Dear Ms. Rabb,
I hate to break bad news, but it appears that you have been taken in by a faulty “analysis” of the impact of wind turbines on nearby home prices. Just consider a few things:
1. Look at the “analysis” to find out how many of the homes were either within sight (visually) of the wind turbines, how many were affected by shadow flicker, and how many were within the range of the wind turbine noise. Arbitrary distances shown in the “analysis” may have little meaning. Recognize that many factors affect property values and only a few of those factors are used in the LBNL comparisons.
2. Recognize that homes that were NOT sold (because they couldn’t be or the value had declined to the point that the owner’s could afford to sell) that are within visual or noise distance are covered by the “analysis.”
3. Recognize the actions taken by governments in Europe to requirement payments to those living near wind turbines – to compensate for lost value.
4. Recognize that some companies wanting to build wind turbines have made deals with nearby property owners who, for a payment, give up their right to complain about noise or other ill-effects from wind turbines.
5. Recognize that some companies have bought out nearby property owners who have complained of the ill-effects of wind turbines.
6. Look up the court awards in Europe to owners of nearby properties because of loss of property value, degradation of quality of life, and/or “nuisance” impacts.
7. Check the literature for real-life stories on impacts on home values and quality of life due to wind turbines.
8. Look up the literature covering criticisms of Lawrence Berkeley “Laboratory’s” previous analyses of wind turbine impact on home values. For example see works by Michael McCann.
9. Approach the issue from a common sense point of view: Would you pay the same price for either of two identical homes if the only difference was that one was in close proximity to one or more wind turbines?
When you finish doing your homework, report your results to your listeners/viewers.
In the future, be a bit skeptical about the findings of analyses that are performed by organizations with a history of producing biased “analyses.”
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