Supplements, nootropics, biohacking and the big myths: the whole truth in 90 minutes
No Bullsh!t, September 3, 2025, 91 min, 1,561 views. The guest is Max Pogorely, a nutrition specialist and author of a YouTube channel on evidence-based nutrition science, with a programme on metabolism and a new track on burnout for entrepreneurs.
| Published | |
|---|---|
| Length | 91 min |
| Views on YouTube | 1,561 |
| Language of the episode | Russian |
| Where to watch and listen | YouTube, Spotify, Telegram |
Date, length and view count according to data from the episode page on YouTube, as of the page update date shown in the footer.
In short
The conversation is built around what the guest argues actually works for energy and productivity on an irregular schedule: his take on genuine nootropics as against stimulants with a withdrawal effect, rules for coffee and tea, and the myths he sees around sea salt, plant milk, greens, turmeric and fruit. A separate block is his criticism of biohacking and youth infusions, the risks of weight-loss drugs taken without changing eating habits, and how to check what a language model tells you about research. The claims in this episode are the guest's own position and are not medical advice.
Key ideas
- The guest argues that genuine nootropics work cumulatively over a couple of weeks and have no withdrawal effect, unlike stimulants.
- Coffee and tea are useful for their polyphenols, but in the guest's account milk binds those polyphenols and lowers the benefit, while plant alternatives keep it.
- Many foods considered healthy have a downside at the wrong dose: in the guest's view an excess of greens loads the liver and turmeric above a teaspoon raises the risk of oxalate stones.
- The guest argues against biohacking as an industry: most protocols, from infusions to expensive creams, rest on test-tube or animal studies without human trials.
- Weight-loss drugs can reduce appetite and weight, but in the guest's view the effect is lost after stopping unless eating habits change alongside.
- When working with scientific data through a language model, set the role explicitly, demand a list of authoritative sources and rule out studies that were never run on humans.
The full transcript
The episode is recorded in Russian, and the full transcript of the conversation is on the Russian page of this episode. English and Spanish subtitles for the strongest episodes are rolling out on YouTube in waves.
Open the transcript