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I think that's more of a relative impact. When you have just one measurement, you know it's not particularly reliable. When you have a bunch, we are conditioned
by tunesmith 7y ago
I think that's more of a relative impact. When you have just one measurement, you know it's not particularly reliable. When you have a bunch, we are conditioned to think it's more reliable.
So in the latter case, the distance between its reliability and its perceived reliability is greater than in the former case.
- elwell 7y agoI agree with you, that it has to do with perception of reliability. However, the article seems to state that there is an actual greater error with more inputs. That's what I don't understand. "We cannot remove the error by adding more data inputs and averaging them out, and doing that actually makes the error bigger." I don't see how it "makes the error bigger". Maybe I'm being too literal and the writer is truly referring to the perception of the results carrying more weight, and therefore having a "bigger error".