Kesten Green's analysis of the outcome of a 10 year "bet" between Scott Armstrong's scientific forecast of global mean temperatures and warnings of a tipping point by former US vice president Al Gore has been posted to and various blogs. It is repeated here for the interest of the forecasting community. 

In the early 1980s, two of the authors of Principles of Business Forecasting, Robert Fildes and Keith Ord, were leaders in the movement to use experiments to determine which principles led to more accurate forecasts. The experiments show that forecasting methods today are capable of providing much more accurate forecasts that they were 50 years ago. This movement was a golden age for progress in forecasting. However, this knowledge has been not been widely adopted in business and government.

Scott Armstrong and Kesten Green are making a last call for help with their paper, "Forecasting methods and principles: Evidence-based checklists". They are ambitious for the paper: by the use of checklists, it is intended to make scientific forecasting accessible to all researchers, practitioners, clients, and other stakeholders who care about forecast accuracy.

Here is the abstract of the paper:

The Unscaled Mean Bounded Relative Absolute Error (UMBRAE) is a new way to measure forecast errors proposed, and well supported in, Chen, Twycross, and Garibaldi (2017). "A new accuracy measure based on bounded relative error for time series forecasting". The new measure appears to be a promising alternative, and is certainly worthy of further comparative research. Some analysts may want to continue using the RAE until further testing is done. We suggest using both measures in the meantime.

We have added Ev Gardner's spreadsheet for damped trend exponential smoothing to the Software Page.