Related Experiment Video
Updated: Jan 28, 2026

External Cephalic Version: Is it an Effective and Safe Procedure?
Published on: June 6, 2020
Uncertainty in Widmark calculations: ABV variation in packaged versions of the most popular beers in the UK
Struan Reid1, Peter D Maskell2, Dawn L Maskell1
1International Centre for Brewing and Distilling, School of Engineering and Physical Sciences, Heriot-Watt University, Riccarton, Edinburgh, UK.
Abstract:
Forensic practitioners regularly use the Widmark equation to determine theoretical blood alcohol concentrations for use in cases involving alcohol. It is important with these calculations to determine the uncertainty associated with any result. Previous work has investigated the uncertainty in percent alcohol by volume (%ABV) from beers produced by small independent breweries in the UK but did not study the top selling beers in the UK. The top selling lagers and ales/bitters in the UK were identified by sales volume and the %ABV determined. These data was then used to determine the percent coefficient of variation (%CV) that should be used by forensic practitioners when constructing alcohol technical defence reports for use in forensic cases. These samples, from what may be described as 'big' brewers, were determined to have a smaller root mean square error (RMSE) (±0.1%v/v, n = 35), and %CV than those previously reported for beers produced by small, independent breweries in the UK. The results from this study shows that different RMSE's should be used for %ABV when determining the uncertainty of results from Widmark calculations depending if the drinks consumed have been from either 'big' brewers or small, independent breweries.
More Related Videos
Related Concept Videos
The Uncertainty Principle
Uncertainty in Measurement: Reading Instruments
DNA Packaging
What is Variation?
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
Chromatin Packaging
Uncertainty: Overview

