You walk into your doctor's office with a clear pattern-"Every time I eat this, this happens"-and you're told it doesn't align with the studies. Your experience gets labeled "anecdotal" and dismissed as irrelevant.
But what if your story isn't just valid…what if it's actually data?
Most people are never taught that medical studies describe populations, not individuals. In this episode, I break down why studies are essential for modern medicine-but also why it fails to capture the full reality of your lived experience. If you’ve ever had “normal labs” but an abnormal life, or you’ve been told “that doesn’t make sense,” this episode is going to make everything click.
This isn’t anti-science-this is science completed. And it’s how we end medical gaslighting one person at a time.
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Chapters:
00:00 – Why Studies Don’t Always Account for You
01:12 – What “N” Means in Research
02:30 – Why Large-N Studies Matter
04:08 – The Limits of Population Averages
05:20 – When “Normal” Doesn’t Mean You’re Well
06:40 – How Medical Gaslighting Happens (Without Malice)
08:00 – Introducing N-of-1 (Your Personal Data)
09:15 – Real-World Examples of N=1 Data
10:30 – “Insufficient Evidence” vs. “No Effect”
12:00 – Large N + N=1: Why We Need Both
13:10 – How to Use N=1 in Daily Life
14:30 – Practical Tracking (2–4 Variables Only)
15:40 – How to Run Your Own Mini-Experiment
17:00 – What to Do If Your Experiment “Fails”
17:45 – The Emotional Side: Rebuilding Self-Trust
18:40 – How to Talk to Your Clinician with Your Data
19:45 – When Your Provider Dismisses Your Logs
20:30 – A Note for Clinicians: Integrating N=1
21:20 – Final Takeaway: You Are a Data Source
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