P-values get a large share of the blame for the replication crisis in science. People take for granted that the tests they use work without justifying the leap from data to model. Often, reported p-values are erroneous because the underlying model doesn’t accurately describe the way the data arose. I gave three examples of hypothesis tests I’ve developed where standard methods of analysis have failed: testing the adequacy of pseudo-random number generators for statistical simulations, gender bias in student evaluations of teaching, and risk-limiting election auditing.
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November 2020 was the lowest time for me during the COVID-19 pandemic. My boyfriend left to spend a month with his faimly across the country, while I stayed home in our apartment. Aside from a few days visiting my sister, I spent the month without human contact.
8 minute read
Hello readers! It’s been a long time since I posted on this blog. Years, actually. During that time, I finished my PhD at UC Berkeley and started working at Pinterest. It was an adjustment, to say the least. I traded my 10 minute walk to campus for an hourlong bus ride across the Bay Bridge; freedom to work from anywhere with Wifi for butt-in-chair from nine to five; the pursuit of knowledge for the pursuit of measurable business impact.
6 minute read
If you follow me on social media, you might’ve seen that I’ve been traveling a ton this past year, and most of it has been related to my grad school work. In my five years as a PhD student, I’ve visited five states and five countries for conferences and other events. As someone who didn’t travel much as a kid, I’ve been loving these opportunities!