Absence of Evidence is Evidence of Absence
Continued from This thread.
Quote:
Originally Posted by
MorpheusSandman
Quote:
Originally Posted by
The Atheist
(An absence of evidence is not evidence of absence.)
Yes it is. I'd like to know who came up with that mathematically provable false aphorism.
Quote:
Originally Posted by
The Atheist
Nope. You should probably read your own material before posting it incorrectly. From the link: "The absence of an observation may be strong evidence of absence or very weak evidence of absence, depending on how likely the cause is to produce the observation."
False evidence is no evidence at all, but if you want to continue the discussion, I suggest a new thread.
I have no clue how you think that contradicts my point, especially when that article's thread title says the exact same thing I did (unless you think Yudkowsky is contradicting his own thread title). The post you quoted says, when you elide the complicating bits: "the absence... may be STRONG evidence... or VERY WEAK evidence..." what he's describing there is the LEVEL of evidence any absence is. I don't know what you mean by "false evidence," and I don't think "false evidence" is what's meant by "absence of evidence."
I used this example on another forum a while back: Imagine that you haven't seen your neighbor for two weeks. Typically, you see him a few times a week just incidentally, such as when you're leaving for work and he's watering his lawn. Now, there are many things that could explain WHY you haven't seen him. One possible explanation is that he's dead. Now, the only evidence you can have of him being dead, without actually seeing his body or being told by a relative, is the ABSENCE of evidence that he's alive, and this absence of evidence IS evidence of his absence (death). It may be very WEAK evidence, given that there are other possibilities that account for your observation (not seeing him) with a higher degree of probability, but this absence of evidence that he's alive is, necessarily, evidence that he's dead according to Bayes' Theorem.