Adam Riess explains why the universe’s expansion speed still won’t agree
Quanta’s Adam Riess breaks down the disagreement on expansion rates and what evidence could finally settle it.

Adam Riess discusses why scientists disagree about how fast the universe is expanding and what might resolve that tension. For decision-makers tracking scientific and technology signals, the takeaway is how one hard-to-measure constant can drive entire research roadmaps and funding priorities.
One of the biggest mysteries in cosmology has started to feel like a plot twist that refuses to end. Astronomers have known since the 1930s that the universe is expanding. Then, in the 1990s, they discovered something even more dramatic: the expansion is accelerating rather than slowing down. That meant the cosmos is not just stretching, it is stretching faster over time. And the shock of that acceleration is exactly why the disagreement matters.
In Quanta Magazine, Adam Riess dives into the core dispute over how fast the universe is expanding, and why it has persisted. The basic storyline is now familiar: once scientists realized acceleration needed an explanation, dark energy was proposed as the driver. Dark energy, in this framework, is the name we give to whatever physics makes the expansion accelerate. But the unresolved issue is measurement and interpretation. Different approaches to the “expansion speed” do not neatly land on the same answer, and that gap in results becomes a live scientific controversy instead of a closed chapter.
Why does a disagreement over cosmic expansion speed keep escalating? Part of the answer is that measuring the universe at the largest scale is a chain of steps. Each step links observable signals to distances and times, and each link can introduce uncertainty. The universe does not hand you a single number on a dashboard. It hands you photons, spectra, redshifts, and calibrations. Then the scientific community builds a ladder from nearby measurements to distant ones. If any rung on that ladder is off, the final estimate for the expansion rate can shift.
That is also why the stakes go beyond astronomy trivia. When you hear “dark energy,” it sounds abstract, but it is really shorthand for a decision about what kind of physics the next generation of experiments must pursue. If the measured expansion rate points strongly in one direction, that pressures models to match. If it points the other way, researchers must either rethink assumptions or examine whether systematics, not new physics, are creating the mismatch. In other words, the disagreement can shape the allocation of effort, the design of instruments, and the prioritization of surveys.
Riess’s discussion focuses on why this is contested and what could resolve it. The resolution is not just a matter of collecting more data, although more data helps. It is also about cross-checking methods against one another so that the same cosmic quantity is measured through independent routes. When cosmology is working, the estimates from different techniques converge. When it is not, the divergence is a clue. Sometimes the clue is “new physics.” Other times it is “the measurement process is lying to us in a systematic way.” The challenge is that both explanations are plausible enough to keep experts busy.
In market terms, think of it like a proxy valuation problem where multiple models should agree but do not. Boards and investors do not just ask for a number. They ask which assumptions drive the difference, how sensitive the result is, and whether there is a credible way to test the assumptions. Cosmology behaves similarly, except the “assumptions” are calibration choices and the “test” is new observational capability. The universe’s expansion rate disagreement functions like a stress test for scientific inference.
Second-order effects show up in research governance and funding. Large observational campaigns involve long planning cycles, big budgets, and coordination across institutions. If teams believe the field is close to resolution, they may accelerate instrument development or schedule new surveys. If teams believe the disagreement is stubborn, they may diversify with alternate methodologies rather than doubling down on one approach. That is a board-level style decision: do you concentrate resources where you think the winning explanation is, or do you spread risk across competing measurement paths?
The strategic stakes for people in adjacent roles, whether you are tracking science policy, technology roadmaps, or the emergence of measurement-driven innovation, are straightforward. The expansion rate is not merely a cosmology metric. It is the type of constant that, if it stays inconsistent, forces the world to keep funding attempts to resolve it. And if it eventually converges, the resulting clarity can accelerate how the field interprets dark energy and what experiments should do next. Riess’s point, as framed in Quanta’s discussion, is that the disagreement is real and worth taking seriously, because it is exactly where the next breakthrough could live.
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