Measuring the Hubble Constant: The Tension

Measuring the Hubble Constant: The Tension

Knowledge Ark · Universe · Chapter 10 / Article 07

One universe. An unresolved rate.

How quickly is the universe expanding today? Astronomers can approach the question through nearby stars or the ancient light of the early universe. Their most precise answers have proved difficult to reconcile.

Cosmic distancesEarly lightAn open question
Cosmic expansion Changing separations between unbound galaxies. Measuring the space betweenEarlierLaterSpace expands between unbound galaxies.The galaxies are not simply stretched.Schematic • Not observed data
Expansion changes large-scale separations. Bound galaxies do not simply grow in proportion to the cosmic scale factor.[1]
The same present dayBoth routes estimate H₀ today, even when their evidence comes from different epochs.
Calibration mattersA measured brightness or angular scale needs a physical reference.
A tension is a testA disagreement challenges measurements and models without identifying the cause by itself.
Measuring the Hubble Constant: The Tension

Why should the answer depend on the route?

Imagine estimating the same distance with two carefully calibrated instruments—and finding that their answers remain apart as the measurements improve. The Hubble tension presents a cosmic version of that problem.

It is a disagreement between ways of determining the present expansion rate. Understanding it means following how observations become distances, where physical assumptions enter, and which measurements offer genuinely different checks.

01
A rate at the present epoch

What does the Hubble constant measure?

The Hubble parameter, H(t), describes the fractional growth rate of the cosmic scale factor: H(t) = ȧ/a. The subscript in H₀ means its value today. Despite the word “constant,” H generally changes over cosmic history. Comparing H₀ estimates is therefore different from comparing the expansion rate at two different times.[1]

v ≈ H₀d

At low redshift, recession speed is approximately proportional to distance. If H₀ were 70 km/s/Mpc, a galaxy following the smooth expansion at 100 megaparsecs would recede at about 7,000 km/s. This is an illustrative value. One megaparsec is about 3.26 million light-years.[2]

Individual galaxies also move under the gravity of their surroundings. These peculiar velocities complicate the conversion from redshift to expansion, especially nearby. Cosmologists account for them when selecting and analyzing the galaxies used to estimate H₀.[3]

02
Building outward from geometry

How the distance ladder works

The nearby route begins with distances that can be calibrated geometrically, then connects them to brighter objects farther away. Several foundations help check the scale:

  • Milky Way parallaxes: the apparent annual motion of nearby stars provides distances. Cepheid brightnesses can then be calibrated, with instrumental parallax offsets included.[4]
  • Eclipsing binaries in the Large Magellanic Cloud: orbital measurements constrain stellar sizes; a calibrated surface-brightness relation supplies angular sizes. Comparing physical and angular size gives a distance.[5]
  • Water masers in NGC 4258: radio measurements track gas orbiting a central black hole. The disk’s positions, velocities, and accelerations constrain the galaxy’s distance.[6]

Cepheid variables connect their pulsation periods with luminosity. Once calibrated, Cepheids in galaxies that hosted Type Ia supernovae help establish those supernovae’s absolute brightnesses. Metallicity and dust corrections are part of this process.[7]

Type Ia supernovae are standardizable candles: their brightnesses are corrected using light-curve shape, color, and other measured properties. The calibrated relation supplies distances to a more distant sample, where smooth expansion is easier to separate from local motions. Uncalibrated supernova brightnesses alone give relative distances, not an absolute H₀.[8]

Two routes to present-day expansion Both methods infer the present Hubble constant, using different evidence and assumptions.Different evidence. The same H₀.Both routes estimate the expansion rate today.DISTANCE LADDERCMB + COSMOLOGYGeometric anchorsCalibrated starsType Ia supernovaeCMB patternsEarly-universe physicsExpansion modelOut into the Hubble flowFor example: flat ΛCDMPresent-day H₀Methods compared at the same cosmic time
The two routes use different information to infer the same present-day quantity.[9]
03
From an ancient pattern to today

How the CMB gives a present-day answer

The cosmic microwave background contains acoustic patterns from the early universe. Their spacing and relative strengths constrain the primordial plasma and a characteristic sound-travel scale. A cosmological model connects that physical scale to its observed angle and the distance to last scattering. The fitted expansion history then gives H(z), including H₀ at z = 0.[9]

The usual reference is flat ΛCDM: general relativity with ordinary matter, cold dark matter, radiation, and a cosmological constant, in a spatially flat background. Planck’s commonly quoted H₀ result is an inference within that model, using temperature, polarization, and CMB lensing measurements.[10]

The investigation extends beyond one satellite. ACT’s 2025 DR6 analysis compared temperature and polarization measurements across instruments and angular scales. Its combined ACT–Planck fit, including CMB lensing and DESI DR2 baryon acoustic oscillations, gave 68.43 ± 0.27 km/s/Mpc within flat ΛCDM. This is a joint result, not an ACT-only measurement or a model-free answer.[11]

04
Values, error bars, and assumptions

How large is the disagreement?

