Top/Bottom Peptides Meta analysis

jason370

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Quick meta analysis based on replies in the top/bottom thread. Not a highly useful resource due to limited info, but it's interesting just the same.

I cleaned up the thread by attaching each top/bottom list to the unique username who posted it, so quoted replies are not double-counted.

Method:

  • One original vote-set per username.
  • Quoted lists were ignored.
  • Partial lists were counted only for the items actually named.
  • Obvious synonyms were combined:
    • Reta = Retatrutide
    • Tirz = Tirzepatide
    • Tesa = Tesamorelin
    • MT-2 = Melanotan 2
    • AOD = AOD9604
This is anecdotal forum sentiment only, not clinical evidence.

TOP / USEFUL COUNTS

Reta / Retatrutide: 12
Tirz / Tirzepatide: 10
GHK-Cu: 6
Tesa / Tesamorelin: 5
KLOW: 4
KPV: 4
HGH: 2
Insulin: 2
CJC/Ipa or CJC-1295/Ipamorelin: 2
PT-141: 2
BPC-157 / BPC combo: 2
DSIP: 1
Epitalon: 1
PEG-MGF: 1
IGF-1 DES: 1
Sermorelin: 1
Testosterone: 1
Wolverine / BPC-TB style blend: 1
MOTS-C: 1
Semax/Selank combo: 1
NAD+: 1
5-Amino 1MQ: 1
CJC-1295 solo: 1
BPC/TB: 1
All GLPs category: 1
HRT/TRT category: 1

BOTTOM / USELESS COUNTS

PT-141: 6
AOD / AOD9604: 4
NAD+: 4
DSIP: 3
MOTS-C: 3
MT-2 / Melanotan 2: 3
SS-31: 3
KLOW: 1
AD5: 1
SLU-PP-332: 1
BPC-157: 1
KPV: 1
GHK-Cu: 1
Selank: 1
Semax: 1
Adamax: 1
IPA/CJC no DAC blend: 1
Semaglutide: 1
Kisspeptin: 1
Tesa / Tesamorelin: 1
Glutathione: 1
Everything else / broad category: 1

NET SCORE: TOP MINUS BOTTOM

Reta / Retatrutide: 12 top, 0 bottom, net +12
Tirz / Tirzepatide: 10 top, 0 bottom, net +10
GHK-Cu: 6 top, 1 bottom, net +5
Tesa / Tesamorelin: 5 top, 1 bottom, net +4
KLOW: 4 top, 1 bottom, net +3
KPV: 4 top, 1 bottom, net +3
HGH: 2 top, 0 bottom, net +2
Insulin: 2 top, 0 bottom, net +2
CJC/Ipa: 2 top, 1 bottom, net +1
PT-141: 2 top, 6 bottom, net -4
NAD+: 1 top, 4 bottom, net -3
AOD / AOD9604: 0 top, 4 bottom, net -4
DSIP: 1 top, 3 bottom, net -2
MOTS-C: 1 top, 3 bottom, net -2
MT-2 / Melanotan 2: 0 top, 3 bottom, net -3
SS-31: 0 top, 3 bottom, net -3

TOP 3 BY POSITIVE MENTIONS

  1. Reta / Retatrutide — 12
  2. Tirz / Tirzepatide — 10
  3. GHK-Cu — 6
BOTTOM 3 BY NEGATIVE MENTIONS

  1. PT-141 — 6
  2. AOD / AOD9604 — 4
  3. NAD+ — 4
TAKEAWAYS

Reta and Tirz are clearly the strongest winners in this small sample. They show up repeatedly as top picks and do not show up as formal bottom-list picks.

GHK-Cu edges out Tesa by raw positive count, but Tesa still has strong support and a better “performance peptide” vibe depending on what someone is trying to optimize.

PT-141 is the most polarizing. It has some fans, but it also has the highest bottom count.

AOD looks like one of the clearest low-confidence / low-perceived-ROI items in this thread because it shows up repeatedly on bottom lists and has no meaningful top support here.

NAD+, DSIP, MOTS-C, and MT-2 are mixed/polarized. I would not call them universally useless from this thread alone; they look highly individual, goal-dependent, or side-effect dependent.

MT-2 is especially important to interpret carefully: some people may consider it effective for tanning but still rank it poorly because of side effects like darkening moles, freckles, scars, or other skin changes.

My cleaned-up read:

Top tier:
Reta, Tirz

Strong but more debated:
GHK-Cu, Tesa, KLOW, KPV

Polarized / self-test only:
PT-141, NAD+, DSIP, MOTS-C, MT-2

Weakest sentiment in this thread:
AOD9604, SS-31, SLU-PP-332, Adamax
 
I'm a little confused about the source of your data, but the term "meta-analysis" has a distinct meaning in research, and what you did isn't a meta-analysis. Not that I'm saying what you did isn't interesting.

A meta-analysis is a statistical technique that combines the results of multiple independent studies on the same topic to produce a single, more powerful estimate of an effect. I like to think of a meta-analysis as a "study of other studies". By combining the statistical results from a number of studies, the results have higher statistical power, more generalizable conclusions, and can help resolve contradictions in the literature.

What are the top/bottom threads? The numbers are so small in the analysis, I would think that if data was extracted from the forum that there would be more observations.

ETA: Now I see the thread... duh.... I agree with @mybodyisasewer that once the thread is longer that there will be more data.
 
Last edited:
Interesting! One thing to keep in mind is the numbers are dependent on popularity. Tirz/reta are very popular so they will get a lot of votes. Maybe a less popular peptide has only one positive vote but still has a high % of user success.

I wish we had more data but still cool to see.
 

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