The ForPrin.com Delphi panel freeware had been causing users some problems recently, apparently due to the age of the software. We commissioned an update and repair of the software, and the repaired version is now online on the Software page of this site. Please let us know how the new version of the software is performing, so that we can continue to improve it.
There are at least seven ways to forecast political elections. The most popular among the public is polling of likely voters. As it happens, polls are actually the least accurate method to predict election outcomes. We could combine all of the many polls to improve accuracy, but that brings the polls only up to a tie with econometric models as the least accurate methods.
The solution is PollyVote.com. Launched in 2003, PollyVote provides real time forecasts to demonstrate simple well-tested methods designed to improve forecast accuracy in virtually any area...
Following the publication of the Golden Rule of Forecasting in late 2015, Scott Armstrong and Kesten Green have made available an Android app to help forecasters to follow the Golden Rule and help forecast users to determine whether a forecast is a product of methods that are consistent with the Golden Rule. To find out more about the free app and to download a copy, clcik on the link on the GoldenRuleofForecasting.com page of this site.
Kesten Green and Scott Armstrong have created a new website devoted to evidence on the Iron Law of Regulation. The objective of the site is in part to "summarize experimental evidence on the effect of regulations on general welfare". The site is relevant for forecasters who wish to follow the Golden Rule of Forecasting when engaged in forecasting for public policy. The Golden Rule of Forecasting requires that forecasters acquire and use all relevant knowledge about the situation being forecast. You can visit this new resource, and add it to your favorites, at IronLawofRegulation.com.
Running advertisements and other persuasive messages is an expensive business, and the difference between an effective ad and one that isn't can be the difference between success and failure. A new paper by Scott Armstrong, Rui Du, Kesten Green, and Andreas Graefe tests a new method—in the form of the Persuasion Principles Index (PPI) model—for predicting the relative effectiveness of advertisements. In effect, the PPI is a rating of conformity to persuasion principles.
