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Post by n00b on Apr 3, 2020 17:50:23 GMT -5
Sure. 3 of 7. But it's a mistake to believe we know more about this thing than we do. It still seems pretty random. No one is safe. Some people may be SAFER, but no one is safe. Sure but you can say that about any disease. People of all ages die from cancer as well. Not to mention man-made deaths like car crashes. Life itself is one big game of Russian roulette.
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Post by vup on Apr 3, 2020 18:21:24 GMT -5
Sure. 3 of 7. But it's a mistake to believe we know more about this thing than we do. It still seems pretty random. No one is safe. Some people may be SAFER, but no one is safe. Sure but you can say that about any disease. People of all ages die from cancer as well. Not to mention man-made deaths like car crashes. Life itself is one big game of Russian roulette.
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Post by ironhammer on Apr 4, 2020 7:25:44 GMT -5
My quarantine experience mostly involves working from home. It can be challenging, but fortunately I have a job that does not always require me to be physically present in the office. Working from home also made reflect and ponder about things I usually don't have time and patience to think over. Such as the very value and meaning of work.
In an ideal world, work should not be tedious drudgery just for the purpose of putting food on the table and paying the bills. It should be something meaningful and satisfying as well, helping you serve a purpose in life. In an ideal world too, work should be flexible to allow people to balance their private free time and work, to allow them to explore personal interest outside of the office. Alas, in reality of course that cannot always happen. A shame in a way, I always wonder if society would be better-off if people can pursue their abiltiy and interest without always having pressing financial pressure dictating their every move.
Maybe this is why I encounter people from time to time who have a degree of financial security, can reap certain material rewards from their labor (i.e. live in a decent house, drive a nice car, can go on holidays once in a while), yet seem unhappy and unfulfilled in life. This mismatch between what one desires in life and the needs of a capitalistic economy is not unique to the US, but seems quite glaring and severe here.
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Post by ironhammer on Apr 4, 2020 7:39:24 GMT -5
Sure. 3 of 7. But it's a mistake to believe we know more about this thing than we do. It still seems pretty random. No one is safe. Some people may be SAFER, but no one is safe. Sure but you can say that about any disease. People of all ages die from cancer as well. Not to mention man-made deaths like car crashes. Life itself is one big game of Russian roulette. Its a matter of statistics. You are right, there are otherwise young and fit people, who don't smoke or drink, that somehow develop cancer. There are people who have a vegetarian diet who develop heart disease. There are people who don't indulge in sugary food yet still develop diabetes. But those are statistical outliers, the exception rather than the norm.
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Post by akbar on Apr 4, 2020 8:26:46 GMT -5
I was thinking of taking up vaping.
Sucking in super heated metal, plastic and chemicals sounds like a great antidote to this respiratory virus.
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Post by Phaedrus on Apr 4, 2020 8:29:45 GMT -5
Sure but you can say that about any disease. People of all ages die from cancer as well. Not to mention man-made deaths like car crashes. Life itself is one big game of Russian roulette. Its a matter of statistics. You are right, there are otherwise young and fit people, who don't smoke or drink, that somehow develop cancer. There are people who have a vegetarian diet who develop heart disease. There are people who don't indulge in sugary food yet still develop diabetes. But those are statistical outliers, the exception rather than the norm. They dont really qualify as outliers. And I hate Gladwell for populauzing that term. They fall into the tail end of the normal distribution but they sit firmly in the population space.
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Post by ironhammer on Apr 4, 2020 8:48:52 GMT -5
Its a matter of statistics. You are right, there are otherwise young and fit people, who don't smoke or drink, that somehow develop cancer. There are people who have a vegetarian diet who develop heart disease. There are people who don't indulge in sugary food yet still develop diabetes. But those are statistical outliers, the exception rather than the norm. They dont really qualify as outliers. And I hate Gladwell for populauzing that term. They fall into the tail end of the normal distribution but they sit firmly in the population space. Do you have a source for that claim? The point is that they are in the minority of cases. The older you are, the higher risk you have for getting diseases like cancer, heart disease, diabetes and various neurological degenerative diseases, especially when you are over 50, there is notable spike in cases. That doesn't mean young people cannot get those. But nevertheless, most cases fall in those 50 or above.
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Post by Phaedrus on Apr 4, 2020 10:49:16 GMT -5
They dont really qualify as outliers. And I hate Gladwell for populauzing that term. They fall into the tail end of the normal distribution but they sit firmly in the population space. Do you have a source for that claim? The point is that they are in the minority of cases. The older you are, the higher risk you have for getting diseases like cancer, heart disease, diabetes and various neurological degenerative diseases, especially when you are over 50, there is notable spike in cases. That doesn't mean young people cannot get those. But nevertheless, most cases fall in those 50 or above. In statistics, an outlier is a data point that differs significantly from other observations.An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. An outlier can cause serious problems in statistical analyses.
Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution.
Outliers, being the most extreme observations, may include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low. However, the sample maximum and minimum are not always outliers because they may not be unusually far from other observations.en.wikipedia.org/wiki/OutlierThis is why I hate that he made it popular. Outliers have a precise meaning statistics and Gladwell made it a common phrase and people use it to mean what they think it means and not what it means statistically. You can't know for sure until you examine the population distribution.
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Post by mikegarrison on Apr 4, 2020 13:18:03 GMT -5
"Outlier" is a fuzzy term. To some people, it means one thing. To others it means something else. Like many words, it can have a specific meaning in certain fields and a general meaning outside those fields.
