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Why We Get Old & How We Can Stop It - Dr Andrew Steele | Modern Wisdom Podcast 265

Andrew Steele is a scientist, writer and presenter. Ageing is a phenomenon we're all familiar with and is completely taken for granted as a fact of reality, but do we have to accept Expect to learn why curing ageing might be easier than curing cancer and all other diseases, the unfortunate truth of fasting for longevity, why the next decade will be the most exciting for lifespan research and much more... Sponsors: Get 35% discount on everything I use from The Protein Works at https://www.theproteinworks.com/modernwisdom/ (use code MODERN35) Get 20% discount on Reebok’s entire range including the amazing Nano X at https://geni.us/modernwisdom (use code MW20) Extra Stuff: Buy Ageless - https://amzn.to/38Ya1aF Follow Andrew on Twitter - https://twitter.com/statto Get my free Ultimate Life Hacks List to 10x your daily productivity → https://chriswillx.com/lifehacks/ To support me on Patreon (thank you): https://www.patreon.com/modernwisdom #ageing #longevity #biohacking - Listen to all episodes online. Search "Modern Wisdom" on any Podcast App or click here: iTunes: https://apple.co/2MNqIgw Spotify: https://spoti.fi/2LSimPn Stitcher: https://www.stitcher.com/podcast/modern-wisdom - Get in touch in the comments below or head to... Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx Email: modernwisdompodcast@gmail.com

Dr Andrew SteeleguestChris Williamsonhost
Jan 4, 20211h 17mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 3:20

    Defining aging: mortality risk, doubling time, and cellular hallmarks

    Andrew Steele frames aging in two complementary ways: a statistical rise in mortality risk over time, and a biological set of measurable cellular changes. He introduces the “mortality rate doubling time” and the 2013 “Hallmarks of Aging” framework as ways to quantify and study the process.

    • Aging as a statistical phenomenon: death risk increases with time alive
    • Human mortality risk roughly doubles about every eight years (mortality rate doubling time)
    • Some animals show negligible senescence (risk of death doesn’t increase with age)
    • Aging as a biological phenomenon: molecular/cellular changes that accumulate
    • Hallmarks of Aging as a practical checklist for interventions
  2. 3:20 – 4:12

    The cultural blind spot: why “curing aging” sounds controversial

    Chris asks why it’s rare to hear “cure” and “aging” together. Steele argues the language matters because it normalizes treating aging as a solvable medical target, even if the exact classification (disease vs. natural process) is debated.

    • Why the term “cure” provokes pushback among scientists
    • Aging drives frailty, cognitive decline, and disease—so it’s worth targeting
    • Reframing medicine toward root causes rather than accepting decline as inevitable
    • Distinguishing a near-term cure claim from a long-term research agenda
  3. 4:12 – 7:00

    Why targeting aging could beat fighting cancer, heart disease, and dementia separately

    Steele argues that many major killers share common upstream biology. Rather than playing whack-a-mole with thousands of disease categories, the more tractable strategy may be to address the underlying aging processes that elevate risk across the board.

    • Age-related diseases rise exponentially with age for shared biological reasons
    • Medicine often treats downstream symptoms instead of upstream mechanisms
    • Even “curing” one disease leaves an aged body vulnerable to others
    • The International Classification of Diseases contains thousands of failure modes—many age-linked
    • Aging as a unifying risk factor and intervention target
  4. 7:00 – 7:49

    Life expectancy then vs. now: the infant mortality trap in historical averages

    They unpack how surprisingly low historical life expectancy figures are heavily skewed by infant and child mortality. Surviving early life dramatically changed expected lifespan even in pre-modern contexts.

    • Average life expectancy ~35 in deep prehistory; ~40 in the UK ~200 years ago (as averages)
    • Infant mortality heavily drags down mean life expectancy estimates
    • Survival to adulthood historically was closer to a coin flip in some eras
    • Modern childhood survival transforms population-level longevity statistics
  5. 7:49 – 14:50

    Evolution’s answer: death vs. aging, and the energy trade-off behind senescence

    Steele separates the question of why organisms die from why they age, arguing aging is largely an evolutionary byproduct. Natural selection prioritizes reproductive success, and long-term maintenance competes with reproduction and other fitness investments.

    • Distinction: adaptive reasons for death vs. aging as an ‘accident’ of evolution
    • Immortality complicates adaptation across changing environments (thought experiments)
    • Aging reflects an energy allocation trade-off: repair/maintenance vs. reproduction
    • ‘Survival of the fittest’ is more accurately ‘reproduction of the fittest’
    • Long-lived bodies require costly anti-cancer and repair systems
  6. 14:50 – 16:54

    Why technology matters: existential risk, progress, and limits of biological evolution

    The conversation widens to civilization-scale survival: some threats can’t be ‘evolved away’ and require technology. This becomes an analogy for why deliberate intervention—rather than passive acceptance—may be necessary for longevity progress.

    • Nonzero probability of natural extinction events over long timelines
    • Technological progress as a necessity, not a luxury, for long-term survival
    • Evolution can’t solve problems on timescales or in environments that change too fast
    • Longevity research framed as another domain where purposeful innovation matters
  7. 16:54 – 19:36

    What aging looks like inside the body: hallmarks and cell turnover realities

    Steele describes aging as multiple interacting breakdowns rather than one single cause. They discuss how different tissues replace cells at wildly different rates, and why some long-lived cells (like neurons) pose special challenges for rejuvenation.

