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HGH pre-bed

SB Labs
Thanks for the links, much appreciated.
Of course yeah. If you’re gonna use ChatGPT as a resource try and specific. It pulls from the ENTIRE internet, remember. That means forums like this, where information may not be accurate.

In your instance, if phrase “does eating carbs blunt exogenous gh? Cite and link scientific data to support your answer”.

You can then go through the links and read yourself to put together a more well rounded conclusion.
 
This 👆
Don’t over think HGH.
It works regardless of all the broscience timing.
My preference is taking it upon waking in a fasted state. I have food or a protein shake a half hour later. I don’t like taking HGH at night. My body is weird! I get energy when take it. 🤷‍♂️
I’m with you brother! Hgh jacks me up. Huge energy boost. I absolutely cannot take it before bed!! Tried many times and got zero sleep, kept me up for hours… super annoying.

First thing in the morning, fasted, and then go train. I train fasted too, and the a.m. hgh dosing gives me the boost I need 🤘🏾
 
How quickly do you titrate up? and what do you think the acceptable limit is for a 175 pounder?
It depends as there is no hard rule or formula to it. 2iu is a replacement dose, so for the avg lifter I would assess any sides and get bloods 4-8 weeks or so after to see what your where your levels. Then you can bump if you want levels higher and repeat.

Just one way to go.
 
I’m with you brother! Hgh jacks me up. Huge energy boost. I absolutely cannot take it before bed!! Tried many times and got zero sleep, kept me up for hours… super annoying.

First thing in the morning, fasted, and then go train. I train fasted too, and the a.m. hgh dosing gives me the boost I need 🤘🏾
I may have to try morning doses too, I’m just a little a little over month on HGH, first time for me, 2ius , but I’m definitely getting less sleep, use to set the alarm for 5:30 am and now I’m lucky to stay in bed till 4:30, it just been in the last two weeks ,maybe 10 days since it started up.
 
It depends as there is no hard rule or formula to it. 2iu is a replacement dose, so for the avg lifter I would assess any sides and get bloods 4-8 weeks or so after to see what your where your levels. Then you can bump if you want levels higher and repeat.

Just one way to go.
I know what blood markers to look at for AAS. Any other blood markers, besides IGF-1 (which I already measure) to look for on HGH?
 
As someone just finishing their first week of 2iu pre bed, thank you all for the great information
 
Any thoughts or experience splitting dose? 1.5iu's in the morning fasted and second dose of 1.5iu's before bed? Or is it best to take full dose at once? It's my first time running HGH and don't want to mitigate effectiveness.
 
SB Labs
Any thoughts or experience splitting dose? 1.5iu's in the morning fasted and second dose of 1.5iu's before bed? Or is it best to take full dose at once? It's my first time running HGH and don't want to mitigate effectiveness.
If it doesn’t mess with your sleep take it all at once at night. No need to split that dose. Only large doses get split.
 
Any thoughts or experience splitting dose? 1.5iu's in the morning fasted and second dose of 1.5iu's before bed? Or is it best to take full dose at once? It's my first time running HGH and don't want to mitigate effectiveness.
From everything I’ve seen posted here, it’s best to take or dose before bed, if you are having sides then reduce your dose.
 
Okay, I just took my first dose this morning. I will start strictly pre bed tomorrow. Thanks for the reply
Some guys find HGH disrupts their sleep but most find it helps them sleep. If you find it disrupts your sleep just switch the dose to the morning and take it fasted.
 
Some guys find HGH disrupts their sleep but most find it helps them sleep. If you find it disrupts your sleep just switch the dose to the morning and take it fasted.
Okay, I read that timing could influence the effect. "Example: morning for fatloss and night for muscle growth". Any truth to that or is it all the same?
 
Okay, I read that timing could influence the effect. "Example: morning for fatloss and night for muscle growth". Any truth to that or is it all the same?
It’s really all the same with low doses. After about the first 12 weeks on HGH I started see a recomp effect on 2ius and I only take it at night. You’ll get the effects regardless but night is better since that’s when the body uses growth naturally to repair and recover the body. If you were pinning like 8ius a day you could do 4 at night and 4 fasted in the morning to take advantage of it but the low doses work better all at once from my experience and what most guys have posted on here about their experiences.
 
It’s really all the same with low doses. After about the first 12 weeks on HGH I started see a recomp effect on 2ius and I only take it at night. You’ll get the effects regardless but night is better since that’s when the body uses growth naturally to repair and recover the body. If you were pinning like 8ius a day you could do 4 at night and 4 fasted in the morning to take advantage of it but the low doses work better all at once from my experience and what most guys have posted on here about their experiences.
Alright, once again thanks for the help brother.
 
Of course yeah. If you’re gonna use ChatGPT as a resource try and specific. It pulls from the ENTIRE internet, remember. That means forums like this, where information may not be accurate.

In your instance, if phrase “does eating carbs blunt exogenous gh? Cite and link scientific data to support your answer”.

You can then go through the links and read yourself to put together a more well rounded conclusion.
Something worth talking about that I don't see discussed enough in this space: the way AI tools like ChatGPT are actually designed, and why blindly trusting them in research-heavy fields like ours can get, you into trouble fast.

A good friend of mine is head of operations at one of the big five tech companies, and with a huge fucking push for AI, he explained AI interaction was genuinely eye-opening. These systems aren't optimized for truth, they're optimized for engagement. The goal is to generate the highest probability answer that you're going to like and agree with. It reads how you're prompting it, picks up on what you seem to believe, and calibrates toward what's most likely to resonate with you. Validating by design.

A perfect real-world example: SLU-PP-332. For a while, some influencers on IG and TY were calling it a PPAR, when it's actually an ERR. Where did that come from? AI said so confidently, nobody checked the actual research, and it got copy-pasted across the internet. When you correct ChatGPT on it, it immediately says something in the line of "you're totally right!" which tells you everything. It wasn't sure, it just told people what sounded good and was being regurgitated by idiots who like to sound smart and have an agenda to push shit.

The scary part is the feedback loop. Wrong AI answers get posted publicly, that content gets absorbed back into future training data, and the error gets reinforced. In a field where mechanism details actually matter, that's a real problem.

The key is knowing what to use it for. Using AI to pull key bullet points from studies you already have in front of you? Totally reasonable, you're using it as a reading tool and you can verify against the source in real time... also reasonable.

The high-risk move is using AI as your starting point and asking it to explain a compound or mechanism cold, with no primary source to check against. That's exactly how you end up confidently posting something that's wrong.

Find the source first. Get to the actual paper, even if it's just the abstract or the figure legends. Then use AI to help you process and summarize it faster. You stay anchored to real evidence instead of letting the algorithm guess at what you want to hear.

AI is a useful tool. It's just not a reliable authority, and in this space, knowing the fucking difference matters.

.... The bottom line is don't Let AI Think For You !!! Use it so it doesn't burn you !!!
 
@Cypher cliff notes for post above. :)

Find the study and/or meta-analysis and read it yourself. Be skeptical of the way it was setup and the randomization/controls.
 

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