Bringing Cinderella to the Ball: Teaching Criminal Law in Context

Alan Norrie, Crime, Reason and History: A Critical Introduction to Criminal Law , London: Weidenfeld & Nicolson, 1993, xx + 279 pp, pb £16.95.     

Budgetary Consequences of Selling Federal Power Assets

This article reports on an analysis of the long-term budgetary effects of selling federal power programs at market value. The analysis looks at changes in future budgetary receipts and costs for power operations and at changes in future federal taxes as a result of new ownership. Under current rate-setting policy, federal agencies must generate a future operating surplus (and hence, budgetary income) worth about $46 billion in today's dollars to repay past capital investments. With optimistic assumptions about rising power rates, market values for all federal power assets (including the power-generation assets of the Bureau of Reclamation and the Corps of Engineers) could be as high as $62 billion. In that case, their sale would produce long-term budgetary savings of about $16 billion, in today's dollars. The analysis also notes that budgetary savings are not a measure of the gains in economic efficiency from privatization. Such considerations as efficiency or fairness to particular groups will be important in any debate about the future of federal power programs.     

Stable isotope analysis of white paints and likelihood ratios

Architectural paints are commonly found as trace evidence at scenes of crime. Currently the most widely used technique for the analysis of architectural paints is Fourier Transformed Infra-Red Spectroscopy (FTIR). There are, however, limitations to the forensic analysis of white paints, and the ability to discriminate between samples.Isotope ratio mass spectrometry (IRMS) has been investigated as a potential tool for the analysis of architectural white paints, where no preparation of samples prior to analysis is required. When stable isotope profiles (SIPs) are compared, there appears to be no relationship between paints from the same manufacturer, or between paints of the same type. Unlike existing techniques, IRMS does not differentiate resin samples solely on the basis of modifier or oil-type, but exploits additional factors linked to samples such as geo-location where oils added to alkyd formulations were grown. In combination with the use of likelihood ratios, IRMS shows potential, with a false positive rate of 2.6% from a total of 1275 comparisons.