About Reckless Analysis

Reckless Analysis is a data science blog for people who like their insights statistically shaky and their commentary bone-dry.

We scrape, slice, wrangle, and occasionally mangle data in pursuit of half-baked conclusions and dangerously reasonable opinions. Expect Python scripts, weird graphs, and a few too many jokes about how everything is technically a time series if you believe hard enough.

This isn’t the place for influencers talking about their personal brand of AI. It’s for curious people who enjoy messy experiments, good charts, and the kind of conclusions you wouldn’t cite in a peer-reviewed paper — but might bring up at a party (the right kind of party).

About the Author

The blog is written by Nathan Willis, a recovering aerospace engineer turned modeling & simulation specialist turned data science grad student. He currently works at USSTRATCOM, because obviously the best use of national security vetting is enabling spicy matplotlib plots.

Nathan has worked on everything from nuclear command and control simulations to orbital dynamics to figuring out if Nebraska's broadband map is lying to us (it is). He’s been paid to write code in Python, R, VBA, and even Perl, which he describes as “a decision made during a different phase of life.”

He is currently pretending not to procrastinate his Master’s in Data Science at UT Austin while wrangling charts, children, and a frightening number of git branches.

Statistically significant? Probably not. Entertaining? Hopefully.