Chapter 6 Extra Material
This chapter discusses related questions and topics not tackled in this course. As in any course, being exhaustive in the content taught to students is not feasible due to time constraints and the need for curricular coherence. Topics cannot be included merely for the sake of completeness, they must be introduced with clear context, purpose, and alignment with the program’s learning objectives. For this reason, several rich but complex philosophical debates are excluded from the core syllabus. These include Thomas Kuhn’s theory of scientific revolutions, the debate between realism and anti-realism, the Gettier problem, the pessimistic meta-induction, discussions on instrumentalism, and detailed philosophical debates over the aims of science.
While some of these ideas, such as instrumentalism or the plurality of scientific aims, are occasionally mentioned informally to enrich class discussion or highlight philosophical context, the course does not dedicate time to formally exploring them in depth.
For instance, Kuhn’s notion of paradigm shifts offers a compelling sociological view of scientific change, but properly integrating it would need extended dedication to the history and sociology of science. Similarly, the realism debate and the pessimistic meta-induction ask deep questions about whether scientific theories aim at truth or are merely useful fictions. The Gettier problem, while central to analytic epistemology, has little relevance for applied reasoning in data contexts. Likewise, instrumentalism, which treats theories as predictive tools rather than truth claims, could be a fruitful lens but would need to be introduced alongside contrasting positions to avoid confusion.
6.1 History of science
Although many historical examples are given to the students to illustrate the different chapters and topics addressed in this course, the history of science is not part of the course curriculum. However, we aim to include a rich but brief summary of the history of science as optional reading in further semesters of this course.
6.3 Thomas Kuhn and the idea of scientific revolutions
The Duhem problem points out that neither the confirmation nor falsification of a single hypothesis is as clear and unequivocal as it might be supposed to. Accounts of the nature of science, such as Thomas Kuhn’s view, diverge from inductivism and falsificationism, suggesting that the progress of science is not a continuous accumulation of knowledge imposed by observational evidence. They deny as well that scientists are purely critical rationalists prepared to renounce to their theoretical commitments when experiments contradict them.
Thomas Kuhn describes the history of science as periods of conservative scientific activity disrupted by revolutions, highlight the role of social factors in this process.
Many scholars see Kuhn’s view as motivating “social constructivism”, which understands scientific knowledge as a cultural product instead of the pure discovery of better and better approximation to the truth. According to the view of Thomas Kuhn, scientific theories are socially negotiated instead of purely determined by nature and experiments.
The strength of social constrictivism depends, therefore, on how much freedom is allowed for the construction of theories by the social factors affecting science. Social constructivists appeal to the underdetermination argument, as it shows that evidence is always compatible with multiple theories.
6.4 Gettier problems
The definition of knowledge is an ongoing debate among epistemologists. Although the three criteria from Plato are necessary conditions, they are not sufficient as there are situations that satisfy all these conditions and yet don’t constitute knowledge (see Gettier cases) but such cases are rather philosophical and will not be discussed during this course.
6.5 Realism and anti-realism
For now this will not be included as part of the course curriculum. For a short account of this topic, read Chapter 4 from (Okasha 2016).
6.6 Pessimistic meta-induction
One of the most compelling arguments against scientific realisms is the ‘Pessimistic meta-induction’ argument, by Larry Laudan. Instead of appealing to the undertermination argument, it appeals to history. Recalling Induction to the Best Explanation (IBE), there is a connection between the success of scientific theories and their truth, for which scientific realism offers the only, or the best, explanation of the progress of science. However, Laudan turns this argument around and argues that we have good reasons, by induction, for not believing in the existence of the theoretical entities described by our current theories (Ladyman 2012). Laudan then proceeds to enumerate a number of now abandoned theories that once had predictive and explanatory success (e.g. phlogiston, ether…).
“Therefore, we should not believe in the approximate truth or the successful reference of the theoretical terms of our best current theories”.
My personal take on this, is as follows: It is argued that from a future perspective we will criticise and debunk our current theories as we now do with past theories. However, for this to be true, we must necessarily assume that we will gain knowledge over time. Such knowledge will be used to debunk, improve or replace the previous theories. Notably, this knowledge will mostly be obtained thanks to prior theories. For instance, the rejection of luminiferous aether theory happened thanks to an experiment that was designed with the help of previous theories. Scientists follow their theories to their limits, and when found, they require theory reformulation or replacement. In the same way the Americas were found on the assumption that they would reach East Indies. Failures lead to new discoveries and theories are always under development, is not just theories what realists use as truth but rather all the knowledge that transcends in the process of developing theories, including, of course, the theories themselves.