Anything Goes, Paul Karl Feyerabend's Argumentation in "Against Method".
German, 2007Product details
Study paper from 2003 in the field of Philosophy - Theoretical (Epistemology, Science, Logic, Language), University of Zurich (Philosophical Seminar), course: Philosophical Rebels, 15 sources in the bibliography, language: German. Abstract: Paul Karl Feyerabend was an unknown figure to me until early 1994. As I learned about his life, work, intellectual cosmos, and passing through various mass media, there were several interesting key terms that encouraged me to conduct further research. His unconventional way of illuminating the scientific enterprise piqued my interest. The newspaper reports and texts I consumed suggested an extraordinary and provocative thinker whose ideas were the subject of controversial debate. This thinker accompanied me throughout my time at university; precisely for that reason.
Subtopic | Philosophy |
Language | German |
Year | 2007 |
Number of pages | 32 |
Book cover | Paperback |
Item number | 7250126 |
Publisher | Grin |
Category | Non-fiction |
Release date | 12.1.2018 |
Subtopic | Philosophy |
Language | German |
Year | 2007 |
Number of pages | 32 |
Edition | 1 |
Book cover | Paperback |
Compare products
Goes with
Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Non-fiction» category have a defect within the first 24 months?
Source: Galaxus- GrinNot enough data
- 1.Albin Michel0 %
- 1.Beck C.H.0 %
- 1.Bergli Books0 %
- 1.Bloomsbury0 %
Statutory warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Galaxus- GrinNot enough data
- Abrams & ChronicleNot enough data
- Albin MichelNot enough data
- AnacondaNot enough data
- Beck C.H.Not enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Non-fiction» category returned?
Source: Galaxus- GrinNot enough data
- 1.Anaconda0 %
- 1.Bloomsbury0 %
- 1.Herder0 %
- 1.Klett-Cotta0 %