Andrew Steele

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Andrew Steele

Andrew Steele

@statto

Longevity scientist / Author of https://t.co/b7cDbmWGKN / Presenter https://t.co/ChpWwP9GqY / Co-Founder and Director @longevityinit

Berlin, DE Katılım Mayıs 2007
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Andrew Steele
Andrew Steele@statto·
Ageless: The new science of getting older without getting old is out in paperback! ‘A tour de force of anti-ageing science’ – @thetimes ‘A fascinating look at how scientists are working to treat the aging process itself’ – @drsanjaygupta Buy a copy at andrewsteele.co.uk/ageless/
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Andrew Steele
Andrew Steele@statto·
@DrUkeAging Totally agreed! If it’s even a real effect, it could be great in midlife and terrible just off the right-hand side of the graph… Annoying they didn’t follow through given the slow development of cancer though. Another year of data would’ve been very interesting!
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Dr. Uke
Dr. Uke@DrUkeAging·
@statto I partly agree. The study may be reassuring in that it did not show obvious harm under these experimental conditions. Great! But I’d be careful with lifespan claims, since the curves are far from complete and the study was not designed to test longevity. #S35" target="_blank" rel="nofollow noopener">ncbi.nlm.nih.gov/books/NBK56453…
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Andrew Steele
Andrew Steele@statto·
@DrUkeAging I think Zane is being a bit tongue-in-cheek here (and I certainly am!), but why does the intent of the study matter here? It’s arguably underpowered for this conclusion and I am being cautious, but otherwise this looks pretty reassuring for those of us worried about ACM!
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Dr. Uke
Dr. Uke@DrUkeAging·
@statto Worth keeping the full context in mind: this was a high-dose whole-body toxicology study, not a longevity study. Its formal conclusion was equivocal evidence of carcinogenic activity, so I’d be cautious about calling RFR beneficial.
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Zane Koch
Zane Koch@zanehkoch·
for a while i've had a slight fear that the bluetooth from my airpods could be frying my brain this weekend i pulled the raw data from a $30m government study of 1,679 mice blasted with cell phone radiation and reanalyzed it what i found was...not what I expected? 🧵
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Andrew Steele
Andrew Steele@statto·
Is this the case with phone radiation? Well, the lowest level of exposure did have the greatest lifespan increase based on those graphs, so it could be. But 2.5 W/kg is already way above what your phone could provide, so we’d be very safely in the hormetic region if it’s real.
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Andrew Steele
Andrew Steele@statto·
@zanehkoch I hope you have push notifications enabled for all those retweets, get those sweet, sweet microwaves!
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Karl Pfleger
Karl Pfleger@KarlPfleger·
@MotionlessStall @MartinBJensen @zanehkoch Wild timing, I was about to reply to Martin's same message! If this were a pill, I'd still be waiting for more evidence. As is, I still love listening to audiobooks, aging related podcasts, and the audio edition of The Economist (it's awesome) on my bluetooth open-ear earbuds.
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Andrew Steele
Andrew Steele@statto·
@theproof Totally agree! I’ve started talking increasingly about how hard it is for people to fit it all in (and living it since becoming a father haha), and that’s another reason I’m so bullish on longevity medicines over optimising lifestyle…
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Simon Hill MSc, BSc
Simon Hill MSc, BSc@theproof·
@statto I agree we need top and bottom up approaches. I’m just not sure I think bottom up (personal responsibility) is where 95% of our time should be.
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Simon Hill MSc, BSc
Simon Hill MSc, BSc@theproof·
'Peakspan' is an interesting concept but it raises more questions than answers for me. 1 - Who decided ≥90% of peak = the goal? A 65yo at 70% VO₂max with deep social connection, purpose, and subjective wellbeing arguably has more of what matters than a 35yo optimising biomarkers at the expense of their social life. 2 - What are we actually trying to maximise? The original paper frames peakspan around workforce productivity and economic growth... not happiness or flourishing. Those aren't the same thing, and the paper doesn't really grapple with that gap. 3 - If you genuinely want to optimise peakspan at a population level, is the answer more wearables and data or changing the systems that shape our food environment, income security, education, housing, social connection, and neighbourhood conditions? Technology has a role (I use wearables) but it won't shift the needle at scale without policy changes that address the structural drivers of poor health.
Louisa Nicola@louisanicola_

What if the real goal of longevity isn’t Healthspan, but something called Peakspan? New research argues the real target is Peakspan. Peakspan = the years you operate at ≥90% of your peak physical or cognitive ability. Here’s the surprising part: Most human systems peak in our 20s–30s. • VO₂max and lung function peak ~20–25 • Fluid intelligence peaks ~20–30 • Muscle strength peaks ~20–35 • Kidney function begins declining in the early 30s By age 50, most people have already left Peakspan for many systems, even if they’re still “healthy”. This creates a huge Peakspan–Healthspan gap: Years where you are disease-free but already operating below peak capability. The implication is big. Future longevity science should focus less on simply extending life and more on extending the years near peak performance. That means detecting the earliest functional decline and intervening early. AI may help do this by tracking personalized trajectories from wearables, biomarkers, and imaging to predict when someone is about to exit their Peakspan. If we extend Peakspan, we don’t just add years to life. We add high-performance years to human capability.

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Andrew Steele
Andrew Steele@statto·
@seanluomdphd I was using this obviously spurious interpretation to illustrate why this graph is nonsense—I agree with what you’ve written, but I think to regular people this reasoning is more intuitive than lack of pre-specification! Wild to me that there aren’t more critical comments…
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Andrew Steele
Andrew Steele@statto·
@KarlPfleger Yeah, it’s a weird interaction plot which mainly shows ‘no effect’ and that which it does show makes no sense. There might be something interesting in these data but, whatever it is, this graph doesn’t illustrate it!
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Karl Pfleger
Karl Pfleger@KarlPfleger·
So this graph is useless by definition for showing the effect of exercise on biological age at that one amount of sleep and partially (mostly) useless the closer the total amount of sleep is to that amount. I guess the point is only to show the effect of sleep on exercise but in this case it really should be 3 separate graphs and the confidence interval shading should only be used to judge that amount of sleep relative to the reference value, never to compare to different levels of exercise at the same or different sleep amounts. (Possibly it would have been more reasonable to even choose a different reference amount of sleep for the different levels of exercise?) Arguably less exercise is needed if you are spending more time awake because you are more metabolically active for more minutes by virtual of awake time being more active than asleep time, so some of the different shape to the left is maybe a total activity level dose response thing? You are right that I don't see a lot of value in this graph.
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Andrew Steele
Andrew Steele@statto·
@KarlPfleger (So, eyeballing it, the only statistically significant difference in biological age on this graph is for those doing zero exercise and sleeping a long time.)
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Andrew Steele
Andrew Steele@statto·
@KarlPfleger It’s because that’s the reference value, and all the biological ages are relative to that, and the standard (confusing!) way to display that is to give the reference a zero confidence interval because you choose it to be 0. If the interval overlaps with 0, it’s non-significant.
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