The “stop losing weight” reaction is a visual-BMI problem. People are reading your appearance against an outdated intuition, not your body composition or metabolic markers. These are the reads that actually reframe what you’re tracking. SURMOUNT-1 lean mass subgroups - the headline number collapses body composition entirely. The full paper has lean mass data showing loss isn’t evenly distributed across the cohort. Worth reading before deciding what a good outcome looks like for you specifically. r/Mounjaro DEXA threads - search “DEXA” in the sub. People doing quarterly scans mid-protocol, and the scale-vs-composition discordance is striking. A 90 lb loss has a very different lean/fat story depending on the person. The BMI cutoff problem - most population studies defining “overweight” were built on a specific demographic. Someone can sit in that category and be in a completely different metabolic risk tier than the cohort those cutoffs came from. The substudies surface this; the headline framing buries it. I’ve been logging energy and subjective recovery alongside weight in CareClinic - the trend charts over a few months make the divergence between scale movement and how I’m actually functioning readable in a way weekly numbers don’t. The visual critique people are giving you is noise. The body comp data is the signal.