Models can be developed to overcome this as an issue
Bias correcting modelling techniques could be used.
 
Agree that this is an issue but models can be developed to overcome it.
 
Bias correction modelling techniques could be used to calibrate the outcomes and this has been shown to work for ensemble weather predictions (e.g.Taylor, McSharry & Buizza, IEEE, 2009, IEEE Transactions on EnergyConversion, 24 (3), 775-782; Wind power density forecasting using ensemble predictions and time series models).
 
Listening to views is important and this needs to be taken into account. Weighting techniques could be developed to “de-crank” the responses and avoid NIMBY effects.
 
Immediately related elementsHow this works
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Crowdsourcing and multi-disciplinary risk assessment? »Crowdsourcing and multi-disciplinary risk assessment?
In Support of the Proposition »In Support of the Proposition
A platform is given to cranks and vested interests to push their views »A platform is given to cranks and vested interests to push their views
Disagree »Disagree
Models can be developed to overcome this as an issue
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