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Latest comment: 5 years ago3 comments2 people in discussion
This section that follows all needs to be marked as from the publisher's description of the book on Amazon (http://www.amazon.com/Experimental-Knowledge-Science-Conceptual-Foundations/dp/0226511987). This is still plagiarism: "On page 4 of the first chapter, Mayo points out that "learning from error itself is fraught with too much risk of error" [2]. Mayo argues that we still haven't even started to learn enough about experimental knowledge. Error and the Growth of Experimental Knowledge gives a critique of the subjective Bayesian probability of statistical inference; proposing Mayo's own error-statistical approach as a framework.
Mayo reports the needs of researchers who work with statistical analysis. Through this, she engages the philosophical problems of rationality. Learning from error, is another point that she argues; as well as detecting logical conflicts. She gives her complete program for how we learn about the world. Amazon gives the description of the her work by saying, "Her tough, practical approach will be important to philosophers historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis."[3]"
This article was the subject of an educational assignment in 2013 Q1. Further details were available on the "Education Program:University of Cincinnati/Philosophy and Women (Summer 2013)" page, which is now unavailable on the wiki.