It could mean just "something out of the ordinary". Or you could define a criterion, like 3-sigma, and say that anything outside that is an outlier. (Although if you have at least 100 points of data, there is a reasonable likelihood one will be outside of three sigma just by chance.) But fundamentally, if something is out in the extreme tails of a distribution it is still part of the distribution as long as it is truly part of the same population. So whether it is an "outlier" or not depends on your definition of outlier.
A more useful distinction would be something that is outside of the expected range of results FOR A REASON. (Although this might be more "bad data" than an "outlier".) Such cases are not really in the tails of the distribution so much as they are in a different population entirely. But that is fuzzy too.
If people were either "healthy" or "sick" in a binary way, then it would make sense to say that "sick" people are outliers from the "healthy" population (in the sense that they lie outside that population -- they are members of a different population). But healthy and sick are not actually binary. A person can be more healthy or less healthy. A person can have a heart condition but be otherwise healthy, overweight but otherwise healthy, immunity-compromised but otherwise healthy, etc. So it's kind of misguided to say something like "the virus doesn't hurt young, healthy people" because that's the fallacy sometimes called "No True Scotsman". That is to say, if you exclude all the young people who do get seriously sick from the virus because you claim they are are not "healthy", then it's simply a tautology to say that "healthy young people don't get seriously sick from the virus".
I've never read anything by Gladwell, so I don't know what he may or may not have popularized about "outliers".
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Post by Phaedrus on Apr 4, 2020 15:57:54 GMT -5
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Post by Deleted on Apr 4, 2020 17:53:47 GMT -5
You would think that walking down a stopped escalator (I am assuming you mean that it was stopped?) is fine. I mean, when an escalator is not moving, it is stairs, right? But no, typically you are not allowed to walk up or down stopped escalators. The safety codes are different from stairs. We had some underground transit stations here that were built with no regular stairs. Only escalators and elevators. (There were emergency exit stairwells.) When the escalators broke down, they made everyone take the elevators, which could not handle the volume of people. It was a real mess. They eventually decided that in the future if the escalators broke down, they would open up the emergency exit stairwells. Just using the escalators as stairs was out of the question. Didn't meet safety codes. No, the escalator was moving. And its the ramp type so you can move the shopping cart onto. If you flown through O'Hare on United and had to go from concourse B to C, you've seen the moving walkway. So the ones in Costco are like that, just on an incline. I think they made people stand on the escalator to slow the traffic entering the warehouse. I like an escalator because an escalator can never break, it can only become stairs. There would never be an escalator temporarily out of order sign, only an escalator temporarily stairs. Sorry for the convenience. -- Mitch Hedberg
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Post by joetrinsey on Apr 4, 2020 19:22:22 GMT -5
No, the escalator was moving. And its the ramp type so you can move the shopping cart onto. If you flown through O'Hare on United and had to go from concourse B to C, you've seen the moving walkway. So the ones in Costco are like that, just on an incline. I think they made people stand on the escalator to slow the traffic entering the warehouse. I like an escalator because an escalator can never break, it can only become stairs. There would never be an escalator temporarily out of order sign, only an escalator temporarily stairs. Sorry for the convenience. -- Mitch Hedberg
I saw this wino and he was eating grapes. I was like, "Dude, you got to wait!"
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Post by ironhammer on Apr 5, 2020 2:09:50 GMT -5
Do you have a source for that claim? The point is that they are in the minority of cases. The older you are, the higher risk you have for getting diseases like cancer, heart disease, diabetes and various neurological degenerative diseases, especially when you are over 50, there is notable spike in cases. That doesn't mean young people cannot get those. But nevertheless, most cases fall in those 50 or above. In statistics, an outlier is a data point that differs significantly from other observations.An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. An outlier can cause serious problems in statistical analyses.
Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution.
Outliers, being the most extreme observations, may include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low. However, the sample maximum and minimum are not always outliers because they may not be unusually far from other observations.en.wikipedia.org/wiki/OutlierThis is why I hate that he made it popular. Outliers have a precise meaning statistics and Gladwell made it a common phrase and people use it to mean what they think it means and not what it means statistically. You can't know for sure until you examine the population distribution. I mean the source that shows it is the norm for young and fit people to get cancer, heart disease, diabetes, etc. Otherwise, in common parlance, not statistical term, they are outliers.
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Post by XAsstCoach on Apr 5, 2020 7:26:27 GMT -5
I am amazed at how fast the mobile phone ordering system works here is China...have to give them credit for doing a good job with it. Standing outside BK to order a drink to go, when I walked in my order already shows on their screen. Sitting here at a restaurant called Blue Frog sipping on my BK Coke while waiting for my beef fajita take out.
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Post by Phaedrus on Apr 5, 2020 7:48:29 GMT -5
In statistics, an outlier is a data point that differs significantly from other observations.An outlier may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. An outlier can cause serious problems in statistical analyses.
Outliers can occur by chance in any distribution, but they often indicate either measurement error or that the population has a heavy-tailed distribution.
Outliers, being the most extreme observations, may include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low. However, the sample maximum and minimum are not always outliers because they may not be unusually far from other observations.en.wikipedia.org/wiki/OutlierThis is why I hate that he made it popular. Outliers have a precise meaning statistics and Gladwell made it a common phrase and people use it to mean what they think it means and not what it means statistically. You can't know for sure until you examine the population distribution. I mean the source that shows it is the norm for young and fit people to get cancer, heart disease, diabetes, etc. Otherwise, in common parlance, not statistical term, they are outliers. The "common" term is misleadung, even though it is convenient. It makes it sound like "impossible that this could happen."
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