Quantitude – Details, episodes & analysis

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Quantitude

Quantitude

Greg Hancock & Patrick Curran

Science
Science
Education

Frequency: 1 episode/12d. Total Eps: 194

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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.
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Good

Score global : 78%


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S7E07 Is the SAT Biased and Should be Banned? Maybe...

Season 7 · Episode 7

mardi 4 novembre 2025Duration 39:45

In this In The Wild episode, Greg and Patrick turn their Quantitude loose on the ever-present SAT, in particular the premise that it is biased and should be banned. They also talk about what issues would need to be addressed in order to evaluate whether or not that's a reasonable claim. 

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S7E06 Non-Academic Jobs: A Conversation with Jeremy Miles

Season 7 · Episode 6

mardi 21 octobre 2025Duration 46:44

In this week's episode, Patrick and Greg have a lovely conversation with Jeremy Miles, a quantitative methodologist who has worked in both academic and industry settings. Jeremy draws on his own extensive experiences to describe what an industry job is like and how one can prepare to move into this type of position. Along the way they also discuss sub-conning expertise, mystery companies, Americans’ mispronunciations, Quantitude International, avoiding math, statistics vs. biostatistics, fighter pilots with Ph.D.s, Eau Rouge, game rooms, 99% missing data, being correct-ish, harumphs, pay cuts, Kai Ryssdal, and Lewis Hamilton vs. George Russell. 

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S6E18 Count Variables

Season 6 · Episode 18

mardi 1 avril 2025Duration 42:24

In today’s episode Patrick and Greg talk about outcomes that are count variables: when you need to worry about them and what you can do about them within your analytical models. Along the way they also mention: Bela Lugosi, Vlad the Impaler, Patrick the Poker, Count Chocula, Count von Count, drunken bar brawls, secret distributions, K!, bio breaks, second favorite child, Animal Farm, Cliff’s notes, A’s in band, and more equal zeros. 

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S3E06: Item Parcels: What Could Possibly Go Wrong?!

Season 3 · Episode 6

mardi 12 octobre 2021Duration 51:58

In today's episode Patrick & Greg talk about the use of item parcels in latent variable modeling: what they are, what might motivate you to use them, and what unexpected complications can arise. Along the way they also mention wheel extenders, walking toward the light, logorrhea, party bands, corpse sniffing dogs, boxes of human heads, academic dunking, getting uppity, crane kicks, mic drops, and Sonya sweeping the leg. 

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S3E05: Pop Quiz 3: Ethan's Revenge

Season 3 · Episode 5

mardi 5 octobre 2021Duration 51:52

What starts as a friendly check-in with our intern Ethan McCormick in the Netherlands turns into Ethan's Pop Quiz Revenge around the themes of statistical paradoxes and distributions. Along the way, Greg and Patrick also discuss headlamps, airport carousels, prostrate vs. prostate, operatic ambulances, ungulates, how X-mas got its X, Cobra Kai, bromeo, metric time, clang association, paradocies, and William of Orange. 

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S3E04: Two Time Point Data: What Is Your Quest?

Season 3 · Episode 4

mardi 28 septembre 2021Duration 01:00:38

Patrick and Greg talk about the potential advantages and disadvantages of alternative approaches to analyzing two time-point data. They discuss traditional models for raw and residualized change scores, and describe how each of these remains baked into the soul of contemporary models for repeated measures data. 

Along the way they also mention: 24 inch pizza pans, movie fails, being otherwise sophisticated, beer bongs, witches, third grade math, emails from PETA, glorious histories, hairy eyeballs, and who do I see about that. 

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S3E03: Principal Components Analysis is your PAL

Season 3 · Episode 3

mardi 21 septembre 2021Duration 58:03

Greg and Patrick discuss Principal Components Analysis: what it is, what it absolutely isn't, and what kind of cool things it can do in its own right. Along the way, they discuss Twinkle Twinkle Little Star, the division symbol, Spider Pig, croissants & skewers, doing a nickel in the big house, jumping the starter solenoid, Ptolemy the Weenie, two fingers of whiskey, embracing the "but", the sexual lubricant data base, stylometry, bitcoin forensics, and bad Yelp reviews. 

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S3E02: Johnson-Neyman Regions of Significance

Season 3 · Episode 2

mardi 7 septembre 2021Duration 01:02:12

In this episode, Patrick leads Greg and the rest of us through the incredibly cool and powerful topic of regions of significance, a way to help unpack under what moderating conditions treatments and variable relations are statistically significant. Along the way, they also mention: parallelism, Olivia Newton-John, going to the wrong church, laws in Vermont, pick-a-point, nan-aaaah-meters, the whack-a-doodle package of the month, kindergarten math deficiencies, the crossing guard creed, and the rosary landspeed record. 

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S3E01: Leaping to Statistical Conclusion Validity

Season 3 · Episode 1

mardi 31 août 2021Duration 59:07

In the inaugural episode of Season 3, Patrick and Greg argue (more than usual) about statistical conclusion validity: what it is, what affects it, and how it fits in with other types of validity. Along the way they also mention: FrogFest2021, fostering illusions, coughing up a thorax, entrée vs. entry, 50 hours of community service, 8-hour depositions, statistical herpes, and Cheese Cake Factory menus and calorie counts. Oh, and… the sax is back!

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S2E37: A Summer of Love History of Quant, Part 3

Season 2 · Episode 37

mardi 10 août 2021Duration 51:50

In this, the third and final episode of SummerQamp, Greg and Patrick embark on a cross country journey in a VW van in quest of the Summer of Love. Along the way they explore three lines of historical development that ultimately come together to close out the 1960's: multiple regression, path analysis, and confirmatory factor analysis. They just begin to draw trippy insightful concluding comments but the fuzz show up and break up the party. Harsh. 

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