Episodes: 611
Frequency: Irregular
Rating: 4.5/5.0
Estimated listeners: 10,000 - 100,000
Gender skew: Male
Listener location: USA
YouTube: 8.1k subscribers
Instagram: 256 followers
Publicly listed emails
support@dataskeptic.com
kyle@dataskeptic.com
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Kyle Polich - Kyle Polich is a data scientist and the host of Data Skeptic, where he examines data science, statistics, machine learning, and artificial intelligence through critical thinking and the scientific ...
Robin Burke - Fair Recommendations, Recommender-system History, Accuracy Limitations, Social Choice Theory, And Balancing The Needs Of Users, Creators, And Society.
Andreea Iana - Responsible AI, Filter Bubbles, Multilingual News Recommendation, Newsreclib, Model Evaluation, Personalization, Diversity, And Societal Impact.
Gestures Around the Ear
October 18, 2026
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 computing through intuitive, user-centered interactions that make technology more accessible and adaptable.
Implicit Interactions
October 05, 2026
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, self-driving cars, and even robotic furniture can teach us about designing technology that behaves the way people expect.
The Lived Informatics Model
September 25, 2026
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 explains why abandoning a tracking tool doesn't necessarily mean it failed.
Super Data Science: ML & AI Podcast with Jon Krohn · High booking difficulty · 1,000 - 10,000 listeners
Dwarkesh Podcast · Very high booking difficulty · 10,000 - 100,000 listeners
Google DeepMind: The Podcast · Very high booking difficulty · 10,000 - 100,000 listeners
Practical AI · Medium booking difficulty · 1,000 - 10,000 listeners
Vanishing Gradients · Medium booking difficulty · 100 - 1,000 listeners
Data Skeptic is hosted by Kyle Polich. Its publicly listed emails are support@dataskeptic.com and kyle@dataskeptic.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
The publicly listed emails for Data Skeptic: support@dataskeptic.com and kyle@dataskeptic.com.
Podseeker estimates Data Skeptic reaches 10,000 to 100,000 listeners per episode. Only the publisher has exact numbers.
Data Skeptic typically books rising experts. Typical guest background: Academic researchers, technical specialists, and open-source creators with demonstrated expertise in data science, machine learning, artificial intelligence, recommender systems, responsible AI, or statistics. Common among recent guests: Peer-reviewed research or substantial technical work; Creation or leadership of an open-source framework or research project; Recognized expertise in responsible AI, machine learning, statistics, or recommender systems. Recent guests include Robin Burke and Andreea Iana.
Medium. Guests usually need solid credentials in the topic and an idea that fits the show.
Recent episodes cover Technology, Data Science, Machine Learning, Artificial Intelligence, and Statistics. Pitch an idea tied to one of these topics and mention a recent episode.
Publicly listed emails
support@dataskeptic.com
kyle@dataskeptic.com
Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.
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