- NYT in story-first mode
- It's random because we say so
- Residual problems of intelligence
- Game of telephone for data messaging
- How do storytellers use data?
- Covid vaccines contain PEDs, according to an athlete
- Were the U.S. polls accurate?
- Long live anonymity
- Strange PR for statistics
- Long story behind simple metrics

Apr: 2 Data Visualization Seminar, Pasadena, CA

Mar: 30 ASA DataFest, New York, NY

See more here

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License

- Andrew Gelman
*Statistical Modeling, Causal Inference and Social Science (Columbia)* - Ben Goldacre
*Bad Science, debunking bad medicine* - Cathy O'Neil
*mathbabe: Exploring and venting about quantitative issues* - Chance News
*Statistics in the news* - Christian Robert
*Xi'an's Og: statistics, theory (Paris Dauphine)* - David Spiegelhalter
*Understanding Uncertainty (Cambridge)* - Dean Baker
*Beat the Press: economics* - Felix Salmon
*Economics* - Franz Dill
*The Eponymous Pickle* - JMP
*Statistics, dataviz, experimental design, etc.* - John D. Cook
*The Endeavour: Statistics, applied math, computing* - Larry Cahoon
*Good Stats, Bad Stats* - Larry Wasserman
*Normal Deviate: statistics, theory* - Michael Trick
*Operations research (Carnegie Mellon)* - Nate Silver
*FiveThirtyEight: Polls, politics, sports* - John Johnson
*Biostats, clinical trials* - Significance Magazine
*From RSS and ASA* - Simply Statistics
*Jeff Leek, Robert Peng, Rafa Irizarry (Johns Hopkins)* - Social Science Statistics
*Harvard* - STATS
*Numbers Behind the News (GMU)*

- Aggregation (133)
- Algorithms (110)
- Analytics-business interaction (218)
- Artificial intelligence (42)
- Assumptions (69)
- Bayesian (12)
- Behavior (147)
- Bias (277)
- Big Data (281)
- Blogs (125)
- Books (32)
- Business (406)
- Business tip (20)
- Career advice (1)
- Causation creep (26)
- Cause-effect (243)
- Chapter 1 (29)
- Chapter 2 (49)
- Chapter 3 (24)
- Chapter 4 (50)
- Chapter 5 (19)
- Controls (98)
- Covid-19 (204)
- Crime (47)
- Current Affairs (361)
- Data (449)
- Data Science The Missing Pieces (8)
- Dataviz (42)
- Decision-making (154)
- Dilemma of being together (6)
- Economy (70)
- Education (100)
- Environment (8)
- Errors (274)
- Ethics (181)
- Fairness (21)
- False confession (2)
- False negative (78)
- False positive (115)
- Film (11)
- Food (63)
- Games (4)
- Health (308)
- Hiring (14)
- How to act like a data scientist (4)
- Inside the Black Box (2)
- Interview (10)
- Junk Charts (21)
- Know your data (50)
- Machine learning (89)
- Mass media (102)
- Medicine (238)
- Models (253)
- Music (6)
- Neat reads (7)
- Numbersense (14)
- Numbersense Pros (9)
- NumbersRuleYourWorld (11)
- Politics (110)
- Press (55)
- Principal Analytics Prep (12)
- Professional foul (3)
- Proxy unmasking (10)
- Rules (11)
- Science (526)
- Significance (163)
- Sports (63)
- Statbusters (12)
- StatImproWords (6)
- Statisticians (393)
- Story time (41)
- Story-first (8)
- Suggested reading (2)
- Surveys (34)
- Sway of being asymmetric (1)
- Television (7)
- Tests (198)
- Travel (50)
- Variability (264)
- Web/Tech (196)
- XYopia (4)

## Recent Comments