Abstract

https://ssrn.com/abstract=1656056
 
 

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The Global Warming Alarm: Forecasts from the Structured Analogies Method


Kesten C. Green


University of South Australia - UniSA Business School; Ehrenberg-Bass Institute for Marketing Science

J. Scott Armstrong


University of Pennsylvania - Marketing Department

March 31, 2011


Abstract:     
When the beach patrol raises the alarm that a shark has been sighted we know what to do, but how should we respond to an alarm that is based on predictions of what will happen 100 years from now and the person raising the alarm tells us we must make great sacrifices now to avoid the predicted catastrophe? To answer this question, we forecast effects and outcomes of the current global warming alarm using a structured analysis of analogous situations. To do this, we searched the literature and asked experts to identify phenomena that were similar to the alarm currently being raised over dangerous manmade global warming. We obtained 71 proposed analogies. Of these, 26 met our criteria that the alarm be: (1) based on forecasts of human catastrophe arising from effects of human activity on the physical environment, (2) endorsed by experts, politicians and the media, and (3) that were accompanied by calls for strong action. None of the 26 alarms were based on scientific forecasting procedures. None of the alarming forecasts were accurate. Governments took action in 23 of the analogous situations and those actions proved to be harmful in 20. The government programs remained in place after the predicted disasters failed to materialize. The global warming alarm movement appears to be the latest manifestation of a common social phenomenon: false alarms based on unscientific forecasts of human-caused environmental disasters. We predict that the alarm over forecasts of dangerous manmade global warming will, like previous similar alarms, result in harm.

Number of Pages in PDF File: 12

Keywords: DDT, decision making, evidence-based forecasts; global cooling; lobby groups; popular movements; precautionary principle; public policy; scenarios

JEL Classification: C53, N4, N5, I18, K32, L51, N4


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Date posted: August 9, 2010 ; Last revised: August 15, 2015

Suggested Citation

Green, Kesten C. and Armstrong, J. Scott, The Global Warming Alarm: Forecasts from the Structured Analogies Method (March 31, 2011). Available at SSRN: https://ssrn.com/abstract=1656056 or http://dx.doi.org/10.2139/ssrn.1656056

Contact Information

Kesten C. Green
University of South Australia - UniSA Business School ( email )
GPO Box 2471
Adelaide, SA 5001
Australia
+61 8 83012 9097 (Phone)
HOME PAGE: http://people.unisa.edu.au/Kesten.Green
Ehrenberg-Bass Institute for Marketing Science ( email )
Australia
HOME PAGE: http://www.marketingscience.info/people/KestenGreen.html
J. Scott Armstrong (Contact Author)
University of Pennsylvania - Marketing Department ( email )
700 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104-6340
United States
215-898-5087 (Phone)
215-898-2534 (Fax)
HOME PAGE: http://marketing.wharton.upenn.edu/people/faculty/armstrong.cfm

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