Scientific Antirealism:
Theories and Contemporary Examples

Scientific antirealism occupies a special place in the philosophy of science, challenging the idea that scientific theories reflect objective reality. Instead, it argues that science is more focused on practical effectiveness and predictive power than on truth. This approach raises profound questions: How can we trust science if its primary goal is not truth but utility?

What is antirealism?

Antirealism in science argues that scientific theories are not accurate descriptions of reality, but rather tools that help us navigate the world. A theory may be successful in making predictions, but that does not mean it is true.

• Functional nature of theories: Scientific concepts are created to solve practical problems, not to reveal metaphysical truth. For example, Bohr’s model of the atom remains useful for explaining some phenomena even if its structure is outdated.
• Temporality of knowledge: Scientific theories are subject to change. The history of science shows how one successful theory is replaced by another, often radically different one.

This approach allows scientists to focus on achieving results, but it challenges our understanding of the nature of truth.

Arguments for Antirealism

Support for antirealism is based on several key arguments.

• Historical argument: Many theories that were once considered true have been disproved. For example, Ptolemy’s geocentric model of the universe was long considered the undisputed truth until it was replaced by Copernicus’ heliocentric model.
• The observer problem: Any scientific observation depends on instruments and interpretation, making it impossible to obtain “pure” knowledge about reality.
• Pragmatic usefulness: The success of a scientific theory is not necessarily related to its correspondence to reality. For example, Newtonian mechanics is still used in engineering, although it has been superseded by Einstein’s more accurate theory of relativity.

These arguments show that science adapts to changing conditions rather than strives for absolute truth.

Criticism of anti-realism

Despite its strengths, antirealism has been criticized by realists who argue that science should strive for truth.

• Success of Science: Realists argue that the long-term success of scientific theories indicates that they correspond to reality. For example, the discovery of DNA and its role in heredity is more than just a useful theory.
• The Role of Empirical Testing: Scientific experiments confirm or disprove theories, which implies the existence of an objective reality to which these theories aspire.
• Epistemological risks: If we abandon the idea of truth, how can we distinguish reliable knowledge from erroneous? This could lead to a decrease in trust in science.

These questions highlight the need for a balance between pragmatism and the desire for objectivity.

Modern examples of antirealism

Antirealism manifests itself in various scientific contexts. Let’s look at some examples.

• Quantum Mechanics: Interpretations of quantum phenomena, such as the Copenhagen interpretation, often claim that quantum reality cannot be described in traditional terms. This creates space for anti-realist approaches, where theory is used to make predictions rather than explanations.
• Artificial Intelligence Models: Many machine learning algorithms operate as “black boxes,” making accurate predictions without explanation. This raises questions about how closely these models relate to reality.
• Climate modeling: Climate models are built on simplifications and assumptions that make them useful but not necessarily completely accurate.

These examples show that antirealism is not only a theoretical direction, but also a practical tool.

Is a compromise possible?

The interplay of realism and antirealism offers the prospect of an integrative approach. Perhaps science can strive for truth while simultaneously recognizing the limitations of our methods and models.

• Evolution of Theories: Even if theories are not absolute truth, they can be steps toward a more accurate description of reality.
• Hybrid approaches: Combining pragmatic usefulness and the pursuit of truth allows science to be flexible and reliable.
• Ethical aspects: Recognizing the limitations of science helps avoid abuses and strengthens public trust.

These ideas highlight the need for open dialogue between proponents of different approaches.

Scientific antirealism remains an important theme in the philosophy of science, offering a critical perspective on the nature of scientific knowledge. Engagement with realism will likely continue to shape the future of science, maintaining a balance between practical utility and the pursuit of truth.