The Curious Engineer

All blogs / Science

Chris Said

chris-said.io

ScienceMathSociety / politics / economy

’15’20’25
Posts
66 from 17 Apr 2012 to 3 Jun 2026
Posting
now and then (2 in the last year)
Kind
personal blog
Feed
https://chris-said.io/atom.xml

2026 2

  1. Dr. Oz as CMS Administrator: A review
  2. You don't want luxury unemployment

2025 1

  1. Beef-o-tuna-tarianism: The low effort way to improve animal welfare

2024 5

  1. No, we are not underinvested in squishy charities
  2. Bounty hunters for science
  3. Scientific whistleblowers can be compensated for their service
  4. The case for criminalizing scientific misconduct
  5. The respiratory infection study to end all respiratory infection studies

2023 3

  1. The Air Quality Index doesn’t make any sense
  2. The El Chapo model of AI containment
  3. Double descent in human learning

2022 6

  1. A map of laboratory-acquired infections
  2. Small correlations can drive large increases in teen depression
  3. The uncertainty pill
  4. Ke (2021) is not logarithmic
  5. 10x the live viral count, 10x the infectiousness
  6. Waning immunity and the little paradox of R0

2021 6

  1. Pandemic virus prediction: All risk and minimal benefit
  2. Teens, loneliness, and the social media paradox
  3. The FDA is 5X too worried about long term credibility
  4. Autism, folic acid, and the trend without a blip
  5. You’re probably measuring your treatment effect incorrectly
  6. Instrumental variables analysis for non-economists

2020 10

  1. Things that confused me about cross-entropy
  2. Contagiousness sensitivity: The metric that could control the pandemic
  3. Upgrading to MathJax 3.0 after the Kramdown update in Github Pages
  4. Why low sensitivity antigen tests are better than slow PCR tests
  5. Everything I've learned about solar storm risk and EMP attacks
  6. Coronavirus and fragmented data pipelines
  7. The shower problem
  8. Optimizing sample sizes in A/B testing, Part III: Aggregate time-discounted expected lift
  9. Optimizing sample sizes in A/B testing, Part II: Expected lift
  10. Optimizing sample sizes in A/B testing, Part I: General summary

2019 1

  1. Variance after scaling and summing: One of the most useful facts from statistics

2018 2

  1. Using your ears and head to escape the Cone Of Confusion
  2. Hyperbolic discounting — The irrational behavior that might be rational after all

2017 5

  1. Religions as firms
  2. Three questions for social scientists: Internet virtue edition
  3. Keyboard shortcuts I couldn't live without
  4. Learning by flip-flopping
  5. Empirical Bayes for multiple sample sizes

2016 4

  1. Optimizing things in the USSR
  2. Comparing the opinions of economic experts and the general public
  3. Four pitfalls of hill climbing
  4. How to make polished Jupyter presentations with optional code visibility

2015 3

  1. New Blog Address
  2. 10 classic dialogues you can find on the internet
  3. Across industries, we’re getting better at picking metrics

2014 7

  1. Independent t-tests and the 83% confidence interval: A useful trick for eyeballing your data.
  2. Jumping quickly between deep directories
  3. How failed replications change our effect size estimates
  4. Jason Mitchell's essay
  5. How I use Twitter
  6. High School STEM curriculum wishlist
  7. Is your job in another state?

2013 6

  1. My Insight Data Science Project
  2. FAQ for Which Famous Economist
  3. New model of binocular rivalry
  4. Canadian funding models for all
  5. Eight Lessons from the Reproducibility Crisis
  6. In defense of correlation/causation blowhards

2012 5

  1. New paper on autism
  2. Why are contrast response functions linear in fMRI and nonmonotonic in EEG?
  3. National labs for all the sciences
  4. Faq
  5. It’s the incentive structure, people! Why science reform must come from the granting agencies.