This follows post #28 rather than contradicting 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.
This is a continuation of a long topic, addressed by post number rather than by page. Start at post 1.
This follows post #28 rather than contradicting 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.
I read post #30 twice before replying, because I had assumed the opposite.
Medication changes: escalating dose, or adding or removing other medications, can affect the rate of weight loss. Documenting medication changes alongside weight makes the record interpretable.
Menstrual cycle: for people who menstruate, weight can shift by several pounds across the cycle due to fluid retention and other factors. Noting cycle phase when weighing reduces apparent noise.
Picking up post #32: that is the part I would want checked first.
Thank you for the correction. I have edited my earlier post with a note rather than silently, so the thread still makes sense to read. The error was mine and it was the kind that comes from remembering a figure instead of looking it up.
Plateaus and resets: if weight loss stalls and then resumes, that is ordinary. It is not evidence that the medication stopped working. It is not evidence that it is still working either. It is a data point in a longer record.
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.
Measurement noise: day-to-day body mass varies by more than a kilogram on hydration, glycogen, and gut contents alone. A weekly reading is a single noisy sample of a distribution. A seven-day rolling mean of daily readings has much lower noise.
For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use.
Rate of change: reporting progress as "lost 5 kg in 12 weeks" is more useful than "currently at 82 kg" because the rate tells you whether the change is steady, accelerating, or stalling.
Two things before anyone answers the substance.
First, the context in the first post is clear and specific. Second, the question is framed so that an answer can actually address it. Both are the norm here and both matter more than they sound.
Worth separating two things that post #43 runs together.
Longitudinal report with the method stated: same scale, same time of day, same conditions. A scale is a tool; use the same one each time. Consistency matters more than accuracy at capturing absolute weight.
post #47 is right about the mechanism and I think understates the practical bit.
Protein intake and resistance training: both self-reported and therefore optimistic in most reports. Recording them anyway creates a record you can look back on.
Coming back to post #47, because the follow-up matters more than the original answer.
Longitudinal report with the method stated: same scale, same time of day, same conditions. A scale is a tool; use the same one each time. Consistency matters more than accuracy at capturing absolute weight.
Picking up post #47: that is the part I would want checked first.
Menstrual cycle: for people who menstruate, weight can shift by several pounds across the cycle due to fluid retention and other factors. Noting cycle phase when weighing reduces apparent noise.
Protein intake and resistance training: both self-reported and therefore optimistic in most reports. Recording them anyway creates a record you can look back on.
Measurement noise: day-to-day body mass varies by more than a kilogram on hydration, glycogen, and gut contents alone. A weekly reading is a single noisy sample of a distribution. A seven-day rolling mean of daily readings has much lower noise.
This follows post #50 rather than contradicting it.
I disagree with the reply above, and I think the disagreement is substantive rather than terminological.
The distinction being drawn does not survive when you look at the published data for this specific question. I would be glad to be shown wrong on this, because the version I am arguing against is more convenient.
I read post #52 twice before replying, because I had assumed the opposite.
Rate of change: reporting progress as "lost 5 kg in 12 weeks" is more useful than "currently at 82 kg" because the rate tells you whether the change is steady, accelerating, or stalling.
post #54 answers the question as asked. The question underneath it is different.
Plateaus and resets: if weight loss stalls and then resumes, that is ordinary. It is not evidence that the medication stopped working. It is not evidence that it is still working either. It is a data point in a longer record.
Exercise volume changes: increasing exercise intensity or duration can mask weight loss (muscle gain) on the scale. Noting exercise changes when reporting weight helps interpret results.
Coming back to post #56, because the follow-up matters more than the original answer.
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.
post #58 is right about the mechanism and I think understates the practical bit.
Medication changes: escalating dose, or adding or removing other medications, can affect the rate of weight loss. Documenting medication changes alongside weight makes the record interpretable.
Worth separating two things that post #56 runs together.
Two things before anyone answers the substance.
First, the context in the first post is clear and specific. Second, the question is framed so that an answer can actually address it. Both are the norm here and both matter more than they sound.