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Dark matter: should we be so sure it exists? Here's how philosophy can help.

The galaxy cluster Abell 520, with suspected dark matter highlighted in blue.  (Image credit: NASA)

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights.

Antonis Antoniou (opens in new tab), PhD candidate in Philosophy of Science, University of Bristol

It has been more than 50 years since astronomers first proposed "dark matter," which is thought to be the most common form of matter in the universe. Despite this, we have no idea (opens in new tab) what it is — nobody has directly seen it or produced it in the lab.

So how can scientists be so sure it exists? Should they be? It turns out philosophy can help us answer these questions.

Back in the 1970s, a seminal study by astronomers Vera Rubin and Kent Ford of how our neighbor galaxy Andromeda rotates revealed a surprising inconsistency between theory and observation. According to our best gravitational theory for these scales — Newton's laws (opens in new tab) — stars and gas in a galaxy should rotate slower and slower the further away they are from the galaxy's center. That's because most of the stars will be near the center, creating a strong gravitational force there.

Related: The history of the universe: Big Bang to now in 10 easy steps

Rubin and Ford's result showed that this wasn't the case. Stars on the outer edge of the galaxy moved about as fast as the stars around its center. The idea that the galaxy must be embedded in a large halo of dark matter was basically proposed to explain this anomaly (though others had suggested it previously). This invisible mass interacts with the outer stars through gravity to boost their velocities.

This is only one example of several anomalies in cosmological observations. However, most of these can be equally explained by tweaking the current gravitational laws of Newtonian dynamics and Einstein's theory of general relativity. Perhaps nature behaves slightly differently on certain scales than these theories predict?

One of the first such theories, developed by Israeli physicist Mordehai Milgrom in 1983, suggested that (opens in new tab) Newtonian laws may work slightly differently when there's extremely small acceleration involved, such as at the edge of galaxies. This tweak was perfectly compatible with the observed galactic rotation. Nevertheless, physicists today overwhelmingly favor the dark matter hypothesis incorporated in the so-called ΛCDM model (opens in new tab) (Lambda Cold Dark Matter).

This view is so strongly entrenched in physics that is widely referred to as the "standard model of cosmology." However, if the two competing theories of dark matter and modified gravity can equally explain galactic rotation and other anomalies, one might wonder whether we have good reasons to prefer one over another.

The graph shows the rotation velocity of stars and gas (vertical axis) as a function of their distance from the center (horizontal axis). Theory suggests we should get the graph marked 'expected by the visible disk,' but reality is different. (Image credit: wikipedia, CC BY-SA)

Why does the scientific community have a strong preference for the dark mater explanation over modified gravity? And how can we ever decide which of the two explanations is the correct one?

Philosophy to the rescue

This is an example of what philosophers call "underdetermination of scientific theory (opens in new tab)" by the available evidence. This describes any situation in which the available evidence may be insufficient to determine what beliefs we should hold in response to it. It is a problem that has puzzled philosophers of science for a long time.

In the case of the strange rotation in galaxies, the data alone cannot determine whether the observed velocities are due to the presence of additional unobservable matter or due to the fact that our current gravitational laws are incorrect.

Scientists therefore look for additional data in other contexts that will eventually settle the question. One such example in favor of dark matter comes from the observations (opens in new tab) of how matter is distributed in the Bullet cluster of galaxies, which is made up of two colliding galaxies about 3.8 billion light years from Earth. Another is based on measurements (opens in new tab) of how light is deflected by (invisible) matter in the cosmic microwave background, the light left over from the big bang. These are often seen as indisputable evidence in favor of dark matter because due Milgrom's initial theory can't explain them.

However, following the publication of these results, further theories of modified gravity have been developed (opens in new tab) during the last decades in order to account for all the observational evidence for dark matter, sometimes with great success (opens in new tab). Yet, the dark matter hypothesis still remains the favorite explanation of physicists. Why?

One way to understand it is to employ the philosophical tools of Bayesian confirmation theory (opens in new tab). This is a probabilistic framework for estimating the degree to which hypotheses are supported by the available evidence in various contexts.

In the case of two competing hypotheses, what determines the final probability of each hypothesis is the product of the ratio between the initial probabilities of the two hypotheses (before evidence) and the ratio of the probabilities that the evidence appears in each case (called the likelihood ratio).

Dark matter vs modified gravity, where Pr means probability. (Image credit: Author provided)

If we accept that the most sophisticated versions of modified gravity and dark matter theory are equally supported by the evidence, then the likelihood ratio is equal to one. That means the final decision depends on the initial probabilities of these two hypotheses.

Determining what exactly counts as the "initial probability" of a hypothesis, and the possible ways in which such probabilities can be determined, remains one of the most difficult challenges in Bayesian confirmation theory. And it is here where philosophical analysis turns out to be useful.

At the heart of the philosophical literature (opens in new tab) on this topic lies the question of whether the initial probabilities of scientific hypotheses should be objectively determined based solely on probabilistic laws and rational constraints. Alternatively, they could involve a number of additional factors, such as psychological considerations (whether scientists are favoring a particular hypothesis based on interest or for sociological or political reasons), background knowledge, the success of a scientific theory in other domains, and so on.

Identifying these factors will ultimately help us understand the reasons why dark matter theory is overwhelmingly favored by the physics community.

Philosophy cannot ultimately tell us whether astronomers are right or wrong about the existence of dark matter. But it can tell us whether astronomers do indeed have good reasons to believe in it, what these reasons are, and what it would take for modified gravity to become as popular as dark matter.

We still don't know the exact answers to these questions, but we are working on it. More research in philosophy of science will give us a better verdict.

This article is republished from The Conversation (opens in new tab) under a Creative Commons license. Read the original article (opens in new tab).

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Antonis Antoniou
PhD candidate in Philosophy of Science, University of Bristol

I am a PhD candidate in Philosophy of Science at the University of Bristol approaching the end of my studies.

I am mainly interested in questions about the philosophy and the methodology of modern physics. My thesis is titled 'Models, Data and Unobservable phenomena in Physics' and focuses on three main axes: (i) the relationship between models and background theories, (ii) the relationship between theoretical models and experimental data, and (iii) the observation of in principle ‘unobservable entities’ in physics, such as dark matter particles.

My current research is focused on the philosophy of dark matter and the debate between the proponents of the dark matter and theories of modified gravity. I am also interested in the philosophy of data and the ways in which the manipulation of big data via simulations and machine learning can lead to the development of new scientific theories.