104 episodes

A podcast dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Co-hosts Patrick Curran and Greg Hancock talk about serious statistical topics, but without taking themselves too seriously. Think: CarTalk hi-jacked by the two grumpy old guys from the Muppets, grousing about quantitative methods, statistics, and data analysis, all presented to you with the production value of a 6th grade school project. But in a good way.

Quantitude Greg Hancock & Patrick Curran

    • Science
    • 5.0 • 156 Ratings

A podcast dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Co-hosts Patrick Curran and Greg Hancock talk about serious statistical topics, but without taking themselves too seriously. Think: CarTalk hi-jacked by the two grumpy old guys from the Muppets, grousing about quantitative methods, statistics, and data analysis, all presented to you with the production value of a 6th grade school project. But in a good way.

    S4E03 Two-Stage Least Squares Strikes Back

    S4E03 Two-Stage Least Squares Strikes Back

    In this week's episode Patrick and Greg explore the often neglected method of two-stage least squares; they take a walk down memory lane to explore its origins and then drag it kicking and screaming into the 21st century for much promising use within the latent variable model. Along the way they also mention magic dishwashers, being under-estimated, blind pigs & truffles, Sadie Hawkins, intellectual spinning hook kicks, Fisher's eight-pack abs, the fine print, Winston Churchill vs. Chewbacca, Guinea pigs, Mrs. Lincoln, butter snacks, and snipe hunts.

    • 57 min
    S4E02 Underachievers, Overachievers, & Maximum Likelihood Estimation

    S4E02 Underachievers, Overachievers, & Maximum Likelihood Estimation

    This week Patrick and Greg talk about maximum likelihood estimation: what it is, where it comes from, how it works, what it can do, and what it can't do. Along they way they also mention tour-bombing your kid, licking the turtle, Van Halen and AC/DC, orange mustaches, brandy snifter pong, bus #27, Ronnie Fisher, why people hate us, circus tents, night parachuting, flat spots, lazy parabolas, vanilla ice cream, and statistical bouncers. 

    • 55 min
    S4E01 Ordinary Least Squares: Back Where It All Began

    S4E01 Ordinary Least Squares: Back Where It All Began

    In the opening episode to Season 4, Greg and Patrick delve into ordinary least squares estimation: where it came from, what it attempts to achieve, and where it can take us from here. Along the way they also discuss Golden Retrievers who are neither golden nor retrieve, Olivia Newton-John, sub-conning out their own work,  the meat sweats, sh*t you should know, being intolerably self-righteous, losing your camel, saying ham in French, Calvinball, Frank finding Gauss's corpse, crudely describing regression, and Sexy Hulk. 

    • 51 min
    S3E28: The Challenges & Joys of Academia

    S3E28: The Challenges & Joys of Academia

    In this, their 100th episode and Season 3 finale, Greg and Patrick talk about the challenges and joys of a career in academia. Helping to ensure that we don’t let the bastards grind us down are the voices of three insightful assistant professors and three wonderful graduate students. Along the way, we also mention lining up the napkin, hug free zones, margarita night in 2003, relying on the kindness of strangers, Strunk & White voodoo, a mile-high C, Mr. October, going beyond the veil, the Black Plague, messages in bottles, the gates of the citadel, turning the container ship, work-work balance, being the bad guy, the focus groups in my head, 50cc of sodium phenobarbital, that’ll do pig, front wheel drive/rear wheel drive, and attaboys.  

    • 1 hr 3 min
    S3E27: Propensity Scores -- I Meant To Do That!

    S3E27: Propensity Scores -- I Meant To Do That!

    In this week's episode Patrick and Greg get to hang out with Noah Greifer from the Institute for Quantitative Social Sciences at Harvard University to delve into the fascinating world of propensity scores: what they are, how we obtain them, and how they can be thoughtfully used to strengthen our causal inferences. Along the way we also mention Popular Woodworking, fixing things on the back end, hiding your own Easter eggs, 18 hour warnings, easy undergrad majors, Meyers-Briggs career predictions, picking an ideal advisor, SASholes, demyelination, hearing asterisks, being an ANCOVist, the 11th Commandment, what keeps you up at night, answering the question you want to, and it's all BS. 

    • 57 min
    S3E26: The 411 on Information Theory

    S3E26: The 411 on Information Theory

    In this week's episode, Greg and Patrick talk about information theory: what it is, where it comes from, how it works, and how it can be used to make comparative model inferences. Along the way we also mention Pennsylvania 6-5000, the time lady, the Nobel Prize for Awesomeness, juggling and unicycles, enigma, imaginary friends, lemon juice code, red giants and white dwarves, bits, a level-11 paladin, Hungarian Forrest Gump, snake eyes and boxcar Willies, the Reaper Divergence Criterion, and getting inspirations on a train. 

    • 1 hr 3 min

Customer Reviews

5.0 out of 5
156 Ratings

156 Ratings

@kyle__grealis ,

Don’t listen…

Unless you’re looking for a hilarious approach to understanding and appreciating statistics. Greg & Patrick have me binge-listening to catch up while I’m at my work desk, in my car, or wherever. A wealth of insight and plenty of everyday- and nerd-funny moments. Keep it up!!! Love it :)

Knickolaz ,

Even my kids love this show…

… and they don’t know or care about statistics. But apparently they know and care about first-class banter. Who would have thought that a podcast about statistics would leave members of my whole family entertained and/or enlightened?

Der Fritzer ,

Applause from the “hard science” peanut gallery

The lovely thing about listening to this podcast as someone outside of the field (theoretical physics) is that I understand the jokes more with each listen! I came for the banter and stayed because of the hosts’ ability to explain things at a range of levels. Awesome podcast!

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