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Quarterly national GDP release

UK Office for National Statistics — GDP bulletins

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Epistemic Completeness Score — 76% · High Completeness

Verdict

The release is methodologically transparent: revision policy is stated, confidence in the estimates is discussed, and the quarter is explicitly framed as a first estimate. The main omission is contextual rather than statistical — the headline quarter-on-quarter figure is presented without the per-capita, sectoral or price-deflator context that would change how a general reader interprets it. The document does what it promises; the risk is in how the single headline number travels once detached from the bulletin.

Metric: Quarterly real GDP growthTimeframe: Single quarter, first estimateScope: National economyRuntime: 19.9s

01 / Boundary

Boundary sensitivity

72

Would shifting the start or end date change the trend?

The quarterly window is the declared purpose of the release and revisions are disclosed. No alternative window is shown alongside the headline, so a reader cannot see how the trend changes over a year.

Baseline used
Previous quarter, chained-volume measure
Defensible alternative
Year-on-year and pre-pandemic comparisons are available in the data tables but absent from the headline narrative

02 / Confounders

Confounder accounting

74

Which secondary drivers went unmentioned?

Population growth, sector composition and price effects are in the tables but not in the headline framing.

  • —Per-capita adjustment absent from the headline figure
  • —Sectoral composition of growth not summarised in the headline

03 / Uncertainty

Uncertainty fidelity

84

Were confidence intervals and caveats preserved?

Revision policy and estimate quality are stated plainly — a strong feature of official statistics releases.

Counter-perspectives

  • ONS — GDP data tables and revisions

    The underlying tables show that per-capita and annualised framings of the same quarter can tell a materially different story from the headline quarter-on-quarter figure.

    Office for National Statistics

  • Our World in Data — economic growth

    Long-run cross-country data illustrates how single-quarter readings diverge from trend measures, especially around turning points.

    Our World in Data

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