▲ 238 ▼ Blizzard strands 1,000 climbers on Mount Everest (www.dw.com) submitted 10 months ago by throws_lemy@reddthat.com to c/world@lemmy.world 55 comments fedilink hide all child comments
[–] fluxion@lemmy.world 30 points 10 months ago (5 children) Wtf are 1000 climbers doing on Mt Everest. permalink fedilink source hideshow 10 child comments replies: [–] humorlessrepost@lemmy.world 18 points 10 months ago Impressing the bots on Facebook. permalink fedilink source parent [+] ameancow@lemmy.world 9 points 10 months ago* (last edited 5 months ago) [deleted] permalink fedilink source parent [–] whereyaaat@lemmings.world 4 points 10 months ago Enjoying the money of useful idiots. permalink fedilink source parent [–] remon@ani.social 2 points 10 months ago Tourism. permalink fedilink source parent [+] Psythik@lemmy.world -12 points 10 months ago* (1 child) What the fuck is one climber doing on Mt. Everest? Your chances of dying are much higher than making it to the summit. It's only a mountain; what's the big deal anyway? There are much safer ways to get exercise and fulfillment; stay on level ground and live. permalink fedilink source parent hideshow 2 child comments replies: [–] burntbacon@discuss.tchncs.de 25 points 10 months ago (1 child) From wikipedia, ~13,000 people have summitted. From wikipedia, ~ 400 people have died on everest. What's this about your chances? permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone 0 points 10 months ago (1 child) Have you heard of "selection bias"? permalink fedilink source parent hideshow 2 child comments replies: [–] burntbacon@discuss.tchncs.de 7 points 10 months ago (1 child) Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source: Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible` Note that selection bias is when you are sampling. We're not talking about a sample here, we're talking about the entire population. In statistics, we call that a parameter. It's generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we're certainly missing a few), that 400/13000 number is pretty damn close. permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone -2 points 10 months ago My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high. permalink fedilink source parent
[–] humorlessrepost@lemmy.world 18 points 10 months ago Impressing the bots on Facebook. permalink fedilink source parent
[+] ameancow@lemmy.world 9 points 10 months ago* (last edited 5 months ago) [deleted] permalink fedilink source parent
[–] whereyaaat@lemmings.world 4 points 10 months ago Enjoying the money of useful idiots. permalink fedilink source parent
[+] Psythik@lemmy.world -12 points 10 months ago* (1 child) What the fuck is one climber doing on Mt. Everest? Your chances of dying are much higher than making it to the summit. It's only a mountain; what's the big deal anyway? There are much safer ways to get exercise and fulfillment; stay on level ground and live. permalink fedilink source parent hideshow 2 child comments replies: [–] burntbacon@discuss.tchncs.de 25 points 10 months ago (1 child) From wikipedia, ~13,000 people have summitted. From wikipedia, ~ 400 people have died on everest. What's this about your chances? permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone 0 points 10 months ago (1 child) Have you heard of "selection bias"? permalink fedilink source parent hideshow 2 child comments replies: [–] burntbacon@discuss.tchncs.de 7 points 10 months ago (1 child) Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source: Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible` Note that selection bias is when you are sampling. We're not talking about a sample here, we're talking about the entire population. In statistics, we call that a parameter. It's generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we're certainly missing a few), that 400/13000 number is pretty damn close. permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone -2 points 10 months ago My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high. permalink fedilink source parent
[–] burntbacon@discuss.tchncs.de 25 points 10 months ago (1 child) From wikipedia, ~13,000 people have summitted. From wikipedia, ~ 400 people have died on everest. What's this about your chances? permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone 0 points 10 months ago (1 child) Have you heard of "selection bias"? permalink fedilink source parent hideshow 2 child comments replies: [–] burntbacon@discuss.tchncs.de 7 points 10 months ago (1 child) Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source: Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible` Note that selection bias is when you are sampling. We're not talking about a sample here, we're talking about the entire population. In statistics, we call that a parameter. It's generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we're certainly missing a few), that 400/13000 number is pretty damn close. permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone -2 points 10 months ago My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high. permalink fedilink source parent
[–] prole@lemmy.blahaj.zone 0 points 10 months ago (1 child) Have you heard of "selection bias"? permalink fedilink source parent hideshow 2 child comments replies: [–] burntbacon@discuss.tchncs.de 7 points 10 months ago (1 child) Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source: Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible` Note that selection bias is when you are sampling. We're not talking about a sample here, we're talking about the entire population. In statistics, we call that a parameter. It's generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we're certainly missing a few), that 400/13000 number is pretty damn close. permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone -2 points 10 months ago My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high. permalink fedilink source parent
[–] burntbacon@discuss.tchncs.de 7 points 10 months ago (1 child) Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source: Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible` Note that selection bias is when you are sampling. We're not talking about a sample here, we're talking about the entire population. In statistics, we call that a parameter. It's generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we're certainly missing a few), that 400/13000 number is pretty damn close. permalink fedilink source parent hideshow 2 child comments replies: [–] prole@lemmy.blahaj.zone -2 points 10 months ago My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high. permalink fedilink source parent
[–] prole@lemmy.blahaj.zone -2 points 10 months ago My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high. permalink fedilink source parent