Top/Bottom Peptides Meta analysis

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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

Reta / Retatrutide — 12

Tirz / Tirzepatide — 10

GHK-Cu — 6

BOTTOM 3 BY NEGATIVE MENTIONS

PT-141 — 6

AOD / AOD9604 — 4

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.
 
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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