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ashishb.net

A day in Luxembourg - the richest country in the world I was asked to install malware during a fake interview Book summary: Breakneck - China's quest to engineer the future by Dan Wang Book summary: How to Teach Your Baby to Read Book Summary: The Discontented Little Baby Book by Pamela Douglas Introducing Amazing Sandbox - run third-party tools and AI agents securely on your machine Why software outsourcing gets a bad reputation? Book summary: The Natural Baby Sleep Solution by Polly Moore A day in Antwerp, Belgium Journey of online influencers Two days in Brussels, Belgium Shortcuts - when we love them and when we don't A visit to Rakhigarhi Three days in overhyped Paris Empty Japan, crowded Tokyo The real lock-in in GitHub is not the code, but the stars 11-day Norwegian Breakaway East Caribbean cruise Sanskrit and Sri Lankan Air Force Use REST with Open API The Achilles heel of American capitalism Costa Rica in 4 days At a juice stall in Sri Lanka A short stay at Warsaw, Poland Best practices for using Python & uv inside Docker Two days in Vilnius, Lithuania How IntelliJ IDEs waste disk space Pregnancy Why there aren't many digital nomads from India Two days in Riga, Latvia To keep your machine secure, run third-party tools inside Docker Family Ties in Your DNA: Some relatives are closer than others Doctors per capita Two days in Tallinn, Estonia Ship tools as standalone static binaries Made in America Two days in Helsinki, Finland Maintaining an Android app is a lot of work The land of good deals Two days in Oslo, Norway FastAPI vs Flask performance comparison Google Search is losing to Perplexity Two days in Dublin, Ireland Continuous integration ≠ Continuous delivery World's simplest project success heuristic London in 5 days It is hard to recommend Python in production Inflation, IRS, Credit cards, and Vendors Temu and the Chinese approach Things to do in Miami Florida Revenue vs Cost Axis Language learning as an adult The unanchored babies of the green card limbo Price variance in the United States A day in Louisville, Kentucky A surprisingly positive experience with Air India Unhospitable Airports Android: Don't use stale views USA = Union of Sales and Advertisement A day in Nashville, Tennessee Minimize Javascript in your codebase A day in Birmingham, Alabama In defense of ad-supported products Real vs artificial world The science behind Punjabi singers Hiking Mt. Fuji The Indian startup bubble is insane Repairing database on the fly for millions of users Book Summary: One up on Wall Street by Peter Lynch It is hard to recommend Google Cloud At the Prague airport Kyoto in three days Migrating from WordPress to Hugo Book summary: Sick Societies by Robert B. Edgerton Statistical outcomes require statistical games Illegal immigrants to Europe via Cairo Tokyo in three days Mobs are Status Games Writing Script matters as much as the spoken language Sri Lanka in 5 days LLMs: great for business but bad business Book Summary: Safe Haven by Mark Spitznagel Mac shortcut for typing Avagraha symbol On a bus with an asylum seeker Nicaragua in 5 days When to commit Generated code to version control Why I always buy a local SIM in a foreign country Use Makefile for Android Four days in Guadalajara, Mexico Android Navigation: Up vs Back Hotels vs Airbnb vs Hostels Currency issues in Argentina Abstractions should be deep not wide Some data on podcasting Always support compressed response in an API service A day in El Calafate - Patagonia, Argentina Hermetic docker images with Hugging Face machine learning models American Elections The sound of "ch" API services should always have usage Limits Hiking in El Chaltén - trekking capital of Argentina
Book Summary - Everybody Lies
Ashish Bhatia · 2020-09-02 · via ashishb.net

The book takes a data-driven approach to analyze the world.

  1. Both married and unmarried people exaggerate how often they have sex. Search for sexless marriage is 3.5 times more common than an unhappy marriage.
  2. On Obama’s elections results night, there were more searches for nigger president than the black president. Racist searches were no higher in Republican states than Democrats states.
  3. A Trump supporter would search for “trump Hillary …” While a Hillary supporter would put Hillary’s name first.
  4. Liberals search for “estate tax,” while conservatives search for “death tax”.
  5. Back pain does not correlate with pancreatic cancer. Back pain + yellowing skin does.
  6. Warm weather is twice as strong of antidepressants as the leading drug.
  7. The size of the heart, the left ventricle, predicts how good a horse is at racing.
  8. In the prediction business, you care about what works and not why it works.
  9. Women prefer saying tomorrow, so, “sooo,” etc. more than men.
  10. Social desirability bias leads one to lie in an in-person survey.
  11. “Regret not having children” more common search before children. “Regret having children” more common afterward.
  12. 9% more young girls are in gifted child programs, but parents search “is my son gifted” 2.5 times more. More sons are obese, but parents search for daughters being obese more often. No conservative or liberal difference in such a bias.
  13. Your chance of seeing an opposing viewpoint is higher online than offline.
  14. Google searches are digital truth, while social media posts are digital lies.
  15. Netflix used to ask the users for a wishlist, and people would give high brow aspirational movies they would never watch. It stopped asking and started predictions instead.
  16. Many of our random behaviors are formed because of certain events that happened during our childhood. A popular president during 14-24 years of your age will shape your views for life.
  17. Anxiety is higher in low education areas than in big cities.
  18. In the US, for the rich, the city of residence does not affect life expectancy. For the poor, it makes a huge difference. Having more rich people in the town is good for poor people’s life expectancy.
  19. College Town produces excellent outcomes because of the Gene pool and early exposure to innovation. Being in big cities helps too. It is great if the town has more immigrants as well.
  20. Violent movies reduce crimes as young men spent time in the theatre instead of drinking in the bar.
  21. Doppelganger searches are extremely powerful in predictions, including medical diagnosis. PatientsLikeMe.com
  22. Super bowl ads work because the revenues do go up.
  23. Keeping up with the Joneses - neighbors of lottery winners have an increased likelihood of bankruptcy due to overspending.
  24. Regression discontinuity analysis - do people barely missing a school entrance by a point worse off in like than those who make it? - No
  25. Getting into a great school like Harvard but not attending had a similar financial outcome to attending it.
  26. Curse of dimensionality - if you are testing too many dimensions, some will end up predicting just by chance.
  27. One fewer star on Yelp => 5-9 % drop in revenue