Voting and the PFCI-SMS Model
The New America Papers analyzes the 2000 elections (before they were decided) and contrasts traditional approaches to voting tendencies with more meaningful and useful typological approaches. Given the rich complexity of interpretive information, we would like to focus on the PFCI-SMS quadrant map, which gives one of the best "bird's eye" views. More importantly, it is the Social Material Stress scale that relates most closely to voting.
- Overall, Americans who fall into the two right-hand quadrants (low SMS) tend to be more politically engaged.
- Those who fall into the two left-hand quadrants (high SMS) tend to be less politically engaged.
This is further qualified by the continuum of values that the Positive Future-Cooperative Integrative scale contributes.
To help bridge traditional voting demographics (such as party, "ideology," candidate, likelihood to vote, etc.), we have taken the PFCI-SMS quadrant and overlaid these common voting labels used in political polling. Party/Ideology and candidate are separated into two sets of bands likely to vote and not likely to vote. In the full-sized diagram, differences in these superficial labels within each of the five zones of the PFCI-SMS model are clearly evident.
To emphasize this more graphically, we've created a "color wheel" pie-chart analysis of the 2000 election by voting likelihood, candidate, and party/ideology for the PFCI-SMS quadrant model. (We only show the upper right quarter of the full pie-chart due to size constraints.) The complementing graphics shown below demonstrate the spatial distribution of candidate choices, divided into likely and less likely voters, across the PFCI-SMS quadrant. (Less likely voters are shown in lighter shades.)
The traditional political-demographic approach readily breaks down in terms of its ability to identify patterns that translate to significant positions and policy that would be represented by a new type of social and political leadership and, at the very least, public servants who truly serve society for the highest good of all. This also contributes to the inability of traditional political-demographics to accurately predict voting patterns.