Demographer Discovers and Writes about a Unique Voting Pattern That Once Impacted Millions of Individuals yet Remains Virtually Unknown

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Statistical Press to publish a new book that discusses an extraordinary voting trend that remains virtually unknown and is positioned to alter the way past and future US presidential elections are analyzed.

The Presidential Trend

The Presidential Trend

The trend may even provide a basis for greater understanding of why conflict in Congress has dramatically increased over the past several years.

What if there is a trend that practically no one knows about, yet it once affected every person in the United States (US)? As unbelievable as it sounds, this is the case. In fact, the trend pertains to the highest office in the country…the office of president. For almost 30 years, a unique trend existed in the US voting electorate that went unnoticed. In fact, it appears that it has remained relatively unknown…until now.

The trend was discovered by a demographic consultant and engineer, Tony Fairfax, while reviewing US Census Bureau reports (Statistical Abstract of the United States, 2001 pg 232). He has written about this unique pattern in his upcoming book, The Presidential Trend, which describes an unusual voting phenomenon whereby the popular vote for the Democratic presidential candidates increases in a straight line or linear fashion from 1972 to 2000, with the exception of one presidential election. During that same period, the votes cast for the Republican and Independent candidates fluctuate. The author believes that this new political theory, which took over ten years to develop, is positioned to alter the way past and future presidential elections are analyzed.

The Presidential Trend contains compelling historical and data-related evidence, including that the trend is so consistent and predictable that the popular vote for Democratic candidates for the 1992, 1996, and 2000 elections could have been predicted back in 1988 with an accuracy of 99% or better. During that same period, the Republican and Independent popular vote fluctuates from election to election in a naturally unpredictable pattern.

Also included in the book is insight to future elections, including the 2016 election. “There are aspects of the trend that provide an understanding of why certain presidential nominees were elected and which ones will most likely be elected in the future,” states Fairfax. “The trend may even provide a basis for greater understanding of why conflict in Congress has dramatically increased over the past several years.”

Instead of writing a purely academic publication, the author has developed a book for the novice as well as the expert. In fact, the book includes a specific section and summary chapter that does not contain the statistical analysis that are found in the other parts of the book. “Practically every household in the US will appreciate reading and discussing this unique and virtually unknown voting trend that is discussed in the book,” said Fairfax. “Amazingly, the predictable trend occurs despite the fact that each election contained fluctuating voter turnout, different candidates, and varying US and global conditions. This truly is a unique voting pattern and possibly the mother of all political trends.”

The publication date for the book is set for December 2, 2013. Prior to that time the book and additional information can be obtained by visiting the website: http://www.presidentialtrend.com.

About Statistical Press

Statistical Press is an independent publishing imprint of CensusChannel LLC. The imprint is dedicated to offering publications that are data centered, specifically in the realm of demographic, political, and socioeconomic related fields. Although these publications rely critically on data, the books remain targeted not only to the average reader, but also to the academic and expert professional as well. In addition, the imprint's belief is that analyzing data does not have to be boring…if presented properly, it can be fun, entertaining and informative. Additional information can be accessed at: http://www.statisticalpress.com.

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Mark Southall
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