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Technology

Data Skeptic

by Kyle Polich
TechnologyScienceMathematics

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Ranking history · United States

Latest daily rankings: Oct 27. New rankings will appear after the next update.

Recent history only — this show has no current ranking on the Technology chart. These are recorded positions from the last 14 days, not current rankings.

Position on the Technology combined chart over the last 14 days. Toggle platforms to compare their positions. Lower rank numbers are better.

Episode releases
#152#157#162#167#172Chart rankOct 19Oct 21Oct 23Oct 25Oct 27Episode released Oct 18: Gestures Around the Ear
View as table
DateCombined RankApple Podcasts
Oct 27——
Oct 22—#200
Oct 18#162#154

Latest episodes

  • Gestures Around the Ear

    October 18, 2026 · 30 min

    The next evolution of wearable technology may not require new screens or controllers, but new ways to interact with the devices we already wear. Shimon explores how gesture-sensing earbuds could transform virtual reality and wearable…

  • Implicit Interactions

    October 5, 2026 · 45 min

    How do we design robots and autonomous vehicles that understand the unwritten rules of human behavior? Kyle speaks with Cornell Tech professor Wendy Ju about implicit interaction, "Wizard of Oz" prototyping, and what studying pedestrians…

  • The Lived Informatics Model

    September 25, 2026 · 34 min

    The data we collect about ourselves can tell us a lot—but only if the technology collecting it actually fits into our lives. Daniel Epstein explores personal informatics, from fitness trackers and food journals to baby tracking and AI, and…

  • Recommender Systems Today and Tomorrow

    September 9, 2026 · 23 min

    In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and…

  • Recommender Systems Optimization Goals

    September 1, 2026 · 31 min

    In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores…

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  • Recommender Systems Origin Story

    August 18, 2026 · 26 min

    Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to…

  • Social Choice for Fair Recommendations

    July 27, 2026 · 43 min

    Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely…

  • News Recommendations

    July 2, 2026 · 46 min

    News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news…

  • Give Users the Wheel

    June 23, 2026 · 35 min

    What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional…

  • AutoLike

    June 17, 2026 · 35 min

    How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok…

  • Student Spotlight: Aaron Payne, Data Analyst

    May 1, 2026 · 26 min

    Aaron Payne, an MBA student at Georgia Tech studying business analytics and a Senior Insights Analyst at Chick-fil-A, joins Kyle Polich to talk about turning analytics into decisions that matter. They unpack a real-world forecasting…

  • The Future is Agentic in Recommender Systems

    April 25, 2026 · 49 min

    Kyle Polich sits down with Yashar Deldjoo, research scientist and Associate Professor at the Polytechnic University of Bari, to explore how recommender systems have evolved and why trustworthiness matters. They unpack key dimensions of…

Full episode archive on Apple Podcasts →

About the show

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.