(no title)
froobius | 4 months ago
It's important to flag that the principle is not trite, and it is useful.
There's been a misunderstanding of the distribution after the measurement of "time taken so far", (illuminated in the other thread), which has lead to this incorrect conclusion.
To bring the core clarification from the other thread here:
The distribution is uniform before you get the measurement of time taken already. But once you get that measurement, it's no longer uniform. There's a decaying curve whose shape is defined by the time taken so far. Such that the estimate `time_left=time_so_far` is useful.
tsimionescu|4 months ago
froobius|4 months ago
The most likely time to fail is always "right now", i.e. this is the part of the curve with the greatest height.
However, the average expected future lifetime increases as a thing ages, because survival is evidence of robustness.
Both of these statements are true and are derived from:
P(survival) = t_obs / (t_obs + t_more)
There is no contradiction.