I just posted Episode 5 of Not So Standard Deviations so check your feeds! Sorry for the long delay since the last episode but we got a bit tripped up by the Thanksgiving holiday. In this episode, Hilary and I open up the mailbag and go through some of the feedback we've gotten on the
I've recently seen a bunch of press on this paper, which describes an experiment with developing a prediction market for scientific results. From FiveThirtyEight: Although replication is essential for verifying results, the current scientific culture does little to encourage it in most fields. That’s a problem because it means that misleading scientific results, like those from the
Episode 4 of Not So Standard Deviations is hot off the audio editor. In this episode Hilary first explains to me what heck is DevOps and then we talk about the statistical challenges in detecting rare events in an enormous set of time series data. There's also some discussion of Ben and Jerry's and the
The joint ASA/Simply Statistics webinar on the statistics identity crisis is now live!
Theranos is a Silicon Valley diagnostic testing company that has been in the news recently. The story of Theranos has fascinated me because I think it represents a perfect collision of the tech startup culture and the health care culture and how combining them together can generate unique problems. I talked with Elizabeth Matsui, a
I just uploaded Episode 3 of Not So Standard Deviations so check your feeds. In this episode Hilary and I talk about our jobs and the life of the data scientist in both academia and the tech industry. It turns out that they're not as different as I would have thought. Download the audio file for this
The Wall Street Journal has published a lengthy investigation into the diagnostic testing company Theranos. The company offers more than 240 tests, ranging from cholesterol to cancer. It claims its technology can work with just a finger prick. Investors have poured more than $400 million into Theranos, valuing it at $9 billion and her majority stake at
A little while back I had the pleasure of flying in a small Cessna with a friend and for the first time I got to see what happens in the cockpit with a real pilot. One thing I noticed was that basically you don't lift a finger without going through some sort of check list.
The "This is Statistics" campaign has a nice profile of Shannon Cebron, a data scientist working at the Baltimore-based Pegged Software. What advice would you give to someone thinking of a career in data science? Take some advanced statistics courses if you want to see what it’s like to be a statistician or data scientist.
Episode 2 of my podcast with Hilary Parker, Not So Standard Deviations, is out! In this episode, we talk about user testing for statistical methods, navigating the Hadleyverse, the crucial significance of rename(), and the secret reason for creating the podcast (hint: it rhymes with "bee"). Also, I erroneously claim that Bill Cleveland is way older than
