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The Efficacy of Different Methods for Informing the Public About the Range Dependency of Magnetic Fields from High Voltage Power Lines
Author(s) -
Read Daniel,
Morgan M. Granger
Publication year - 1998
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.1998.tb00373.x
Subject(s) - suspect , dependency (uml) , magnetic field , power (physics) , psychology , quality (philosophy) , line (geometry) , range (aeronautics) , computer science , cognitive psychology , social psychology , physics , mathematics , artificial intelligence , engineering , quantum mechanics , aerospace engineering , geometry , criminology
The AC electric and magnetic fields associated with high voltage power lines have become a concern as a possible health risk. In most cases the strength of these fields decreases as the inverse square of the distance from the line. In earlier work, we found that laypeople do not understand how rapidly field strength decreases with distance. Most believe that any high voltage power line they can see is exposing them to strong fields. This paper confirms the earlier finding and explores a number of strategies which might be used in risk communications to correct this misperception. We found it relatively easy to provide subjects with a better understanding of the range‐dependency of magnetic field strength. Moreover, the quality of this acquisition was apparently independent of the manner in which they were instructed. Such successful instruction is markedly different from the well‐established difficulty of teaching people about many qualitative domains, such as physics or ideas in probability. Clearly, while some erroneous beliefs are highly resistant to change, others can be altered quite readily. We suspect that an important distinction between knowledge about the range‐dependency of power‐frequency magnetic fields and less tractable topics involves the presence or absence of prior folk‐theories or “mental models” of the domain.

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