Data Skeptic, hosted by Kyle Polich, features interviews and discussion on data science, statistics, machine learning and AI, applying critical thinking and the scientific method. The show has 610 episodes, updated roughly every 11 days, with a median length of about 37 minutes. Estimated downloads are 2,000 to 8,000 per episode, with a rate range of $40 to $200 per episode. Recent episodes examine recommender systems in depth.
Reach working data scientists through long-form, research-grounded machine learning interviews
- 610 episodes since 2014 give a deep archive of data science and AI discussion.
- Apple Podcasts shows 481 ratings averaging 4.4 out of 5.
- Recent arcs on recommender systems attract a technically engaged listenership.
Brand fit report
Content
- Formats
- interview, co-hosted discussion, narrative
- Tone
- analytical, educational
- Language
- English
- Production
- Clean, edited audio
- Typical length
- 30 to 55 minutes
Audience
Commercial
- Brands seen
- None yet
- Categories promoted
- None yet
- Affiliate links
- No
No sponsor mentions found in the feed. The funding links are empty and the description names no sponsors.
Suitability GARM Brand Safety Floor + Suitability
Family friendly
Recent titles such as 'Healthy Friction in Job Recommender Systems' and 'Collective Altruism in Recommender Systems' are academic in nature, and the feed carries no explicit flag.
We classify content, never people. No age, gender, ethnicity, religion or political views are inferred about the creator. Audience figures are estimates unless marked verified. Creators can correct anything on their profile.
Where to listen
| Platform | Link |
|---|---|
| Website | dataskeptic.com |
| Apple Podcasts | podcasts.apple.com/podcast/id890348705 |
| RSS feed | dataskeptic.libsyn.com/rss |
Benchmark score: 59 / 100
Public rule, same for everyone. How it works.
Recent episodes
| Episode | Date | Length |
|---|---|---|
| Implicit Interactions | 2026-10-05 | 45 min |
| The Lived Informatics Model | 2026-09-25 | 34 min |
| Recommender Systems Today and Tomorrow | 2026-09-09 | 23 min |
| Recommender Systems Optimization Goals | 2026-09-01 | 31 min |
| Recommender Systems Origin Story | 2026-08-18 | 26 min |
| Social Choice for Fair Recommendations | 2026-07-27 | 43 min |
Last six episodes from the show's feed, latest 14 days ago, a new one about every 11 days.
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.
About Data Skeptic
Data Skeptic is a long-running podcast hosted by Kyle Polich that features interviews and discussion on data science, statistics, machine learning and artificial intelligence. According to the show's website and Apple Podcasts listing, it applies critical thinking and the scientific method to evaluate claims and approaches. The show has released 610 episodes since May 2014, with an update roughly every 11 days, and episodes typically run 30 to 55 minutes.
Apple Podcasts lists 481 ratings with an average of 4.4 out of 5. Based on those signals, listener numbers are estimated at 2,000 to 8,000 downloads per episode, though the show does not publish download figures. The audience is likely to be practitioners and students in data science and machine learning. The feed shows no current sponsors, so the show is a fit for developer tools, cloud platforms and data science education brands.
A host-read mid-roll is estimated at $40 to $200 per episode, based on the estimated download range at $18 to $25 per 1,000 downloads. That buys a single mention to a technically engaged audience.
Written from the show's public RSS feed, its Podcast Index listing and episode titles. Numbers updated 2026-10-19. Data Skeptic can edit or remove this page at any time.
Questions about Data Skeptic
How much does Data Skeptic charge for a podcast sponsorship?
Based on an estimated 2,000 to 8,000 downloads per episode, a host-read mid-roll is estimated at $40 to $200. The exact rate depends on the terms agreed with the show.
What is Data Skeptic about?
Data Skeptic is a podcast hosted by Kyle Polich that covers data science, statistics, machine learning and AI, with interviews and discussion applying critical thinking to technical claims.
How do I contact Data Skeptic about sponsoring an episode?
The show's contact email unlocks on Starbooked for $0.80. Boosted shows can also be booked through Starbooked.
Similar creators
Podcast and other creators in data science, ranked by score.
| Creator | Niches | Est. downloads | Median views | Rate | Score |
|---|---|---|---|---|---|
| data sciencemachine learning | 50k | – | $360–2000 | 86 | |
Linear Digressionspodcast | machine learningdata science | 5k | – | $40–200 | 85 |
| machine learningartificial intelligence | 15k | – | $90–620 | 79 | |
More or Lesspodcast · GB | statisticsfact-checking | 65k | – | $900–2000 | 96 |
Talk Python To Mepodcast | python developmentdata science | 15k | – | $90–620 | 87 |
DataFramedpodcast | data scienceartificial intelligence | 5k | – | $40–200 | 85 |