Why is this a "paradox"? Not sure what this applies to either. It's not even counterintuitive.
There is a certain type of mind that delights in paradoxes, to the extent that even after an explanation has been clearly produced, the person will continue to insist there is a paradox. Naming things paradoxes attracts this sort of individual, so it's a kind of marketing ploy for an idea: it won't just get it talked about, it'll get it talked about forever , because each generation of paradox-mongers will take it up…
Potato paradox
71–80 of 142 posts
Re: Potato paradox
#72This is not that uncommon when optimizing code. Your program is slow so you profile it, and find out that f() takes 99% of the time. So you work a lot to optimize f(), and re-profiling shows that now f() takes 98% of the time. Doesn't seem that impressive after all the work you've put into optimizing f(), but your program is actually twice as fast :)
Re: Potato paradox
#73This is not that uncommon when optimizing code. Your program is slow so you profile it, and find out that f() takes 99% of the time. So you work a lot to optimize f(), and re-profiling shows that now f() takes 98% of the time. Doesn't seem that impressive after all the work you've put into optimizing f(), but your program is actually twice as fast :)
Without knowing your code, I can think of a performance hack to get the running time of f() down to less than 10% of the time.
Re: Potato paradox
#74Re: Potato paradox
#75The solution is much more intuitive if you use odds ratios instead of percentage probabilities. You go from a 99:1 ratio to a 98:2 (or 49:1) ratio. In other words, it's another way of phrasing that it takes twice as much evidence to be 99% sure as it is to be 98% sure. Or that it's twice as hard to have 99% uptime than 98%.
Not twice as much evidence. Evidence needs to be measured logarithmically. (Otherwise you'd say it takes twice as much evidence to be 67% sure as 50% sure (2:1 versus 1:1), but the second takes no evidence at all for a binary proposition.)
It takes twice as much evidence to be 99% sure as 91% sure. 98% to 99% is 17 decibels to 20 decibels, which is less than 20% more evidence.
Re: Potato paradox
#76Re: Potato paradox
#77This is not that uncommon when optimizing code. Your program is slow so you profile it, and find out that f() takes 99% of the time. So you work a lot to optimize f(), and re-profiling shows that now f() takes 98% of the time. Doesn't seem that impressive after all the work you've put into optimizing f(), but your program is actually twice as fast :)
For example, say your function f() takes 100% of the time. You then make it twice as fast. You look at the percentage, and, surprise, it still is taking 100% of the time!
Re: Potato paradox
#78Another angle on this problem: How much water must you add to the potatoes to make them 100% water? Of course, you can add all the water in the universe and they'll still not be 100% water. The water-percent increment just gets smaller and smaller, the more water you add. This "potato paradox" illustrates the same effect, but in the other direction, where a small relative decrease yields a large absolute decrease.
At this point, you have 1lb of solids and 199lbs of water, or 99.5%. Then you cough round off, and there you are, 100%!
Re: Potato paradox
#79Earlier quoted context omitted.
The point is that it doesn't even appear absurd unless you have absolutely no number sense.
If you think that, you have more number sense than many people. Perhaps more than most :)
Particularly with the second form of the question in the article - anyone who's ever had a potato knows that it doesn't shrink to half it's weight overnight. Poor situation selection and confusing wording do not make a paradox.
Re: Potato paradox
#80This is only confusing because of the potatoes. If you said you had a pool that was 99% water, that changed to 98% water, the massive weight drop would be much less surprising.