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Dan Saber

Follow me at dsaber.substack.com

Programming Note

Hey all, After a number of issues with WordPress, I decided to take the Substack Plunge(TM). My newsletter, dsaber.substack.com, is up now, along with the first post: Management is policy implementation. Please give it a follow! It's free! Yours, Dan

Efficiency Is Bad for Happiness (And Our World Is Nothing if Not Efficient)

What is happiness? (he said, lighting up his bong) In this New York Times essay, Jennifer Senior investigates the life of Philip Brickman, the happiness researcher behind one of psychology's most famous findings -- that whether you win the lottery or suffer... Continue Reading →

My Q&A with the Coursera Community

Howdy! I did a Q&A with the wonderful Coursera Community that I wanted to pass along. It was a fun exercise, as it helped me crystallize my thinking on a range of hiring- and career-related topics. Read on for deeply... Continue Reading →

Destroy Your Country’s Economic Mobility with This One Neat Trick

I live in the Bay Area. The Bay Area is extremely expensive. (Source not cited.) Oppressively high housing costs have led to all kinds of fun social pathologies. San Francisco’s homelessness crisis is only the most well-documented. There is also… Continue Reading →

For The Economist: Corporate Values and Campaign Finance

I was interested in whether "woke" companies donate disproportionately to Democrats, or if their embrace of progressive causes is one big branding exercise. The answer? Kinda both (but mostly branding)! I'm unbelievably proud to say that my findings were published... Continue Reading →

Partner-Driven A/B Testing at Coursera

EDIT: Thanks to commenter gruddock, I learned that the conference organizers took down the talks from YouTube. Please see here for the slides. They include complete speaker notes. I recently attended the Data Science Innovation in eLearning Conference (hosted by Udemy... Continue Reading →

Time Keeps on Slipping: Exploiting Time for Causal Inference with Difference-in-Differences and Panel Methods

Note: This post assumes a passing familiarity with linear regression. Aside from that, it's a highly applied intro to D-in-D regression and panel data techniques. In Due Time In one of my favorite episodes of Futurama, the universe experiences "time skips."... Continue Reading →

For Inside Big Data: Making the Leap from Data Science Hopeful to Practioner

I wrote a post for Inside Big Data on transitioning into Data Science -- a topic I'm actually qualified to give advice on! It’s a familiar dilemma. You’ve done your research, read some books, taken some online classes – and at long... Continue Reading →

A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair)

Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas's Altair, a promising young visualization library. Altair seems well-suited to addressing Python's ggplot envy, and its tie-in with JavaScript's Vega-Lite grammar means that as the latter develops new... Continue Reading →

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