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Christopher Peters

Personal blog · statwonk.comdataaicareer

Christopher Peters writes Statwonk, a personal blog at statwonk.com about data, ai and career. Since 2015, 4 different Hacker News readers have linked it 32 times, most often “Beyond Hypothesis Tests and P-Values: Model Iteration in Science and Business”. It has a working feed you can follow.

Visit the blog
32mentions?
4HN people?
2015–2026first – last linked?
Links on Hacker News per year · peak 8 in 2016

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

HN readers link this blog for its Boeing passenger jet sales data. One commenter defends the data as imperfect but the only data available, and says critics of it are unfair.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Hands-on data science, AI, and technical leadership from Christopher Peters. Marketing mix modeling for Single Grain, leadership at RIZZARR, and experience as Principal Data Scientist at Zapier.

Most-linked posts?

  1. Beyond Hypothesis Tests and P-Values: Model Iteration in Science and Business
    2 people · 2 mentions · first linked 2023-10-01
  2. Probability of shared birthdays in a group
    2 people · 2 mentions · first linked 2015-08-27

What Hacker News says?

  1. Exactly, it’s a smuggled assumption. A standard deviation is the second moment of a normal distribution. A negative binomial is a much better model for count data: https://statwonk.com/poisson-gamma-negative-binomial.html

    Comment linking /poisson-gamma-negative-binomial.html

    on “Simple Anomaly Detection Using Plain SQL”
  2. Submitted What's Y Combinator's conversion rate? as a story · 148 points

    HN discussion
  3. It's for this reason that I like publishing straight to my blog: http://statwonk.com/weibull.html Let the code / math do the work. I intentionally make it easy to pick up, modify and inspect. The benefit to me is precisely being alerted if it isn't replicable.

    Comment linking /weibull.html

    on “Psychology’s Replication Crisis Is Real”
  4. Submitted Negative binomial / binomial experiments: frequentist or Bayesian? as a story · 46 points

    HN discussion
  5. It's possible to host a Shiny app yourself. This one runs on AWS EC2 inside a docker container: http://www.statwonk.com/birthday-problem/

    Comment linking /birthday-problem/

    on “Interactive NBA Shot Charts with R and Shiny”
  6. Submitted U.S. pay gap by sex by occupation as a story · 44 points

    HN discussion
  7. I'm not trying to lie and I'm aware my data isn't perfect, but I'm the only one providing any data at all so far. I have repeatedly asked for better data and been denied. I can only analyze the data I have, imperfect though it may be. When someone is consistently asking for better data, criticizing that person's data is kinda dumb. > Does Malaysia Airlines having one airplane shot down by the Russians, and another s…

    Comment linking /are-boeing-planes-more-dangerous-than-airbus-planes.html

    on “Boeing sold just three passenger jets in the past month”
  8. Submitted Breaking down a Ford recall with stats as a story · 16 points

    HN discussion
  9. I used AI to unpack it a bit here: https://statwonk.com/econometricians-can-build-decision-engi... I'd generally point to econometrics and statistics applied to business. The key activity is causal inference and then the context determines the mix of econo vs. stats required to help the org make high-quality decisions to increase output or make it more lucrative or higher-quality.

    Comment linking /econometricians-can-build-decision-engines.html

    on “Nobody ever gets credit for fixing problems that never happened (2002) [pdf]”
  10. Submitted Show HN: FDA Drug Reactions as a story · 15 points

    HN discussion
  11. Location: Brighton, MI, USA Remote: Yes Willing to relocate: Yes Technologies: Bayesian statistics, econometrics, causal inference, experimental design, machine learning, AI systems, R (expert), Python (expert), SQL (expert), Stan/brms, PyMC, scikit-learn, tidyverse, PostgreSQL/Redshift, AWS, Airflow, Ansible, Terraform Résumé/CV: https://statwonk.com/about/

    Comment linking /about/

    on “Ask HN: Who wants to be hired? (April 2026)”
  12. Submitted Are ClinicalTrials.gov p-values clustered around .05? as a story · 14 points

    HN discussion
  13. Submitted U.S. natural gas pipeline incidents are less common as a story · 3 points

    HN discussion
  14. Submitted Stackoverflow tags most used with [r] and [python] as a story · 2 points

    HN discussion
  15. Submitted Stackoverflow tags complementary to [r] and [python] as a story · 2 points

    HN discussion
  16. Submitted Estimating the Apache Incubator's graduation rate as a story · 2 points

    HN discussion
  17. Submitted Modeling subscription churn as a story · 2 points

    HN discussion
  18. Submitted Show HN: Prompt Enricher – paste a rough prompt, get a structured one back as a story · 1 points

    HN discussion
  19. Submitted How Long Do Major Strait of Hormuz Disruptions Last? as a story · 1 points

    HN discussion
  20. Submitted Beyond Hypothesis Tests & P-Values: Iterative Refinement in Science and Business as a story · 1 points

    HN discussion
  21. Submitted Beyond Hypothesis Tests and P-Values: Model Iteration in Science and Business as a story · 1 points

    HN discussion
  22. Submitted What happens if we peek at experiments? as a story · 1 points

    HN discussion
  23. Submitted Estimating the chance of Supreme Court turnover, how likely? as a story · 1 points

    HN discussion
  24. Submitted The benefit of introducing prior information in binomial experiments as a story · 1 points

    HN discussion
  25. Submitted Bernoulli experiments in stan as a story · 1 points

    HN discussion
  26. Submitted Generating zero-inflated negative binomial random numbers as a story · 1 points

    HN discussion
  27. Submitted A Parable on Customer-Base Analysis as a story · 1 points

    HN discussion
  28. Submitted How to model SaaS churn for experiments as a story · 1 points

    HN discussion
  29. Submitted R's library function as a story · 1 points

    HN discussion
  30. Submitted Probability of shared birthdays in a group as a story · 1 points

    HN discussion

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