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Alexander Krauss

The limits of the sciences in identifying causes and scientific laws

Total Cost €


EC-Contrib. €






Project "Alexander Krauss" data sheet

The following table provides information about the project.


Organization address
address: Houghton Street 1
city: LONDON
postcode: WC2A 2AE

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-03-15   to  2019-03-14


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Scientists rarely question the scientific methods – and their related complex theory, strong assumptions and problematic quantitative techniques – used to generate the causes and laws in their particular scientific models, which is the guiding research question of this project. Better understanding the limits of using mathematical and statistical methods in science is important for research and policy, because these methods all lead to some degree of biased results and scientists using them often misguidedly claim to establish strong causal relationships. This research project will investigate the underlying assumptions of quantitative methods by critically assessing the leading, most cited academic studies across the sciences that all use some form of mathematical and statistical methods. By combining theoretical, methodological and empirical analysis, this research project will help disentangle the links between the actual methods applied by scientists and the causal effects and scientific laws they claim to identify in their models. Identified causes and laws need to always be understood in the context of the different methods used to express them. This research project thus aims to address the gaps in the literature on scientific methodology by providing insight and knowledge into the large set of important assumptions and limitations behind mathematical and statistical methods used to identify causes and scientific laws. By helping to increase awareness among scientists about these biases and constraints and by outlining ways to better combine multiple methods, this project also aims to help improve scientific practice. More broadly, it hopes to help improve how we understand scientific methodology and thus science and evidence-based policymaking.


year authors and title journal last update
List of publications.
2018 Alexander Krauss
Why all randomised controlled trials produce biased results
published pages: 312-322, ISSN: 0785-3890, DOI: 10.1080/07853890.2018.1453233
Annals of Medicine 50/4 2019-10-08

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