See this thread for a discussion. A less buck-passing model is: “This bucket represents the sheep … plus an error term resulting from this here specific error process.”
For instance, if I systematically count two sheep exiting together as one sheep, then the bucket represents the number of sheep minus the number of sheep-pairs erroneously detected as one sheep. It’s not enough to say the sheep-detector is buggy; to have an accurate model of what it does (and thus, what its representations mean) you need to know what the bug is.
See this thread for a discussion. A less buck-passing model is: “This bucket represents the sheep … plus an error term resulting from this here specific error process.”
For instance, if I systematically count two sheep exiting together as one sheep, then the bucket represents the number of sheep minus the number of sheep-pairs erroneously detected as one sheep. It’s not enough to say the sheep-detector is buggy; to have an accurate model of what it does (and thus, what its representations mean) you need to know what the bug is.