I have seen papers on Asthma medication that use FEV1 as metric of success. I have measured FEV1 daily for over a year and one day before I got the flu I felt restricted breathing. My FEV1 was still at the normal value.
A measure that is wrong in one particular case may still be the best measure available on a statistical level. I highly doubt that doctors would get better ideas of which therapies are good if they discarded this measure and instead used “does the patient claim to feel restricted breathing”.
Furthermore, you haven’t convinced me the measure was wrong even in your case. Measurements are rarely yes or no things; most measurements fall within a range and there is not a sharp cutoff between healthy and unhealthy on the end of the range. You could have been at some point that was far enough within the range to be considered okay, yet still not be 100% okay.
You could have been at some point that was far enough within the range to be considered okay, yet still not be 100% okay.
It’s a measurement I did every day I know how the value fluctuates and it was in the middle of the normal range.
A measure that is wrong in one particular case may still be the best measure available on a statistical level. I highly doubt that doctors would get better ideas of which therapies are good if they discarded this measure and instead used “does the patient claim to feel restricted breathing”.
I don’t claim that doctors should just replace FEV1 with “does the patient claim to feel restricted breathing”.
That’s the kind of thing that doesn’t need any reference experiences and is easily communicable via text.
I claim that the actual experience of interacting with a measurement in a involved way is important to train your intuition to be able to understand a measurement. If you don’t have that understanding you are going to make mistakes.
If someone would give me a million dollars I might also produce a device that measures something better than FEV1 but that’s not the main point of the argument. But that would be me wearing a bioinformatics hat and that’s not the main hat I’m wearing in this discussion.
A measure that is wrong in one particular case may still be the best measure available on a statistical level. I highly doubt that doctors would get better ideas of which therapies are good if they discarded this measure and instead used “does the patient claim to feel restricted breathing”.
Furthermore, you haven’t convinced me the measure was wrong even in your case. Measurements are rarely yes or no things; most measurements fall within a range and there is not a sharp cutoff between healthy and unhealthy on the end of the range. You could have been at some point that was far enough within the range to be considered okay, yet still not be 100% okay.
It’s a measurement I did every day I know how the value fluctuates and it was in the middle of the normal range.
I don’t claim that doctors should just replace FEV1 with “does the patient claim to feel restricted breathing”. That’s the kind of thing that doesn’t need any reference experiences and is easily communicable via text.
I claim that the actual experience of interacting with a measurement in a involved way is important to train your intuition to be able to understand a measurement. If you don’t have that understanding you are going to make mistakes.
If someone would give me a million dollars I might also produce a device that measures something better than FEV1 but that’s not the main point of the argument. But that would be me wearing a bioinformatics hat and that’s not the main hat I’m wearing in this discussion.