A useful benchmark compares Planck’s 2018 results with the SH0ES team’s 2022 Cepheid–supernova analysis. These dated results make the central issue visible; they are not a complete inventory of current methods.

A benchmark comparison Historical Hubble-constant estimates and reported one-sigma intervals.A benchmark comparisonSelected published results • Not a complete censusPlanck 201867.4 ± 0.5Flat ΛCDM • TT, TE, EE + lowE + lensingSH0ES 202273.04 ± 1.04Cepheids + Type Ia supernovae65676971737577H₀ (km s⁻¹ Mpc⁻¹)Reported 68% (1σ) uncertaintiesBoth estimates refer to the present-day expansion rate.
Bars show the reported 68% uncertainties. Planck assumes base flat ΛCDM; the SH0ES uncertainty includes its systematic-error budget.[10], [7]

For these two values, treating the reported errors as independent and approximately Gaussian gives a separation of about 4.9 standard deviations. That calculation explains the familiar “roughly five sigma” description. It is conditional on the datasets, uncertainty estimates, and model being compared.

A significant disagreement does not identify its cause. A quoted sigma value cannot show whether an unrecognized calibration error remains or which new physical theory, if any, is needed. A different data combination can also give a different significance.

05
What improved observations can test

What do newer stellar measurements show?

JWST checks stellar crowding

Nearby stars can contaminate a Cepheid’s measured brightness, so crowding has been an important test. A 2025 SH0ES study used JWST observations, including an unusually sparse field in NGC 3447, to compare Cepheid distances with Hubble measurements. It found no crowding offset large enough to account for the tension. That tests a specific explanation; it does not eliminate every possible ladder systematic.[12]

Red giants offer another route

The tip of the red giant branch, or TRGB, marks an edge in the brightness distribution of low-mass red giants associated with core helium ignition. It can be measured in relatively uncrowded outer-galaxy fields. Its calibration still depends on population properties, field selection, and the adopted distance anchor.[13]

The revised 2025 Chicago–Carnegie Hubble Program report obtained H₀ = 70.39 km/s/Mpc from its adopted HST-plus-JWST TRGB analysis, with separate uncertainties of ±1.22 statistical, ±1.33 systematic, and ±0.70 from supernova calibration. With this broader error budget, the result is statistically compatible with both benchmark determinations. This result belongs to a particular analysis, rather than being the universal answer from red giants.[13]

Carbon-rich giant stars provide the JAGB method, another developing distance indicator. Analyses do not all return a low H₀: the choice of stellar fields and the way their brightness distributions are summarized can alter the calibration. Comparing the same galaxies with different indicators is especially useful for finding such differences.[14]

A Local Distance Network report released in 2025 combined several indicators at the level of their connected measurements and obtained 73.50 ± 0.81 km/s/Mpc. It accounted for shared calibration uncertainties, rather than simply averaging published H₀ values. Because it incorporates existing observations, its result is not an additional independent vote beside those observations.[15]

06
Following a calibrated cosmic ruler

What do BAO add to the picture?

Baryon acoustic oscillations preserve a characteristic scale in the distribution of matter. Measuring that scale across redshift constrains distance and expansion relative to the ruler’s physical length, usually written rd. This is the sound horizon at the baryon-drag epoch, slightly later than the last-scattering epoch used for the main CMB acoustic scale.[16]

The inverse distance ladder combines a calibrated early ruler with BAO and relative supernova distances to work toward the present. BAO alone leave an important degeneracy between H₀ and rd. A physical calibration—through a cosmological model and CMB information, or through primordial-element abundances with standard early-universe assumptions—is needed to infer an absolute H₀.[17]

Independent observations can share physical assumptions. Avoiding Planck’s temperature-anisotropy data does not automatically make an analysis independent of early-universe physics. The ruler’s calibration remains part of the inference.[17]

07
Different ways to obtain a distance

Which cross-checks use other foundations?

The strongest cross-checks change the source of the absolute distance scale. Their usefulness depends on what they measure independently and what uncertainties they retain.