    • Aging as many systems falling out of balance: DNA damage, signaling changes, cell population shifts
    • Hallmarks show why ‘single-cause’ theories are too simplistic
    • Cell turnover varies: gut lining days, blood months, bone years
    • Some neurons and heart cells persist for life—no full turnover
    • Protected environments (blood-brain barrier) help explain low-turnover tissues
  8. 19:36 – 22:54

    Nature’s extremes: Greenland sharks, secret ancient trees, hydra, and tardigrades

    They explore organisms with exceptional lifespans or resilience to understand what biology can allow. Examples range from centuries-old sharks to millennia-old trees, plus hydra regeneration and tardigrade survival strategies.

    • Greenland sharks estimated to reach ~400 years
    • Bristlecone pine trees can be ~4,800+ years old (protected locations)
    • Hydra regeneration and extremely low apparent aging rates (extrapolated longevity)
    • Tardigrades’ extreme stress resistance via desiccation-like states
    • Why ‘simple’ organisms can outperform intuitive expectations about lifespan
  9. 22:54 – 29:05

    Dietary restriction & fasting: the strongest longevity effect in biology—except maybe in humans

    Steele reviews classic calorie/dietary restriction research from rats onward, highlighting robust lifespan extension in many organisms. He then explains why human evidence is mixed, and why experimental design (especially in mice) complicates conclusions.

    • Clive McKay’s 1930s rat work: major lifespan/healthspan extension under strong restriction
    • Effect replicated across many species; human magnitude remains uncertain
    • Monkeys: health benefits clearer than lifespan extension
    • Intermittent fasting vs. dietary restriction are different—and often confounded in animal labs
    • Mouse feeding schedules can inadvertently impose fasting due to researcher day/night mismatch
  10. 29:05 – 35:41

    Treating aging via mechanisms: senescent cells, senolytics, and the replacement problem

    Steele explains senescent cells and why clearing them can improve healthspan (and sometimes lifespan) in mice. They also discuss limits: some tissues can replenish lost cells easily, while others may require stem cell therapies or more nuanced ‘repair’ approaches.

    • Hayflick limit and discovery of cellular senescence
    • 2011+ mouse studies: genetic ‘suicide switch’ for senescent cells improves health and later shows lifespan gains
    • Senolytics: drugs that kill senescent cells can make older mice behave more ‘youthfully’
    • Clearing old cells isn’t always safe (e.g., neurons); tissue turnover matters
    • Stem cell exhaustion and the likely need for cell replacement therapies
  11. 35:41 – 44:27

    Gene therapy, AI biology, and what a real ‘cure for aging’ might require

    Steele outlines why single-pill solutions are unlikely and why future treatments may combine multiple modalities (gene therapy, cell therapy, reprogramming). He points to computational biology and AI breakthroughs (like protein folding) as accelerators toward complex whole-body models and faster discovery.

    • Gene therapy promise and the challenge of delivery across the whole body
    • Sickle cell gene therapy as a concrete example of cell extraction, modification, and reinfusion
    • Epigenetic reprogramming as a potentially deeper ‘repair’ strategy
    • AI as an interpreter of overwhelming biological data; protein folding as a milestone
    • Longevity ‘escape velocity’ idea: incremental gains buy time for future breakthroughs
  12. 44:27 – 1:02:46

    Practical longevity now: basic health behaviors, strength training, and skepticism about stacks

    Asked for the “Full Monty,” Steele emphasizes boring-but-powerful basics: don’t smoke, maintain healthy weight, exercise—especially strength training to preserve function. He’s cautious about supplements and off-label drugs until stronger human trials arrive, while flagging metformin as a near-term test case.

    • Lifestyle basics meaningfully affect biological aging (e.g., smoking accelerates aging system-wide)
    • Strength training to fight sarcopenia and preserve independence—even benefits seen in people in their 90s
    • Diet optimization is complex; evidence for dramatic lifespan changes in humans is limited
    • Supplements (NMN/NAD/resveratrol) lack definitive human longevity evidence
    • Metformin and the TAME-style trials: plausible but awaiting stronger clinical answers
  13. 1:02:46 – 1:16:05

    Longevity culture, death anxiety, and whether longer lives change meaning or behavior

    They discuss why the online longevity community can be emotionally charged, and whether it reflects denial of death or a rational desire to reduce suffering. The conversation turns to how longer lifespans might shift risk tolerance, war, and social priorities—even if day-to-day life feels similar.

    • Why longevity debates trigger intense online reactions and factionalism
    • Pushback: ‘death gives life meaning’ vs. Steele’s view that less death/suffering is better
    • Longer lives could increase aversion to accidents and conflict due to higher perceived stakes
    • Transhumanism and mind-uploading: continuity-of-consciousness concerns
    • Population ethics: hard questions about duties, happiness, and societal trade-offs
  14. 1:16:05 – 1:17:22

    Wrap-up: Steele’s book, where to find him, and closing notes

    The episode closes with a quick look at Steele’s book ‘Ageless’ and a reminder of where listeners can follow his work. Chris and Andrew end on light banter and plugs for social channels.

    • Book: ‘Ageless: The New Science of Getting Older Without Getting Old’
    • The tortoise cover ties back to negligible senescence
    • Where to follow Steele: Twitter and YouTube
    • Show notes and support links mentioned
    • Final thanks and sign-off

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