Podcast • Science • Methods • Incentives

Metascience Matters

Conversations at the intersection of science, statistics, incentives, and reform. Deep dives into how evidence is made — and how we can do better.

New Episode 01

Why Metascience Matters

On replication, incentives, and the future of evidence.

Trailer • 3:21

About the podcast

Metascience Matters explores how science actually works: incentives, methodology, replication, publication bias, and everything in between. Each episode blends expert interviews with clear explanations that cut through the noise.

What you’ll hear

  • Deep dives into scientific methods and statistical thinking.
  • Interviews with researchers, reformers, and skeptics.
  • Case studies of “broken” evidence and how to fix it.
  • Practical ideas for making science more reliable.

Who it’s for

Researchers, clinicians, data scientists, policy makers, and anyone who cares about what we think we know — and how we know it.

Whether you’re inside academia or just metascience-curious, you’ll find episodes you can follow without needing a PhD.

Your host

ME

[Your Name]

[Short bio: e.g., “Computational neuroscientist and metascience nerd, obsessed with evidence quality, causal inference, and the hidden rules shaping modern research.”]

Episodes

Start with a featured episode or browse the catalog. Replace the placeholder content below with your real episodes and audio links.

Ep 01

Why Metascience Matters

Trailer • 3:21 • Featured

An introduction to the show. What is metascience, why does it matter, and how does it connect to your daily life as a scientist or citizen?

Ep 02

P-values vs Prediction

42:05 • Methods

Why statistical significance and predictive performance are not the same thing — and what this means for biomarkers, models, and medicine.

Ep 03

Registered Reports & Incentives

58:47 • Policy • Featured

A conversation about registered reports, incentives in academia, and how changing the publication model could reshape the evidence ecosystem.

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Contact

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