Yes, why would technology be limited to only being able to measure to the nearest 1%
there are 2 main errors in any measurement.
the systematic error (how far from the real value it is), and the distribution of results (scatter).
by taking umpteen measurements, you can apply statistics to the scatter and work out the mean. that only takes into account the variability of the machine itself.
the systematic error is far harder to measure. you need a way to accurately determine the "truth" before associating a systematic error to anything.
If DEXA is the best we have (compared to BIA and water immersion), how do you calibrate a DEXA when the density of muscle, bone and fat varies for each person, and varies within each persons body?
you can calibrate it with "shadows", but if the subjects densities are different, the DEXA measurement will not be accurate. this could easily be a few BF% difference.
the real question is, how can any method measure body composition accurately at all? even when animals have been dissected and measured, the results vary greatly (for all body composition measurement methods).
in the end (like a chassis dyno for cars) as long as you use the same machine with the same calibration for all your tests, and mainly look at the change in measurement, rather than the absolute value, DEXA is the best you have.
if you use a different DEXA machine, or yours gets calibrated differently, the results are nowhere near as useful.
You asked if it can be measured accurately
I said yes, why wouldn't it because it cannot be measured accurately
You said why not
I gave an example of how 14 year old kids can measure it at least semi-accurately if done in the right way. "semi-accurately"? no such thing, and BIA is less accurate than DEXA, and based on DEXA results which are also innaccurate
The implications of this are that there will be methods of testing bodyfat that are a lot more accurate than a teenager can do (EG a DEXA scan) more accurate yes, accurate, no
I'm sorry this upsets you so much. I don't even get why you're arguing lol. You find it hard to believe that we have the technology to measure that accurately? Why?
why? because we don't. within +-2% sure, within +-1% very doubtful.
in the end does it matter? no