Top/Bottom Peptides Meta analysis

jason370

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.
 
Pretty cool. You should definitely come back and update this in a few weeks if that thread gets significantly longer. I'd love to see more of this kind of data.
 
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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