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I still don't get it. You are explaining error propagation, but my point is that _if you are doing error propagation (as you should do if you want to do things properly), significant figures ARE just for making deliverable pretty_. You are talking about measurement uncertainty. Measurement uncertainty is written x +- y, with y being the uncertainty. If you don't do that and use significant digit instead, you lose the information and precision: 10.0 +- 0.1 is 10.0, 10.0 +- 0.2 is 10.0, 10.0 +- 0.3 is 10.0, ... This is why the other person was talking about "arbitrarily rounding". You should _never_ said "well, it's a measurement of 10.0 with a 0.2 precision, so I can write 10.0", you should _always_ write 10.0 +- 0.2 (in which case, you can also write 10 +- 0.2 or 10.000 +- 0.2, the significant digits have no impact on any future results). Writing 10.0 instead of 10.0 +- 0.2 is just a terrible practice that does not have much justification, 10 +- 0.2 is always a better way. (and my point is that the problem you have with the significant number disappear if you teach people to use a non-clumsy way) (and, no, you should not do the distinction "it's a measurement, so it's written differently", because in practice, a lot of "measurements" are in fact already a transformation, and sometimes you cannot even know for sure yourself. For example, a temperature sensor will measure an electrical resistance (with a measurement uncertainty) and then convert it into a temperature, and according to you, it should not be written the same way, just for arbitrary reasons) |