An Incomplete Collection
(Re-)Reading List
On Life
- This is Water by David Foster Wallace
- A Mathematician’s Lament by Paul Lockhart
- Maker’s Schedule, Manager’s Schedule by Paul Graham
- Lesson’s from Amazon by David Anderson
On Writing
- How to Send and Reply to email by Matt Might
- Publication, Publication by Gary King
On Learning How to Learn
- Teaching Smart People How to Learn by Chris Argyris
- Why Books Don’t Work by Andy Matuschak
- Evergreen Notes by Andy Matuschak
On Getting a PhD (in Econ or Marketing)
- Ken Wilbur: Reasons to Get (or Not) a PhD and Choosing a field, Subfield, and PhD Program
- Susan Athey: Professional Advice
- Jesse Shapiro: Notes on Applying for a PhD in Economics
- Anatoli Colicev: The PhD Journey
- Martin Schwartz: The Importance of Stupidity in Scientific Research
Resources
Blogs
- Stephan Seiler’s Annual “Best of” lists]
- Joel Cadwell (inactive)
- John Cook
- Marc and Jeff Dotson
- Chris Chapman’s QuantUX
- Andrew Gelman
- Richard McElreath
- Cosma Shalizi
- Andrew Heiss
- Guide to understanding the intuition behind the Dirichlet distribution
- The ultimate practical guide to multilevel multinomial conjoint analysis with R
- The ultimate practical guide to conjoint analysis with R
- A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models
- InstaCart
- Netflix
- Airbnb
- Amazon Science
R Books
- Big Book of R compiled by Oscar Baruffa
- R for Data Science by Hadley Wickham and Garrett Grolemund
- Advanced R by Hadley Wickham
- Advanced R Solutions by Malte Grosser and Henning Bumann
- ggplot2 by Hadley Wickham
- R Packages by Hadley Wickham and Jenny Bryan
- Tidy Modeling with R by Max Kuhn and Julia Silge
- Modern R with the Tidyverse by Bruno Rodrigues
- Building reproducible analytical pipelines with R by Bruno Rodrigues
- Scaling Up with R and Arrow by Nic Crane, Jonathan Keane, and Neal Richardson
- R for the Rest of Us: A Statistics-Free Introduction by David Keyes
- Data Visualization: A Practical Introduction by Kieran Healy
Git Books
- Pro Git by Scott Chacon and Ben Straub
- Happy Git and GitHub for the UserR by Jenny Bryan
- Git in Practice by Mike McQuaid
Vim Resources
- OpenVim by Henrik Huttunen
- Mastering the Vim Language recorded presentation by Chris Toomey
- Vim as Your Editor a 6-part playist by ThePrimeagen
Other Data/Stats Books
- A Collection of Econometrics Resources by Giuseepe Cavaliere
- Applied Machine Learning for Tabular Data by Max Kuhn and Kjell Johnson
- Teaching Bayesian Statistics by TALMO
- Statistical Rethinking 2 with rstan and the tidyverse by Solomon Kurz
- Telling Stories with Data by Rohan Alexander
- Statistical Tools for Causal Inference by Sylvain Chabe-Ferret
- Python 4 Data Science by Arthur Turrell and others
- Data Science at the Command Line by Jeroen Janssens
- The Unix Workbench by Sean Kross
- Dev Ops for Data Science by Alex Gold
- Stat447: Data Science Programming Methods by Dirk Eddelbuettel
- Applied Causal Inference Powered by ML and AI by Chernozhukov, Hansen, Kallus, Spindler, and Syrgkanis
- The Data Science Handbooks: Advice and Insights from 25 Amazing Data Scientists by Shan, Wang, Chen, and Song
Notes
- Hierarchical Modeling by Michael Betancourt
- Keep Calm and Learn Multilevel Logistic Modeling by Nicolas Sommet and Davide Morselli
- Math-Stat Course Notes by Joshua Tebbs
- Notes by Adam N Smith
- Econometrics Notes by Tim Armstrong
Quotes
Ira Glass: Good Taste & Volume of Work (link)
Nobody tells this to people who are beginners, I wish someone told me.
All of us who do creative work, we get into it because we have good taste. But there is this gap. For the first couple years you make stuff, it’s just not that good. It’s trying to be good, it has potential, but it’s not. But your taste, the thing that got you into the game, is still killer. And your taste is why your work disappoints you.
A lot of people never get past this phase, they quit. Most people I know who do interesting, creative work went through years of this. We know our work doesn’t have this special thing that we want it to have. We all go through this. And if you are just starting out or you are still in this phase, you gotta know its normal and the most important thing you can do is do a lot of work. Put yourself on a deadline so that every week you will finish one story. It is only by going through a volume of work that you will close that gap, and your work will be as good as your ambitions. And I took longer to figure out how to do this than anyone I’ve ever met. It’s gonna take awhile. It’s normal to take awhile. You’ve just gotta fight your way through.
Teddy Roosevelt: The Man in the Arena (link)
It is not the critic who counts; not the man who points out how the strong man stumbles, or where the doer of deeds could have done them better.
The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again, because there is no effort without error and shortcoming; but who does actually strive to do the deeds; who knows the great enthusiasms, the great devotions; who spends himself in a worthy cause; who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly, so that his place shall never be with those cold and timid souls who neither know victory nor defeat.