With all due respect,
he got called out plenty, not sure you were the first, what heat you took or what time proved but I have a question.
I won't state my stance anymore succinctly than I did back in post #5 which was complemented/completed excellently by
@Slartibartfast in #7. Suffice to say I get and expected the negativity and there is a good chance I know why you used the word idiot. I ain't at all mad at anyone for being upset it coulda hit me that way too.
My question is, let's put Tren dosage aside for a sec, do you have any issues with the Safe Practices or Harm Reduction information he provided? Love to hear any if you do.
My 2 cents-
Personally I find the content excellent and I copied it into a word document right away. IME I find it to be one of the most comprehensive pieces I have seen on the subject with just the right amount of depth. A fantastic jumping off point for anyone with an interest in the subject. Overdone? He certainly comes outta the gate strong but it welcomes one to either dip a toe or dive in as deep as they want. Plus there is plenty of "hmm, I never considered that too much" for just about everyone no matter how far they are along in their own self education. Probably a nice lil dose of "I never knew that" as well.
Of course there is room for discussion and debate too but I've yet to poke at anything that I found to be flat out wrong.
Regardless of that Monster dosage for me personally his approach is way too much work but if I was 40 years younger and still had Mr O ambitions (wasn't close) I can see it. For now as I focus more on health I'll be taking a peek, including it in my researching when I have an interest in something in particular and vetting it like I would any other source of info.
Flat out wrong individual mechanisms, no.
Except the entire approach has a fundamental flaw, which I've mentioned before. So I wasnt going to bother stating it again.
But the OP mentions being trained in complexity theory and this kind of reductionism, while producing mechanistically fascinating theories, is in opposition to complex systems analysis.
Reductionist measurement is useful for understanding components, but component level optimization does not necessarily translate into system level optimization even in something as relatively simple as a high performance race car.
Your body is not a collection of independent dials. It is a coupled, dynamic system with feedback, feed-forward, adaptation, and anticipatory cascades. "optimal" setting for one variable is not necessarily the most stable configuration for the whole system.
In industrial instrumentation and control, you can have an "all in the green" control panel while having reduced your safety buffer if you got there by forcing parameters or configuration changes, and be seconds away from disaster from a relatively small perturbation that would otherwise have been inconsequential.
TMI for example, they took actions intended to correct an individual parameter (reduce indicated pressurizer level) that that ultimately worsened the underlying condition.
The human body is vastly more complex than a feed water system.
On top of that, even granting that any given biomarker shift is beneficial, much of the evidence for preventive interventions is only visible at a population level.
Many primary prevention interventions have absolute risk reductions that are tiny.
They are meaningful at a population level benefit,
But a 1 or 2% population level risk reduction, proves nothing about a meaningful benefit to any an otherwise healthy individual, let alone the idea that you're fully protected.
Claims that baseline risk is higher for any particular unstudied population due to any particular parameter is at best speculation. benefit is simply unknown.
Then the idea of stacking many marginal interventions in a system that doesn't obviously sum those effects (and assuming only those effects) and calling the result "optimization." Establishes claims far beyond the evidence.
If even engineered systems whose feedback loops we deliberately engineer can behave unexpectedly when multiple interacting variables are manipulated.... I can't see why we should expect the same strategy to work reliably in a vastly more complicated biological system where we don't even fully understand many the mechanisms,
nor their secondary 'side effects' we continue to discover.
Let alone the cascade of combinations.
Medicine is genuinely good at acute care, correcting a critical parameter that's dominating the system with fast feedback and a short time horizon. Its comparatively poor at chronic optimization, where the intervention operates on time constants of months to years, feedback is slow and noisy, even when trying to optimize a minimal number of parameters.
This isn't surprising, it's exactly what is predicted from complexity theory once you leave the immediate feedback time frame where the acute problem and it's response is relatively obvious.
And the op is manipulating
numerous coupled variables at once rather than one dominant failure mode.
Endless tweaking of a complex system is not inherently benign either. In any higher dimensional system, there are vastly more possible combinations of interacting states than there are stable configurations.
My own conclusion is almost the opposite of the ops optimization mindset.
I respect the enormous amount of evolved/created system level integration we don't fully understand, and I'm reluctant to perturb multiple variables simultaneously.
It's a fascinating subject, and I applaud the op for his diligence at naming and looking into how the trees are growing, but hope he doesn't get lost in the forest.
I'm all for self experimentation, but I'm unsure of how this has value with so many interventions done at the same time.
But who knows, maybe we'll have the world's first X-Man.