Editing 1781: Artifacts

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An example of an error artifact is the measurement of the force between two charged metal spheres ({{w|Coulomb force}}), where the potential of unearthed nearby objects influences the measurement, thus causing an artifact. Artifacts have been mentioned before in xkcd, as in [[1453: fMRI]], where getting into the MRI machine induced unintended effects, such as thoughts of claustrophobia.
 
An example of an error artifact is the measurement of the force between two charged metal spheres ({{w|Coulomb force}}), where the potential of unearthed nearby objects influences the measurement, thus causing an artifact. Artifacts have been mentioned before in xkcd, as in [[1453: fMRI]], where getting into the MRI machine induced unintended effects, such as thoughts of claustrophobia.
  
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The title text refers to the entire data set being "outliers." In statistics, an outlier is an observation point that is distant from other observations. One way to have a data set composed entirely of outliers would be a data set with N points, in a 1/2 N-dimensional space, where each point is zero for every dimension except one, unique to itself. The 1/2 is because there would also be a -1 point.[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.  
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The title text refers to the entire data set being "outliers." In statistics, an outlier is an observation point that is distant from other observations. 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.  
  
 
We could also infer that the accusation is a jab at the fact that the data points are all over the place; a good example of such chaotic data can be see in [[1725: Linear Regression]].
 
We could also infer that the accusation is a jab at the fact that the data points are all over the place; a good example of such chaotic data can be see in [[1725: Linear Regression]].

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