Using the CDC WONDER data for opioid deaths and the NYTimes data for COVID-19, I show the cumulative deaths (y-axis) from all opioids (blue) and from COVID (red) over time (x-axis).
Student’s Tay Distribution
This year, she’s managed to release two albums — they’re both very good. However, I noticed there seemed to be more profanity than I had remembered on her older albums. Here, I’ll use tidytext
to see if she has actually increased her rate of profanity or if I’m simply misremembering things.
My collaboration network for 2010 to 2020 (+ other plots)
All that said, I’m thankful for a strong network of kind collaborators who picked up my slack when necessary, checked in on me even when we didn’t have an active project, and understood when childcare issues caused last minute Zoom cancellations.
You’ll have plenty of time to work with famous, smart, and/or fun people — 2020 was a good reminder of the importance of working with kind people.
Comparing daily (direct) COVID-19 deaths to other causes of death
We’re on track for over 3,000 deaths per day by Christmas (!!) — things are not good.
Applying an intro-level networks concept to deleting tweets
If you just want the R
code to delete some tweets based on age and likes, here it is (noting that it is based on Chris Albon’s Python script). In this post, I go over a bit of code about what I thought was an interesting problem: given a list of tweets, how can we identify and group threads?
Things to consider before applying for a K99/R00
Here, I will try to pay it forward by sharing some thoughts and advice. There are plenty of good blog posts about applying for K99’s, so I’ll try to avoid repeating those. Instead, I’m going to focus on things I didn’t know before and/or didn’t read elsewhere. It will be based on (1) insight from others who applied, (2) advice from mentors of successfully funded applicants, and (3) my interpretation from reading about 20 K-award summary statements and applications (both funded and unfunded).
If there’s enough interest in the topic, I might write about the writing process itself, but here I’m going to focus on things to do before you apply. The tl;dr is (1) consider non-K99 options, (2) apply early in your postdoc, (3) give yourself more time than you think you’ll need, (4) be strategic about your target institution, and (5) avoid easy critiques.