Different observables, different limitations
Method Where distance comes from What still needs care
Megamaser galaxies Angular positions, Doppler velocities, and accelerations of radio-emitting gas Disk models and peculiar velocities; distinct from using NGC 4258 as a stellar anchor.[18]
Strong-lensing time delays Repeated quasar variations arriving along different light paths Lens mass, stellar motions, and foreground matter; no stellar-candle zero point is required.[19]
Gravitational-wave sirens Waveform-based luminosity distance under general relativity Binary orientation, detector calibration, and separate information about redshift.[20]
Surface-brightness fluctuations Pixel-to-pixel brightness fluctuations from unresolved stars Population modeling and the absolute zero point, which can share Cepheid or TRGB calibration.[21]

Modern TDCOSMO lensing analyses explicitly explore flexible mass profiles. Their inferred H₀ changes with the additional information used. For example, a supernova constraint on the shape of the expansion history can be included without importing the Cepheid-based absolute supernova calibration. Independence is therefore something to describe precisely.[22]

Standard sirens offer another promising route. When no unique host is identified, galaxy catalogs and source-population models can provide statistical redshift information. The LVK collaboration’s GWTC-4 cosmology analysis modeled these ingredients and selection effects, but its H₀ uncertainty remained broad enough to encompass the main competing values. It did not settle the disagreement.[23]

08
Testing causes, rather than choosing sides

What might explain the tension?

A remaining measurement or calibration issue

Dust, stellar populations, instrument calibration, supernova selection, and local motions all enter the distance inference. Several methods can move together if they share an anchor or calibration. Comparing indicators in the same galaxies and propagating their shared uncertainties helps distinguish a physical discrepancy from one inherited through the measurement network.[15]

Local structure is also testable. In standard ΛCDM simulations that reproduce uneven supernova sampling, the expected variation in locally inferred H₀ is much smaller than the benchmark gap. That makes ordinary local fluctuations an insufficient explanation in those models, while more extreme void proposals must face independent observational checks.[3]

New physics before recombination

Early dark energy is a proposed temporary energy component that increases the early expansion rate and reduces the sound horizon. A smaller ruler can allow a higher inferred H₀ while retaining the measured acoustic angles. But the same change also affects other CMB features and the growth of matter structure, which must remain consistent with observations.[16]

The verdict depends on the model and analysis. A 2025 study combining ACT DR6 and DESI DR2 found early dark energy remained a viable candidate; its preference depended on dataset choices, statistical treatment, and whether SH0ES information was included. A fit that uses the high local value as an input is not an independent prediction of that value.[24]

A broader change to the expansion model

Modified radiation content, neutrino interactions, recombination physics, or late-time dark energy can change cosmological inferences. Moving H₀ alone is not enough: a successful explanation must also reproduce the measured acoustic structure and distance–redshift relation. Late-time changes face the additional requirement of remaining consistent with the calibrated BAO ruler.[9]

09
What would count as progress?

A solution must explain the whole pattern

A persuasive resolution would do more than make two central values overlap. It would explain why the original analyses differed, survive tests with other observations, and give stable results when reasonable calibration and modeling choices are varied.

Does a higher H₀ automatically mean a younger universe?

The inverse, 1/H₀, is a useful timescale called the Hubble time. The actual cosmic age also depends on the full expansion history: t₀ = ∫0∞ dz / [(1 + z)H(z)]. Changing H₀ while changing the cosmological model does not uniquely determine a new age.[2]

The most useful progress comes from tighter connections between different observations: stellar distances checked in common hosts, sirens with better redshift information, lensing with better mass constraints, and acoustic measurements tested across instruments. Each reduces a different route by which an apparent discrepancy could arise.

Research checked: 8 September 2026. Numerical examples are labeled by their analysis and publication period; they should not be averaged as independent measurements.

Sources and further reading

Original research, scientific reviews, and official survey information. Checked in September 2026. The original schematics explain expansion and measurement routes. The comparison plot reproduces two explicitly dated published estimates.

