

Stata library

Template updates

Runnable Stata .do templates for DID, staggered DID, IV, RDD, panel and SCM.

/code-library/feed.xml
RSSOpen page

Journal tracking

Quarterly reports

Curated journal-method reports and representative entries (not third-party full texts).

/journal-tracking/feed.xml
RSSOpen page

Prompt library

Template updates

Research prompts for intros, reviews, empirical design, results and referee replies.

/ai-research/prompts/feed.xml
RSSOpen page

Skill library

Skill updates

Reusable skills for prompting, AI writing, data analysis and automation.

/ai-research/skills/feed.xml
RSSOpen page

Tool reviews

Quarterly reviews

Hands-on reviews of Claude, GPT, Gemini, Kimi and DeepSeek for econometrics research.

/ai-research/tools/feed.xml
RSSOpen page

Email digest

A curated send every 1–2 weeks if you prefer inbox over a reader.

Selected updates only. We do not sell the list.

WeChat & Bilibili

WeChat for timely posts; Bilibili for walkthroughs.

Open Bilibili channel

Why RSS is the reader layer

  1. 1. Daily briefs are high-frequency long-tail: subscribers come back every day instead of arriving only from search.
  2. 2. Topic feeds keep econometrics, AI and journal readers in their own lanes, which lowers unsubscribe.
  3. 3. Feedly, search engines and LLM crawlers all read RSS — a stabler distribution layer than the homepage.

You can also import these feeds into SoloKit FeedRSS