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If you like this blog, you will love my new podcast...

My friends. I started a podcast.  I've created the Not Awful Data podcast with the help of Garth Neufeld and Eric Landrum at the Psych Sessions podcast empire.  Why? I try to keep my blog posts brief and to the point, but I also love to discuss exactly how I use my favorite data sets in the classroom. This podcast will let me discuss and highlight some of the data sets I've shared on my blog and provide more information on exactly how you could use them in class. Anyway. Every podcast if five minutes long. I plan on posting a new episode once a week. My hope is that this will re-introduce you to some of my older resources and provide you with some out-of-the-box resources you can use in your own teaching. Here is a link to my first episode , which recaps the horror movie/heartbeat data I shared on the blog recently. The podcast is also available on Spotify .

"You're wrong about" podcast and data about human trafficing

"The answer is always more spreadsheets." -Michael Hobbes The good news: 1) This isn't a COVID example. 2) This is one of those examples that gets your students to think more abstractly about some of the tougher, fundamental questions in statistics. Precisely: How do we count things in the very, very messy real world? What are the ramifications of miscounting messy things? 3) The example comes in the form of the very engaging podcast You're Wrong About , hosted by Michael Hobbes and Sarah Marshall. @yourewrongabout The bad news: The example is about human trafficking, so not nearly as fluffy as my hotdog or seagull posts. That said, this episode of the You're Wrong About podcast, or even just the first 10 minutes of the episode, reveals how hard it can be to count and operationalize a variable that seems pretty clear cut: The number of children who are trafficked in America every year.  The You're Wrong About podcast takes misunderstood, widely reported event...

Freakanomics Radio's "America's Math Curriculum Doesn't Add Up"

"I believe that we owe it to our children to prepare them for a world they will encounter, a world driven by data. Basic data fluency is a requirement, not just for most good jobs, but for navigating life more generally." -Steven Levitt Preach it, Steve. This edition of the Freakonomics podcast featured guest host Steven Levitt. He dedicated his episode to providing evidence for an overhaul of America's K-12 math curriculum. He argues that our kids need more information on data fluency. I'm not one to swoon over a podcast dedicated to math curriculums, but this one is about the history of how we teach math, the realities of the pressures our teachers face, and solutions. It is fascinating. You need to sit and listen to the whole thing, but here are some highlights: Our math curriculum was designed to help America fight the Space Race (yes, the one back in the 1960s). For a world without calculators. And not much has changed. Quick idea for teaching regr...

Diane Fine Maron's "Tweets identify food poisoning outbreaks"

This Scientific American podcast by Diane Fine Maron describes how the Chicago Department of Public Health (CDPH) used Twitter data to shut down restaurants with health code violations. Essentially, the CDPH monitored Tweets in Chicago, searching for the words "food poisoning". When such a tweet was identified, an official at CDPH messaged the Twitterer in question with a link to an official complain form website. The results of this program? "During a 10-month stretch last year, staff members at the health agency responded to 270 tweets about “food poisoning.” Based on those tweets, 193 complaints were filed and 133 restaurants in the city were inspected. Twenty-one were closed down and another 33 were forced to fix health violations. That’s according to a study in the journal  Morbidity and Mortality Weekly Report.  [Jenine K. Harris et al,  Health Department Use of Social Media to Identify Foodborne Illness — Chicago, Illinois, 2013–2014 ]" I think this is ...