Across cultures and throughout recorded history, approximately two-thirds of people report dreams of falling or flying — a pattern consistent even before the invention of aircraft.
Snapshot · The Mel Robbins Podcast
Across cultures and throughout recorded history, approximately two-thirds of people report dreams of falling or flying — a pattern consistent even before the invention of aircraft.
Where this was said
At 41:32 · chapter starts 36:40
The mid-episode ad block runs through four sponsors. The Genesis GV70 is pitched on its 300-horsepower performance and blind-spot camera safety. Southern New Hampshire University positions its flexible online degree programs as for people who don't feel ready but should start anyway. Expedia highlights the convenience of bundling all travel needs in one app with up to 30% savings. TikTok closes the block by leaning into the show's audience of curious learners, positioning itself as a pocket-sized science museum where wonder and curiosity thrive.
Falling, flying, teeth falling out, erotic dreams — these appear consistently in dream records spanning thousands of years and dozens of cultures, long before the experiences existed in waking life. That consistency proves dreams aren't random; they are built into the brain.
Thousands of years of dream reports show people almost never do math in dreams. This maps precisely to the dorsolateral prefrontal cortex — the brain region for calculation — being dampened during sleep. One data point that perfectly links neuroscience to lived experience.
Animals first sensed light 540 million years ago, triggering an evolutionary acceleration known as the Cambrian explosion within 10 million years.
It is estimated that half of all cortical activity in the human brain is involved in visual function, underscoring vision's central role in intelligence.
Cognitive neuroscience literature shows that by age 6, humans can recognize tens of thousands of different object categories — far more data than early AI systems were trained on.
Only about 3% of FDA-approved drugs have genuinely unclear mechanisms of action, making an unknown mechanism a meaningful early red flag for any compound.
Even compounds that clear preclinical testing often fail in humans: 30 to 50% of drugs entering phase 1 trials do not advance to phase 2, frequently because human behavior differs from animal models.
More than 80% of published BPC-157 research comes from a single academic group whose researchers have IP and commercial interests connected to the molecule, limiting independent replication.
Roughly 100 peptide drugs are already FDA-approved, about 150 more are in clinical trials, and 600–700 are in preclinical development, underscoring the legitimacy of peptide science broadly.
The scientist who discovered BPC-157 refused to disclose the screening method used to identify the compound and has never fully published the parent protein sequence — what Peter Attia calls 'scientific trust me, bro.'
The brain's visual, auditory, and motor cortices light up nearly identically whether an experience is real or imagined, making visualization a form of actual neural training.
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