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Chemical screening in the United States is often conducted using scoring and ranking methodologies. Linked models accounting for chemical fate, exposure, and toxicological effects are generally preferred in Europe and in product Life Cycle Assessment. For the first time, a comparison is presented in this article of two of the prominent, but structurally different methodologies adopted to help screen and rank chemicals and chemical emissions data. Results for 250 chemicals are presented, with a focus on 12 chemicals of interest in the United Nations Environment Programme's Persistent Organic Pollutants global treaty negotiations. These results help to illustrate the significance of described structural differences and to assess the correlation between the methodologies. The scope of the comparison was restricted here to human health, although the insights would be equally useful in the context of the health of ecosystems. Illustrating the current types of chemical screening and emissions comparison approaches, the relative significance of the scenario and structural differences of the Waste Minimization Prioritization Tool (WMPT) and the Toxic Equivalency Potential (TEP) methodologies are analyzed. The WMPT facilitates comparison in terms of key physical – chemical properties. Measures for Persistence, Bioaccumulation, and Toxicity (PBT) are calculated. Each PBT measure is scored and then these scores are added to provide a single measure of relative concern. TEPs account for chemical fate, multipathway exposure, and toxicity using a model‐based approach. This model structure is sometimes considered to provide a less subjective representation of environmental mechanisms, and, hence, an improved basis for screening. Nevertheless, a strong relationship exists between the two approaches and both have their limitations.

A third generation of environmental policy making and risk management will increasingly impose environmental measures, which may give rise to analyzing countervailing risks. Therefore, a comprehensive analysis of all risks associated with the decision alternatives will aid decisionmakers in prioritizing alternatives that effectively reduce both target and countervailing risks. Starting with the metaphor of the ripples caused by a stone that is thrown into a pond, we identify 10 types of ripples that symbolize, in our case, risks that deserve closer examination: direct, upstream, downstream, accidental risks, occupational risks, risks due to offsetting behavior, change in disposable income, macro‐economic changes, depletion of natural resources, and risks to the manmade environment. Tools to analyze these risks were developed independently and recently have been applied to overlapping fields of application. This suggests that either the tools should be linked in a unified framework for comparative analysis or that the appropriate field of application for single tools should be better understood. The goals of this article are to create a better foundation for the understanding of the nature and coverage of available tools and to identify the remaining gaps. None of the tools is designed to deal with all 10 types of risk. Provided data suggest that, of the 10 types of identified risks, those associated with changes in disposable income may be particularly significant when decision alternatives differ with respect to their effects on disposable income. Finally, the present analysis was limited to analytical questions and did not capture the important role of the decision‐making process itself.