Comparing my trajectory with the trial curves, carefully — a second dataset posts 61–82
This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.
Fine by me. I had wanted a stronger conclusion and there is not one available.
If a pattern survives a rolling-mean treatment it is worth explaining. Most do not, and that is the useful finding.
This follows post #63 rather than contradicting it.
Nothing here is medical advice and a progress report is a description of what happened to one person under uncontrolled conditions.
A single scale used throughout beats a more accurate scale introduced halfway through. Consistency beats accuracy for a trend.
Worth reading the earlier posts in this thread before acting on mine.
Progress reports that describe an ordinary trajectory are more useful than remarkable ones and are far rarer, because only the remarkable ones feel worth posting.
That is one dataset and I would not build a rule on it.
Seasonal patterns: some people report weight loss is slower in winter than summer. Body composition and activity changes might contribute. Noting the season is useful context.
Where I part company with post #68, and it is a narrow parting.
The best progress reports here read as records rather than as arguments, and that difference is visible within a sentence.
Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses.
Second-hand, so weight it accordingly.
If a pattern survives a rolling-mean treatment it is worth explaining. Most do not, and that is the useful finding.
Posting it because the silence on this was starting to look like agreement.
Non-scale victories: muscle gain or maintenance, clothing fit, energy level, and capability (like climbing stairs without breathlessness) are measurements that scale-based weight misses.
Scoping that to what I have actually seen rather than what I have read.
Useful. I had the fact and not the reason, which turns out to be the important half.
Collapsed as off-topic by two members at trust level 3 or above
Comparing your trajectory to a trial mean is comparing an individual to an average of a selected population, and the spread around that mean is wide.
I would not lead a decision with this, but I would not ignore it either.
If a pattern survives a rolling-mean treatment it is worth explaining. Most do not, and that is the useful finding.
Post #79 and I disagree about the size of the effect, not about the direction.
A single scale used throughout beats a more accurate scale introduced halfway through. Consistency beats accuracy for a trend.
Genuinely open to being wrong about this one.
This topic was referenced in
- Reporting a disappointing outcome, and why it belongs hereOutcomes › Progress reports · 29 replies
- [2026 update] Reporting a disappointing outcome, and why it belongs hereOutcomes › Progress reports · 2 replies
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