

Data Skeptic
Kyle Polich
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
Episodes
Mentioned books

Oct 5, 2020 • 32min
Retraction Watch
Ivan Oransky joins us to discuss his work documenting the scientific peer-review process at retractionwatch.com.

Sep 21, 2020 • 28min
Crowdsourced Expertise
Derek Lim joins us to discuss the paper Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform.

Sep 14, 2020 • 36min
The Spread of Misinformation Online
Neil Johnson joins us to discuss the paper The online competition between pro- and anti-vaccination views.

Sep 7, 2020 • 23min
Consensus Voting
Mashbat Suzuki joins us to discuss the paper How Many Freemasons Are There? The Consensus Voting Mechanism in Metric Spaces. Check out Mashbat’s and many other great talks at the 13th Symposium on Algorithmic Game Theory (SAGT 2020)

Aug 31, 2020 • 27min
Voting Mechanisms
Steven Heilman joins us to discuss his paper Designing Stable Elections. For a general interest article, see: https://theconversation.com/the-electoral-college-is-surprisingly-vulnerable-to-popular-vote-changes-141104 Steven Heilman receives funding from the National Science Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.

Aug 24, 2020 • 33min
False Consensus
Sami Yousif joins us to discuss the paper The Illusion of Consensus: A Failure to Distinguish Between True and False Consensus. This work empirically explores how individuals evaluate consensus under different experimental conditions reviewing online news articles. More from Sami at samiyousif.org Link to survey mentioned by Daniel Kerrigan: https://forms.gle/TCdGem3WTUYEP31B8

6 snips
Aug 18, 2020 • 38min
Fraud Detection in Real Time
Fraud detection in e-commerce is a complex challenge, and humor lightens the mood as insights unfold. The importance of converting historical data into actionable datasets for machine learning is explored. Real-time data processing is emphasized as crucial for effective fraud detection. Additionally, the episode dives into managing chargebacks in high-risk industries and the need for agile responses to fraud. Through anecdotes and expert tips, listeners gain valuable knowledge on improving their fraud detection strategies.

Aug 11, 2020 • 23min
Listener Survey Review
In this episode, Kyle and Linhda review the results of our recent survey. Hear all about the demographic details and how we interpret these results.

Jul 27, 2020 • 33min
Human Computer Interaction and Online Privacy
Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.

Jul 20, 2020 • 33min
Authorship Attribution of Lennon McCartney Songs
Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.