  1. Davis & Lineweaver (2004) — Expanding ConfusionRelates cosmic expansion, the scale factor, recession, and redshift.
  2. Hogg (1999, revised 2000) — Distance Measures in CosmologyExplains Hubble units, distance conventions, and the expansion history needed to infer cosmic age.
  3. Wu & Huterer (2017) — Sample Variance in Local Hubble MeasurementsTests how local structure and uneven supernova sampling affect the inferred expansion rate.
  4. Riess et al. (2021), Cosmic Distances Calibrated to 1% Precision with Gaia EDR3 Parallaxes and Hubble Space Telescope Photometry of 75 Milky Way CepheidsMilky Way parallax provides a geometric starting point for the Cepheid luminosity calibration.
  5. Pietrzyński et al. (2019), A Distance to the Large Magellanic Cloud That Is Precise to One Per CentDetached eclipsing binaries supply a separate geometric anchor in the Large Magellanic Cloud.
  6. Reid, Pesce & Riess (2019), An Improved Distance to NGC 4258 and Its Implications for the Hubble ConstantWater masers orbiting the central black hole in NGC 4258 provide a geometric distance calibration.
  7. Riess et al. (2022), A Comprehensive Measurement of the Local Value of the Hubble Constant with 1 km/s/Mpc UncertaintyThe explicitly dated SH0ES 2022 Cepheid–supernova benchmark: H₀ = 73.04 ± 1.04 km s⁻¹ Mpc⁻¹, including systematics.
  8. Scolnic et al. (2022), The Pantheon+ Analysis: The Full Dataset and Light-Curve ReleaseType Ia supernovae become useful distance indicators after light-curve, color, selection and calibration corrections.
  9. Knox & Millea (2020) — Hubble Constant Hunter’s GuideShows how CMB acoustic features imply today’s expansion rate through a cosmological model.
  10. Planck Collaboration (2020) — Planck 2018 Cosmological ParametersThe benchmark 67.4±0.5 result assumes base flat ΛCDM and uses Planck temperature, polarization, and lensing.
  11. Louis et al. (2025) — ACT DR6 Power Spectra, Likelihoods and ΛCDM ParametersTemperature and polarization cross-checks extend beyond Planck; joint results depend on the selected datasets.
  12. Riess et al. (2025), The Perfect Host: JWST Cepheid Observations in a Background-Free SN Ia Host Confirm No Bias in Hubble-Constant MeasurementsJWST directly tests stellar crowding in the Cepheid distance ladder, including a particularly sparse field in NGC 3447.
  13. Freedman et al. (2025), Status Report on the Chicago-Carnegie Hubble Program: Measurement of the Hubble Constant Using the Hubble and James Webb Space TelescopesThe revised CCHP report uses TRGB and JAGB distances and illustrates why local methods cannot be summarized by a single universal number.
  14. Li et al. (2025), JAGB 2.0: Improved Constraints on the J-region Asymptotic Giant Branch-based Hubble Constant from an Expanded Sample of JWST ObservationsCarbon-rich giant stars provide another stellar distance indicator, with calibration and population effects still under study.
  15. H0DN Collaboration (2025), The Local Distance Network: A Community Consensus Report on the Measurement of the Hubble Constant at ~1% PrecisionA joint network analysis accounts for shared calibrations when combining local distance indicators.
  16. McDonough et al. (2023) — Observational Constraints on Early Dark EnergyExplains how a temporary early energy component changes the sound horizon and other observables.
  17. Addison et al. (2018) — BAO Measurements and the Hubble Constant DiscrepancyBAO constrain distance ratios; a physical ruler calibration is needed for an absolute Hubble constant.
  18. Pesce et al. (2020) — The Megamaser Cosmology Project. XIII. Combined Hubble Constant ConstraintsRadio observations of orbiting water masers provide geometric galaxy distances without a stellar luminosity ladder.
  19. Birrer et al. (2024) — Time-Delay Cosmography: Measuring the Hubble Constant and Other Cosmological Parameters with Strong Gravitational LensingRepeated brightness variations, arrival-time delays, and lens models together constrain absolute cosmological distances.
  20. Abbott et al. (2017) — A Gravitational-Wave Standard Siren Measurement of the Hubble ConstantThe GW170817 merger demonstrated an absolute-distance route using a gravitational waveform and a separately identified host galaxy.
  21. Blakeslee et al. (2021) — The Hubble Constant from Infrared Surface Brightness Fluctuation DistancesSurface-brightness fluctuations offer a different distance indicator, but their absolute scale can share Cepheid or TRGB calibration.
  22. TDCOSMO Collaboration (2025) — Cosmological Constraints from Strong-Lensing Time DelaysModern time-delay analyses combine lens images, stellar motions, and foreground structure while allowing flexible mass profiles.
  23. LIGO–Virgo–KAGRA Collaboration (2025) — GWTC-4.0: Constraints on the Cosmic Expansion Rate and Modified Gravitational-Wave PropagationModern siren analyses combine wave distances with statistical redshift information and explicitly model selection and population uncertainty.
  24. Poulin et al. (2025) — ACT DR6, DESI DR2, and Early Dark EnergyIllustrates how data choices and statistical methods change assessments of an early-dark-energy solution.
Continue exploring · Chapter 10

Cosmology and the Universe’s Large-Scale Structure

  1. Cosmic Inflation: Theory and Evidence
  2. The Cosmic Web: Filaments, Voids, and Superclusters
  3. The Cosmic Microwave Background’s Detailed Structure
  4. Baryon Acoustic Oscillations
  5. Redshift Surveys and Mapping the Universe
  6. Gravitational Lensing: A Natural Cosmic Telescope
  7. Measuring the Hubble Constant: The Tension · You are here
  8. Dark Energy Surveys
  9. Anisotropies and Inhomogeneities
  10. Current Debates and Outstanding Questions
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