HOW TO STAY YOUNG:

Starve-destroy-recycle-eat-build-eat-build-starve...

The human ecosystem (our internal environment) has the same processes as the environmental ecosystem. Destruction & Reconstruction is a universal process. This is how we stay young.

We should take our cue from the senolytic processes of nature. A coppiced Hazel tree is near immortal.
Too much destruction (chronic calorie restriction) and too much growth (hyperfunction/ constant eating) are both bad and lead to derangement.
'A single bout of resistance training induced rapid clearance of senescent cells in muscle' h/t @Mangan150

https://t.co/MW7oFn6bgm
"Conc: Rapid senescent cell clearance of human skeletal muscle during resistance exercise seems to associate with enhanced in situ phagocytosis. High protein availability accelerates resolution of muscle inflammation and promotes muscle increment after training" h/t @SPKP1124
After Resistance or High-Intensity training I sometimes eat directly after (with sufficient protein) but very often don't eat for a couple hours as I want to continue the 'destruction' process.
Physical Standards. Note: These all involve intensity without killing yourself.
FASTING - Why it works.

1 The brain ‘improves’ in response to hunger;

2 The body preserves itself in response to deprivation.

Seen as an evolutionary survival mechanism the fasting rationale becomes clear.

https://t.co/DTKkLkLGMc
Summary:

You have to recycle your body. Just like the environment recycles itself.

Hard exercise (on top of a good aerobic base/gen activity) but no need to overtrain. Work-out fasted (50% of time), eat 18/6, 2 meals a day, default is slight CR, + overfeeding once/twice a week

More from Science

Hugh Everett's birthday! Pioneer of the Many-Worlds Interpretation of quantum mechanics. Let us celebrate by thinking about ontological extravagance. I will do so by way of analogy, because I have found that everyone loves analogies and nobody ever willfully misconstrues them.


We look at the night sky and see photons arriving to us, emitted by distant stars. Let's contrast two different theories about how stars emit photons.

One theory says, we know how stars shine, and our equations predict that they emit photons roughly uniformly in all directions. Call this the "Many-Photons Interpretation" (MPI).

But! Others object. That is *so many photons*. Most of which we don't observe, and can't observe, since they're moving away at the speed of light. It's too ontologically extravagant to posit a huge number of unobservable things!

So they suggest a "Photon Collapse Interpretation." According to this theory, the photons emitted toward us actually exist. But photons that would be emitted in directions we will never observe simply collapse into utter non-existence.
It was great to talk about reproducible workflows for @riotscienceclub @riotscience_wlv. You can watch the recording below, but if you don't want to listen to me talk for 40 minutes, I thought I would summarise my talk in a thread:


My inspiration was making open science accessible. I wanted to outline the mistakes I've made along the way so people would feel empowered to give it a go. Increased accountability is seen as a barrier to adopting open science practices as an ECR

It also comes across as all or nothing. You are either fully open science or your research won't get anywhere. However, that can be quite intimidating, so I wanted to emphasise this incremental approach to adapting your workflow

There are two sides to why you should work towards reproducibility. The first is communal. It's going to help the field if you or someone else can reproduce your whole pipeline.


There is also the selfish element of it's just going to help you do your work. If you can't remember what your work means after a lunch break, you're not going to remember months or years down the line

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