Not So Standard Deviations
Latest Episodes
168 - Mugs for Data Science
Hilary and Roger design a coffee experiment, sell some mugs, and discuss Rogers college transcript. Show Notes: Contact us at nssdeviations @ gmail.com Podcast art by Jessica Crowell
167 - Twilight of the Bird
Hilary and Roger follow up on DALL-E and discuss the main topic of the day Twitter and whether there are any viable alternatives. Show Notes: Contact us at nssdeviations @ gmail.com Podcast
166 - Podcast in the Style of Data
Hilary and Roger discuss Rogers latest coffee conundrum, remaking the 2007 Apple store, and using DALL-E for ad campaigns. And Roger is hiring a postdoc! Show Notes: : Contact us at nss
165 - QR No-Code
Hilary and Roger celebrate their podcast-iversary by discussing The Dropout, Hilarys startup experience, and developing a totally straightforward system for living in two different locations. Show
164 - What is Data Science?
Hilary and Roger are back after a short break to discuss Rogers new job, the meaning of data science, and limited liability algorithms. Show Notes: Contact us at nssdeviations @ gmail.com
163 - Life Extension Juice
Hilary and Roger reflect on rstudio::conf(2022) and follow up on assumptions vs. constraints for statistical methods. Show Notes: Contact us at nssdeviations @ gmail.com Podcast art by Jess
162 - Conference Planning
Hilary and Roger discuss the upcoming RStudio Conference and figure out what talks Roger should go to. Show Notes: Contact us at nssdeviations @ gmail.com Podcast art by Jessica Crowell
161 - CoPodcasting
Hilary and Roger follow up on TikTok, Twitter, and then discuss why statisticians are so bad at training people in data analysis. Show Notes: Contact us at nssdeviations @ gmail.com Podcast
160 - Sentient Podcast
Hilary is fresh from raising capital and Roger thinks they should start a TikTok account. Show Notes: Contact us at nssdeviations @ gmail.com Podcast art by Jessica Crowell
159 - Ecosystems vs. Platforms
Hilary and Roger discuss deprecated packages, the tidyverse ecosystem, the end of fashion, creators and platforms, and whether certain people understand data science. Show Notes: Contact us