Podcast artwork thumbnail for Data Skeptic

Data Skeptic

Kyle Polich

Booking Overview

This is an interview-led data science and technology show focused on statistics, machine learning, artificial intelligence, and critical evaluation of technical claims, featuring academic researchers and specialist practitioners as external guests. Strong candidates include researchers, responsible-AI specialists, recommender-systems experts, and credible open-source project creators; booking difficulty is medium because guests generally need substantial technical expertise or research contributions.

Metrics

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

Contact Information

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.

Host

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 ...

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Academic researchers, technical specialists, and open-source creators with demonstrated expertise in data science, machine learning, artificial intelligence, recommender systems, responsible AI, or statistics.
Required Achievements:  
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 Guest Discussions

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.

Recent Topics

Technology, Data Science, Machine Learning, Artificial Intelligence, Statistics

Episodes

Here's the recent few episodes on
Data Skeptic
:

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.

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Frequently asked questions

Here's some frequently asked questions for
Data Skeptic
:

How do I get in touch with Data Skeptic?

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.

What is the email for Data Skeptic?

The publicly listed emails for Data Skeptic: support@dataskeptic.com and kyle@dataskeptic.com.

How many listeners does Data Skeptic have?

Podseeker estimates Data Skeptic reaches 10,000 to 100,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Data Skeptic?

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.

How hard is it to get booked on Data Skeptic?

Medium. Guests usually need solid credentials in the topic and an idea that fits the show.

What topics does Data Skeptic cover?

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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