Not So Standard Deviations

Hilary and Roger are apart again and this time they’re talking about political polling. Also, they discuss Trump’s tweets, and the fact that Hilary owns a bowling ball. Show notes: FiveThirtyEight election dashboard: http://projects.fivethirtyeight.com/2016-election-forecast/ The Upshot’s election dashboard: http://www.nytimes.com/interactive/2016/upshot/presidential-polls-forecast.html David Robinson’s post on Trump’s tweets: http://varianceexplained.org/r/trump-tweets/ Julia Silge’s Twitter account: https://twitter.com/juliasilge The Katering Show: http://thekateringshow.com Omni: https://www.beomni.com

Hilary and Roger are in Chicago (together!) for the annual Joint Statistical Meetings, the largest gathering of statisticians in the world. They discuss the session that Hilary organized, byzantine ASA bureaucracy, data scientists interacting with the media, and other highlights from the meeting. Also, a surprise guest drops in! Show notes Joint Statistical Meetings (https://www.amstat.org/meetings/jsm/2016/) The rOpenSci Project (https://ropensci.org) Moveable Type by Ben Rubin and Mark Hansen: Video (https://vimeo.com/1850342) Article (http://www.nytimes.com/2007/10/25/arts/design/25vide.html)

Hilary and Roger talk about statistical software in fMRI analyses, the differences between software testing differences in proportions (a must listen!), and a preview of JSM 2016. Show Notes: fMRI bugs could upend years of research: http://www.theregister.co.uk/2016/07/03/mri_software_bugs_could_upend_years_of_research/?mt=1467760452040 Eklund et al. PNAS Paper: http://www.pnas.org/content/113/28/7900.full JSM 2016 Program: https://www.amstat.org/meetings/jsm/2016/onlineprogram/index.cfm Conversations on Data Science: https://leanpub.com/conversationsondatascience

With Hilary fresh from Use R! 2016, Roger and Hilary discuss some of the highlights from the conference. Also, some followup about a previous Free Advertising and the NSSD drinking game. Show Notes: Theranos movie with Jennifer Lawrence and Adam McKay: http://www.vanityfair.com/hollywood/2016/06/jennifer-lawrence-theranos-elizabeth-holmes Snowden movie: https://en.wikipedia.org/wiki/Snowden_(film) What3Words being used in Mongolia: http://www.npr.org/2016/06/19/482514949/welcome-to-mongolias-new-postal-system-an-atlas-of-random-words lintr package: https://github.com/jimhester/lintr “The Electronic Coach” with Don Knuth: https://youtu.be/dhh8Ao4yweQ Exploring the data on gender and GitHub repo ownership: http://alyssafrazee.com/gender-and-github-code.html Jeff Atwood “Falling Into the Pit of Success”: https://blog.codinghorror.com/falling-into-the-pit-of-success/ Google coLaboratory: https://research.googleblog.com/2014/08/doing-data-science-with-colaboratory.html #rcatladies stickers: https://www.stickermule.com/marketplace/12936-number-rcatladies Katie Mack time-lapse video: https://twitter.com/astrokatie/status/745529809669787649

Hilary and Roger talk about Amazon Echo and Alexa as AI as a service, the COMPAS algorithm, criminal justice forecasts, and whether algorithms can introduce or remove bias (or both). Show Notes: In Two Moves, AlphaGo and Lee Sedol Redefined the Future (http://www.wired.com/2016/03/two-moves-alphago-lee-sedol-redefined-future/) Google’s AI won the game Go by defying millennia of basic human instinct (http://qz.com/639952/googles-ai-won-the-game-go-by-defying-millennia-of-basic-human-instinct/) Machine Bias: There’s Software Used Across the Country to Predict Future Criminals. And it’s Biased Against Blacks (https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing) ProPublica analysis of COMPAS (https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm) Richard Berk’s Criminal Justice Forecasts of Risk (http://www.amazon.com/Criminal-Justice-Forecasts-Risk-SpringerBriefs/dp/1461430844?ie=UTF8&*Version*=1&*entries*=0) Cathy O’Neill: Weapons of Math Destruction (http://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815) Cathy O’Neill: I’ll stop calling algorithms racist when you stop anthropomorphizing AI https://mathbabe.org/2016/04/07/ill-stop-calling-algorithms-racist-when-you-stop-anthropomorphizing-ai/ RMS Fact package: https://cran.r-project.org/web/packages/rmsfact/index.html Use R! 2016: http://user2016.org

