Natural Sciences: Perspectives
Perspectives in Science
We have seen that different disciplines study different aspects of the natural world. But perspectives also exist within a single discipline — from competing interpretations of the same theory, disagreements about method, or from different social and cultural positions.
In physics, there are competing interpretations of dark matter, string theory, and quantum gravity. In biology, all scientists accept evolution — but disagree on what it means. Even in chemistry, there are different perspectives on what is “really happening” in a redox reaction.
Science is not perspective-free. The question is whether that is a problem.
Unity of Science and Pluralism
holds that because there is only one world, there can be only one true theory describing it. Multiple perspectives are unfinished business. This fits the notebook metaphor of knowledge.
holds that many different maps of the same territory are legitimate depending on purpose. Multiple overlapping theories that do not fully cohere — a patchwork quilt — are an honest description of how science actually works, not a failure.
is a striking illustration: light behaves as a wave in some experiments and as a particle in others. Quantum mechanics suggests that asking what light really is may simply be the wrong question.
Discomfort with perspectives in science may itself be a perspective — the unity of science perspective.
Falsificationism
(Karl Popper): scientists should not try to confirm hypotheses but to falsify them. No matter how many confirming instances you have, one counterexample disproves a universal claim. Therefore science should try to prove hypotheses wrong.
In practice, scientists formulate a (H₀: no relationship between variables) and attempt to falsify it. Only by showing H₀ is false can the experimental hypothesis be provisionally accepted.
Three problems with Popper
1. Self-refutation. The falsifiability principle is itself not falsifiable. By its own standards, it is meaningless.
2. The . Hypotheses cannot be tested in isolation. Every experiment also relies on es — assumptions about equipment, the theory behind the apparatus, and so on. A failed result can always be blamed on an auxiliary hypothesis rather than the main hypothesis. No single hypothesis can be definitively falsified by a crucial experiment.
3. Stubborn theorists. In practice, scientists do not immediately abandon theories in the face of contrary evidence — and they probably should not. Abandoning a theory carries enormous costs. An is treated as a puzzle to solve, not a refutation to accept.
Challenges of Observation
Scientific observation is not the neutral, passive recording of facts implied by the textbook scientific method.
Practical challenges: mastering instruments requires procedural knowledge beyond theoretical understanding, measurements can be distorted by expectations, and even the most sophisticated equipment can malfunction.
: to know which variables to observe, we need to know which are relevant — but to know that, we need to know the answer we’re investigating. Observation is always guided by prior theory.
observation and : all observations are structured by prior concepts and expectations. We do not passively receive data from the world — we see things as something. “There is no such thing as immaculate perception” (Nietzsche).
and : the act of observing a system changes it. In particle physics this is unavoidable in principle; in everyday measurement it must be minimised but never fully eliminated.
: a measurable tendency to weight confirming evidence more heavily than disconfirming evidence. It is a feature of human cognition that affects scientists as well as everyone else.
s: the unexamined starting points that get an investigation off the ground. If a background assumption is wrong, it can block the correct explanation for years.
These challenges do not undermine science. Replication and peer review are the corrective mechanisms — but correction can take a very long time.
The Socio-Cultural Perspective
Science is a social activity. Different social groups produce different perspectives, and systematic exclusion of those groups is not merely an ethical problem — it is an epistemological one. If the people who do science are systematically selected, the knowledge they produce will be systematically shaped by that selection.
The 17th-century Scientific Revolution was conducted overwhelmingly by men — and usually aristocratic men — not because women lacked ability, but because they were denied education, denied institutional membership, and denied publication.
Figures who contributed despite structural barriers: Ada Lovelace (first computer algorithm), Marie Skłodowska-Curie (Nobel Prizes in Physics and Chemistry — initially omitted from the 1903 nomination), Mae C. Jemison (first African-American woman in space), Katie Bouman (algorithm that produced the first image of a black hole), and Emmanuelle Charpentier and Jennifer Doudna (CRISPR-Cas9, 2020 Nobel Prize in Chemistry).
It is not only women. People with disabilities, ethnic minorities, and people from low socio-economic backgrounds are consistently underrepresented. Most major research centres are in Europe, the US, China, and Japan.
What is the role of political power in the pursuit of knowledge?
If the people who do science are not representative of humanity, the agenda of science — what problems get studied, what questions get funded — will reflect that bias.
Deeper Challenges
: induction — drawing general conclusions from particular cases — is the fundamental reasoning tool behind all scientific laws. No finite number of confirming observations can establish a universal claim with certainty; a counterexample is always possible. The problem cannot be solved; it can only be managed.
: many entities central to natural science cannot be observed even in principle — gravitational fields, energy as such, quarks. Anti-realists argue these are useful fictions that do not exist. Realists respond that it would be a miracle if theories about unobservable entities made accurate predictions but those entities did not exist (the no-miracles argument). Neither side has definitively won.
To what extent is science actually empirical in the strict sense? Perhaps it is only loosely empirical — which means the gap between science and other areas of knowledge is smaller than its reputation suggests.