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       <td id="bannertd2" height="60" width="100%" border="0" align="center" valign="middle" background="images/bannermiddle.gif" nowrap="true"><h1 class="banner">Risk</h1></td>
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<table border="0"><tr><td valign="top"><span xmlns="" class="title"><a href="files/science_risk.pdf" target="publications">Science and Risk: How Safe is Safe Enough?</a></span><br xmlns=""/><span xmlns="" class="source">Harpur Academic Review</span>,
       <span xmlns="" class="source">1992 </span><br/><span xmlns="" class="author">by <a href="http://www.houseofyin.com" target="publications">David Kane</a></span><p xmlns=""><span class="label">Abstract: </span><abstract>Risk is a difficult concept to measure and effectively use in decision making. 
This paper seeks to present the problems of risk decisions in order to present models 
that can be used to answer the question, How safe is safe enough?  First the basic terms 
in the study of risk are outlined. This is important because many of the terms are used 
interchangeably, and the distinctions between them are not always clear. The problems 
confronting those studying risk are discussed. There are three basic disparities that 
exist in the way risk is dealt with. There are differences: <ul><li>in the way risk is perceived</li><li>in the way risk is measured</li><li>between these perceptions and measurements</li></ul> 
These variations will each be discussed in turn, in order to understand the dilemmas they 
create for policy makers. The resolution of these dilemmas is the subject of the last 
section of the paper. A model is presented that incorporates the perspective of both 
science and the public. It calls for science to provide risk assessment along with 
confidence intervals for their assessments. This puts the value decisions of safety 
into the hands of policy makers.</abstract></p></td><td valign="top"/></tr></table>
     
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