Editing Talk:1781: Artifacts

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One possibility for the alt-text scenario:
 
One possibility for the alt-text scenario:
Consider an n-dimensional dataset consisting of n points.  Arbitrarily assign total orders to the data points and the dimensions.  For the most part, every measurement is drawn from a standard Gaussian with mean 0 stdev 1, except the ith dimension of the ith point has a value of n.  {{unsigned ip|108.162.219.244}}
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Consider an n-dimensional dataset consisting of n points.  Arbitrarily assign total orders to the data points and the dimensions.  For the most part, every measurement is drawn from a standard Gaussian with mean 0 stdev 1, except the ith dimension of the ith point has a value of n.   
 
: Though this is really fascinating idea, I think that it is not completely correct. You would need to define outliers in each dimension separately. If you's use n-dimensional distance, the points will be all roughly equidistant from the mean. --[[Special:Contributions/162.158.134.106|162.158.134.106]] 10:42, 5 January 2017 (UTC)
 
: Though this is really fascinating idea, I think that it is not completely correct. You would need to define outliers in each dimension separately. If you's use n-dimensional distance, the points will be all roughly equidistant from the mean. --[[Special:Contributions/162.158.134.106|162.158.134.106]] 10:42, 5 January 2017 (UTC)
 
: I think therefore that "One way to have a data set composed entirely of outliers would be a data set with N points, in an N-dimentional space, where each point is zero for every dimension except one, unique to itself.[http://math.stackexchange.com/questions/1302395/n-points-can-be-equidistant-from-each-other-only-in-dimensions-ge-n-1] All these points are equidistant from each other." should be removed from the text. In an equidistant data set, no point is an outlier.--[[Special:Contributions/162.158.134.106|162.158.134.106]] 10:50, 5 January 2017 (UTC)
 
: I think therefore that "One way to have a data set composed entirely of outliers would be a data set with N points, in an N-dimentional space, where each point is zero for every dimension except one, unique to itself.[http://math.stackexchange.com/questions/1302395/n-points-can-be-equidistant-from-each-other-only-in-dimensions-ge-n-1] All these points are equidistant from each other." should be removed from the text. In an equidistant data set, no point is an outlier.--[[Special:Contributions/162.158.134.106|162.158.134.106]] 10:50, 5 January 2017 (UTC)
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It does look like the Full Resonance tuner sweep graph [[Special:Contributions/108.162.237.238|108.162.237.238]] 15:12, 4 January 2017 (UTC)
 
It does look like the Full Resonance tuner sweep graph [[Special:Contributions/108.162.237.238|108.162.237.238]] 15:12, 4 January 2017 (UTC)
  
Why the emphasis on HAVE in the alttext instead of, say, ENTIRELY? {{unsigned ip|108.162.212.53}}
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Why the emphasis on HAVE in the alttext instead of, say, ENTIRELY?
 
: I see no issue with this. The speaker is clearly focusing on the probability of the situation. If anything, I'd say that this emphasis is intended to underline the competence, or lack thereof, of the researcher, which is in line with the mocking tone previously given. Not emphasizing HAVE would more indicate the speaker is accepting of the results, but is still surprised by them. [[Special:Contributions/162.158.2.10|162.158.2.10]] 15:40, 4 January 2017 (UTC)
 
: I see no issue with this. The speaker is clearly focusing on the probability of the situation. If anything, I'd say that this emphasis is intended to underline the competence, or lack thereof, of the researcher, which is in line with the mocking tone previously given. Not emphasizing HAVE would more indicate the speaker is accepting of the results, but is still surprised by them. [[Special:Contributions/162.158.2.10|162.158.2.10]] 15:40, 4 January 2017 (UTC)
  
Is there also a suggestion that Indiana Jones didn't properly handle artifacts he dealt with? {{unsigned ip|108.162.246.77}}
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Is there also a suggestion that Indiana Jones didn't properly handle artifacts he dealt with?
 
: Depends... Does dropping the Holy Grail down a crevice count as "not properly"? [[Special:Contributions/162.158.2.10|162.158.2.10]] 15:40, 4 January 2017 (UTC)
 
: Depends... Does dropping the Holy Grail down a crevice count as "not properly"? [[Special:Contributions/162.158.2.10|162.158.2.10]] 15:40, 4 January 2017 (UTC)
 
::I also think that that could be a reference to him holding an artifact while running from that giant boulder. Could be. IDK. --[[User:JayRulesXKCD|JayRulesXKCD]] ([[User talk:JayRulesXKCD|talk]]) 15:58, 4 January 2017 (UTC)
 
::I also think that that could be a reference to him holding an artifact while running from that giant boulder. Could be. IDK. --[[User:JayRulesXKCD|JayRulesXKCD]] ([[User talk:JayRulesXKCD|talk]]) 15:58, 4 January 2017 (UTC)
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:Also we already know that Randall Munroe pokes fun at grammar pedants for this exact word from his comic "Data". [[Special:Contributions/108.162.237.208|108.162.237.208]] 20:23, 4 January 2017 (UTC)
 
:Also we already know that Randall Munroe pokes fun at grammar pedants for this exact word from his comic "Data". [[Special:Contributions/108.162.237.208|108.162.237.208]] 20:23, 4 January 2017 (UTC)
  
;Artifacts versus artifacts (artefacts?)
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== Artifacts versus artifacts (artefacts?) ==
  
 
When I first read this I thought it was referencing image compression artifacts. Like he has a chunk of visual aid onscreen but it's all blocky and blurry and stuff. All the statistics stuff mentioned here didn't even cross my mind. [[Special:Contributions/108.162.241.52|108.162.241.52]] 23:01, 4 January 2017 (UTC)
 
When I first read this I thought it was referencing image compression artifacts. Like he has a chunk of visual aid onscreen but it's all blocky and blurry and stuff. All the statistics stuff mentioned here didn't even cross my mind. [[Special:Contributions/108.162.241.52|108.162.241.52]] 23:01, 4 January 2017 (UTC)

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