Title |
The Universal Plausibility Metric (UPM) & Principle (UPP)
|
---|---|
Published in |
Theoretical Biology and Medical Modelling, December 2009
|
DOI | 10.1186/1742-4682-6-27 |
Pubmed ID | |
Authors |
David L Abel |
Abstract |
Mere possibility is not an adequate basis for asserting scientific plausibility. A precisely defined universal bound is needed beyond which the assertion of plausibility, particularly in life-origin models, can be considered operationally falsified. But can something so seemingly relative and subjective as plausibility ever be quantified? Amazingly, the answer is, "Yes." A method of objectively measuring the plausibility of any chance hypothesis (The Universal Plausibility Metric [UPM]) is presented. A numerical inequality is also provided whereby any chance hypothesis can be definitively falsified when its UPM metric of xi is < 1 (The Universal Plausibility Principle [UPP]). Both UPM and UPP pre-exist and are independent of any experimental design and data set. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 11% |
United States | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 1 | 11% |
Unknown | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 5% |
United States | 1 | 5% |
Argentina | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 45% |
Student > Ph. D. Student | 3 | 15% |
Other | 2 | 10% |
Lecturer | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 3 | 15% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 30% |
Computer Science | 4 | 20% |
Medicine and Dentistry | 2 | 10% |
Social Sciences | 2 | 10% |
Physics and Astronomy | 1 | 5% |
Other | 3 | 15% |
Unknown | 2 | 10% |