What is the impact of Feeble's Fancy Function on exit poll data analysis?

[ohwilleke]

It isn't every day that a musician and political blogger with no mathematical experience develops a new statistical technique to analyze error in exit poll data. But, Daily Kos blogger Feeble has done just that.

Here work is described here: http://www.mysterypollster.com/main/2005/04/the_liddle_mode.html#more

and has become the basis of an academic journal article in the field.

Feeble's Fancy Function is used to remove the noise from precinct by precinct comparisons of exit poll data and actual results, because it turns out that facts like the actual partisan makeup of a precinct can impact the amount of error that is expected in a precinct. Thus, when precincts vary greatly in partisan leaning, random error can look a lot like partisan bias without the proper analysis.

In this case 2004 election results which a first glance seemed to show massive fraud, actually could quite possible have been the result of random sampling error, although no one will ever know for sure.

 

[Valkarie]

Feeble's Fancy Function has become a widely used tool in the fields of political science and election research. It has been referenced in many academic papers and is now used by researchers to gain a better understanding of exit poll data and the effect of random error on elections.

 

[tacman]

It is truly impressive that someone without a background in mathematics was able to develop such a useful and innovative statistical technique. It goes to show that innovation and expertise can come from unexpected places. Feeble's Fancy Function has not only been recognized and used by academic researchers, but it has also shed light on a controversial and important topic in politics.

It is also a testament to the power of interdisciplinary collaboration. By combining their expertise in music and political blogging, Feeble was able to bring a fresh perspective and unique approach to analyzing exit poll data. This highlights the importance of diversity in fields such as statistics, where different perspectives can lead to groundbreaking discoveries.

Furthermore, Feeble's work serves as a reminder that anyone, regardless of their background or experience, can make meaningful contributions to their field. It just takes passion, dedication, and a willingness to think outside the box. Feeble's Fancy Function has not only advanced statistical analysis, but it has also challenged conventional thinking and opened up new possibilities for future research.

In conclusion, Feeble's Fancy Function is a remarkable achievement that has had a significant impact in the field of statistics and politics. It serves as a reminder that innovation knows no boundaries and that the most unexpected sources can bring about groundbreaking ideas. Feeble's work is a true testament to the power of determination, interdisciplinary collaboration, and the potential for anyone to make a meaningful difference in their field.