How Much Do You Need to Live Comfortably?

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By admin - Posted on September 15th, 2008

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this poll is a direct 1 to 1

Submitted by chemosapien (not verified) on Fri, 09/19/2008 - 05:15.

this poll is a direct 1 to 1 correlation with "how dependent on society are you?" what i mean is, all the people who say they "need" above 1mil a year, are you serious? they would be dead within 24 hrs after the anarchy struck...in fact its their deaths that would mark the "rule" of anarchy...i say this after eating a dinner of caviar, smoked salmon, and blueberry wine, having sex with 4 hookers by pawning lunestas(freesasmples) as morphinie, all in my palacial rural/suburban villa with a mercedes in the drive...wtf you say? possessed by a rapper?
no.
you just have to shop around
i'm plenty comfortable under 20k

You are what is called an outlier

Submitted by admin on Mon, 09/29/2008 - 15:18.

In statistics, an outlier is an observation that is numerically distant from the rest of the data. Statistics derived from data sets that include outliers may be misleading. For example, if one is calculating the average temperature of 10 objects in a room, and most are between 20 and 25 degrees Celsius, but an oven is at 350 °C, the median of the data may be 23 but the mean temperature will be 55. In this case, the median better reflects the temperature of a randomly sampled object than the mean. Outliers may be indicative of data points that belong to a different population than the rest of the sample set. In most larger samplings of data, some data points will be further away from the sample mean than what is deemed reasonable. This can be due to incidental systematic error or flaws in the theory that generated an assumed family of probability distributions, or it can simply be the case that some observations happen to be a long way from the center of the data. Outlier points can therefore indicate faulty data, erroneous procedures, or areas where a certain theory might not be valid. However, a small number of outliers not due to any anomalous condition is to be expected in large samples.