All the sections
The dunghill
More synthetic silliness with synthetic populations (August 2025)
Hidden trade-offs in facial age estimation (July 2025)
Why you should be overthinking it (June 2025)
The last word on synthetic respondents (May 2025)
Karl Popper and the blandness of LLMs (April 2025)
All lost in the pseudo-market (March 2025)
Something’s wonky in AB testing (February 2025)
Who’s zooming who? Can AI boost your sample? (January 2025)
Am I doing AI? (December 2024)
Saying no to the naysayers (November 2024)
The cult of smart (October 2024)
Academia takes on market mix models.. at last (September 2024)
LinkedIn’s sticky trap for data scientists (August 2024)
Buzzwords that are on your side (July 2024)
When is an A/B test not an A/B test? (June 2024)
More bullshit jobs in statistics (May 2024)
Semi-supervised
Some helpful words for a frequentist (August 2025)
The strength of an analogy (July 2025)
The casual causal map (June 2025)
The space/point flip (May 2025)
Toy problems are not just for textbooks (April 2025)
AI task environments and feasibility studies (March 2025)
The neglected art of concept mapping (February 2025)
Tidying the room (January 2025)
What’s my ontology? (December 2024)
What is a hallucination? (November 2024)
How python can help us understand random variables (October 2024)
Freelancing as a data scientist (September 2024)
Scoring the base (August 2024)
Outmanoeuvring boardroom alphas (June 2024)
What’s with the RMSE? (May 2024)
The white stuff
What makes text human? (August 2025)
Explore and distil - papers you can play with (July 2025)
The simple pleasures of a big fat text book (June 2025)
For the love of layouts (May 2025)
Random randomisation in clinical research (April 2025)
Maximise your lack of commitment with E T Jaynes (March 2025)
An intelligent take on intelligence (February 2025)
The Orwellian implications of generative AI (January 2025)
Gödel and hallucinations (December 2024)
Overfitting in philosophy and more questionable practices (November 2024)
The deep roots of deep learning (October 2024)
Kolmogorov-Arnold Networks and handling the hype (August 2024)
Simpler models and the Rashomon effect (July 2024)
New correlations and revisiting Dreyfus (June 2024)
The papers that started it off: GPT and the replication crisis (May 2024)
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