Roger and Hilary are back, with Hilary broadcasting from the west coast. Hilary and Roger discuss the possibility of scaling data analysis and how that may or may not work for companies like Palantir. Also, the latest on Theranos and the release of data from OkCupid. Show notes: BuzzFeed Article on Palantir: https://www.buzzfeed.com/williamalden/inside-palantir-silicon-valleys-most-secretive-company Roger’s Simply Statistics post on Palantir: http://simplystatistics.org/2016/05/11/palantir-struggles/ Looker: https://looker.com Data science done well looks easy: http://simplystatistics.org/2015/03/17/data-science-done-well-looks-easy-and-that-is-a-big-problem-for-data-scientists/ Latest on Theranos: http://www.wsj.com/articles/theranos-voids-two-years-of-edison-blood-test-results-1463616976 OkCupid Data Release: http://www.vox.com/2016/5/12/11666116/70000-okcupid-users-data-release Secret history of Silicon Valley: http://fr.slideshare.net/sblank/secret-history-why-stanford-and-not-berkeley Wealthfront blog: https://blog.wealthfront.com

This is Hilary’s and Roger’s last New York-Baltimore episode! In future episodes, Hilary will be broadcasting from California. In this episode Hilary and Roger discuss collaboration tools and workflow management for data science projects. To date, Roger has not found a project management tool that he can actually use (besides email), but is open to suggestions (from students). Links: Hilary’s tweet on cats: https://twitter.com/hspter/status/725411087110299649 Awesome vs. cats mug: https://www.etsy.com/listing/185113916/cat-mug-awesome-funny-mug-coffee-cup-tea John Urschel’s web page: http://math.mit.edu/~urschel/ Profile of John Urschel by the AMS: http://www.ams.org/publications/journals/notices/201602/rnoti-p148.pdf The other NFL player/mathematician: https://en.wikipedia.org/wiki/Frank_Ryan_(American_football) GitHub flow: https://guides.github.com/introduction/flow/ Problems with Slack: https://www.theinformation.com/articles/why-slack-needs-a-product-fix Relativity and GPS: http://www.astronomy.ohio-state.edu/~pogge/Ast162/Unit5/gps.html The Information is looking for a Data Storyteller: https://www.theinformation.com/become-a-data-storytelling-superstar-at-the-information Stitch Fix is looking for Data Scientists: https://www.stitchfix.com/careers?gh_jid=169746?gh_jid=169746

Hilary and Roger meet up face-to-face for the first time since the podcast started! This a short episode to document the unboxing of the official Not So Standard Deviations hex stickers that are available to our Patreon patrons who have signed up at the $2 per episode sticker level. Our Patreon Page (https://www.patreon.com/NSSDeviations) NSSD Stickers (https://goo.gl/A3xLhM)

Hilary and Roger talk about the difficulties of separating data analysis from its context, and Feather, a new file format for storing tabular data. Also, Hilary and Roger respond to some listener questions and Hilary announces her new job. If you have questions you’d like us to answer, you can send them to [email protected] or tweet us at @NSSDeviations. Show notes: NSSD Patreon page (https://www.patreon.com/NSSDeviations) Feather git repository (https://github.com/wesm/feather/) Apache Arrow (https://arrow.apache.org) FlatBuffers (https://google.github.io/flatbuffers/) Roger’s blog post on feather (http://simplystatistics.org/2016/03/31/feather/) NausicaaDistribution (https://www.etsy.com/shop/NausicaaDistribution) New York R Conference (http://www.rstats.nyc) Every Frame a Painting (https://goo.gl/J2QAWK)

In this episode, Hilary and Roger discuss the new direction for the journal Biostatistics, the recent fracas over ggplot2 and base graphics in R, and whether collecting more data is always better than collecting less (fewer?) data. Also, Hilary and Roger respond to some listener questions and more free advertising. If you have questions you’d like us to answer, you can send them to [email protected] or tweet us at @NSSDeviations. Show notes: Jeff Leek on why he doesn’t use ggplot2 (http://goo.gl/am6I3r) David Robinson on why he uses ggplot2 (http://goo.gl/UpqO3c) Nathan Yau’s post comparing ggplot2 and base graphics (http://goo.gl/6iEB2I) Biostatistics Medium post (https://goo.gl/YuhFgB) Photoviz (http://goo.gl/tXNdCA) PigeonAir (https://twitter.com/PigeonAir) I just want to plot() (https://goo.gl/jqlg0G) Hilary and Rush Limbaugh (https://goo.gl/vvCfkl) Deep learning training set (http://imgur.com/a/K4RWn) NSSD Patreon page! (https://goo.gl/TbihVq)