Claim

Among countries larger than 50,000 km² in the study, Germany had the highest precipitation-gauge density at 22.4 gauges per 1,000 km².

Type QUANTITATIVE · truth-evaluable: yes · status at snapshot: ACTIVE · created seq 23193

a comma-separated series may list several propositions

Referenced 128 times: checked 2, looked up by assistants 0, viewed 96, shared 30. A count of attention, not evidence.

Topics

Environment · 1efd24fe Earth science · 1efd24fe

Assessment

Supported

Score: 0.8581 under ledger-default@0.3.0 at snapshot 27745

3 of 4 review checks done · 1 counted · 2 by the author only

1 independent evidence lineage · review checks 1 of 4 · stability MEDIUM

Main unresolved issue: 6 counted evidence items have no independence review; repeats of one origin may be counted as several coverage:e09fcb2f-a347-8aef-be25-cc6961b415da

Not yet independently audited.Evidence reviewed so far supports this claim, but only 1 of 4 review checks has been done.Every quoted passage was confirmed on the page when Galedra fetched it.

Why?

Strongest counted support: The JRC publication record reports Germany leading countries over 50,000 km² at 22.4 gauges per 1,000 km². weight 1.800000 evidence

Suppressed as dependent: The supplied passage directly reports Germany leading countries over 50,000 square kilometers at 22.4 gauges per 1,000 square kilometers.

Review gaps: qualifiers reviewed, opposing search done, independence reviewed

What would most change this: One independent, direct measurement that contradicts this claim would move it from Supported to Unresolved.

Hide calculation

0.8581 under ledger-default@0.3.0 at snapshot 27745 · state Supported · Review checks: 1 of 4 · stability MEDIUM · 6 sources, 1 independent lineage

Model ledger-default@0.3.0 (the default model, not the answer) · snapshot 27745 · trace sha256:90f5f09a58a6149eb428ff074b022e58cac5d659d025ff844b2e3147b7bcfc8e

Last changed at entry seq 24413; nothing logged since has borne on this claim.

How the number was reached

Each counted link is weighed by multiplying the factors the model declares; a factor it does not declare is not shown. Every factor name below links to what that number means.

Link	Working	Weight	Counted as
cdd3ce5d support	relevance DIRECT 2.0 × observation DATASET_RESULT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
03d674dc qualify	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (non directional)
30282250 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000
a60f7da3 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance INDEPENDENT 1.0 × edition NAMED_OR_UNRELATED 1	1.800000	1.800000
bce8b3dd support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000 (dependent strongest only, kept cdd3ce5d)
fb930af6 support	relevance DIRECT 2.0 × observation DIRECT_TEXT 0.9 × interpretation 0 steps, 1 − 0.15 × 0 1.000000 × authenticity UNVERIFIED 1.0 × extraction UNVERIFIED 1.0 × provenance SELF 0.0 × edition NAMED_OR_UNRELATED 1	0.000000	0.000000

prior 0.50 → log-odds 0.000000 + 1.800000 (the counted weights) = 1.800000 → probability 0.8581

Under neighbouring settings of the same model: 0.7790 to 0.9121, a spread of 0.1331.

Half-even rounding, six places for weights and four for the probability. The same inputs under the same model reproduce this exactly; that is what the trace hash above is for. How a score is worked out explains every factor, why it is there, and what the model sets it to.

Your view

Registered views

Nobody has registered a view yet.

Registered views are personal belief, not evidence: they never change Galedra's assessment. Affiliations are self-declared and shown only for groups of 5 or more.

Checked as part of

Statements this claim was broken out of. The claim is scored on its own; a statement's reading only counts its claims.

“Among countries larger than 50,000 km² in the study, Germany had the highest precipitation-gauge density at 22.4 gauges per 1,000 km².” · 1 claim · 29 September 2026
“The Nature precipitation-network study compared gauge density across continents and larger countries.” · 2 claims · 29 September 2026

Evidence for

The study reports Europe at 2.4 gauges per 1,000 km² and Germany at 22.4 among countries over 50,000 km².

From Precipitation observing network gaps limit climate change impact assessment Read 2026-09-29 Relevance DIRECT Steps 0 Counted
The supplied passage directly reports Germany leading countries over 50,000 square kilometers at 22.4 gauges per 1,000 square kilometers.

From Precipitation observing network gaps limit climate change impact assessment Read 2026-09-29 Relevance DIRECT Steps 0 Counted

The excerpt exactly states the country-size threshold, country, and density.
The JRC publication record reports Germany leading countries over 50,000 km² at 22.4 gauges per 1,000 km².

From Precipitation observing network gaps limit climate change impact assessment Read 2026-09-29 Relevance DIRECT Steps 0 Counted

Institutional publication record; independence from the primary article should be audited.
The Nature study reports Germany leading countries over 50,000 square kilometres at 22.4 precipitation gauges per 1,000 square kilometres.

From Precipitation observing network gaps limit climate change impact assessment Read 2026-09-29 Relevance DIRECT Steps 0 Counted
The study states Germany and Austria lead station-density rankings among countries exceeding 50,000 square kilometres.

From Precipitation observing network gaps limit climate change impact assessment Read 2026-09-29 Relevance DIRECT Steps 0 Counted

Evidence against

None.

Qualifications

The country comparison uses 221,483 internationally exchanged gauges with 1900–2022 records and expresses density per 1,000 square kilometres.

From Precipitation observing network gaps limit climate change impact assessment Read 2026-09-29 Relevance DIRECT Steps 0 Counted

Specifies the observational population, record period, and density denominator underlying the country comparison.

Suppressed as dependent

Evidence	Group	Kept instead
a56d2cf9		cdd3ce5d

Inferences

Concluded from

None.

Used as a premise in

None.

An inference is interpretation, not evidence: it never changes the assessment of its conclusion. Each premise is a claim with its own evidence.

Threads

None. Threads are for disagreements about how a determination was made — a statement whose figures are not in the passage it rests on, two sources that may share an origin. Something about the world belongs in the evidence above.

Claim edges

None. Edges are stored and displayed; v0.1 does not propagate probability across them.

Review checklist

Review checks: 1 of 4

3 checks by this claim's own author, alongside the independent review above. 1 OPPOSING EVIDENCE SEARCH · 1 QUALIFIER CHECK · 1 EVIDENCE VERIFICATION. A check by the person who recorded a claim does not raise its review coverage.

Check	Done	By
qualifiers reviewed	no
opposing search done	no
independence reviewed	no
primary source reviewed	yes	cdd3ce5d, 03d674dc, 30282250, bce8b3dd, fb930af6

Summary

Supported. The main support is: The JRC publication record reports Germany leading countries over 50,000 km² at 22.4 gauges per 1,000 km². 9df34865

1 further item repeats the same origin and is not independent evidence. a56d2cf9

Qualifier: The country comparison uses 221,483 internationally exchanged gauges with 1900–2022 records and expresses density per 1,000 square kilometres. 1fc9ae05

A search for evidence in the opposing direction found something; see the counted evidence. b5a045f5

Review checks: 1 of 4. coverage:e09fcb2f-a347-8aef-be25-cc6961b415da

Generated by stub-v0.1; every sentence cites graph ids.

Contribution history

seq	event	detail
23193	APPENDED
23194	ACCEPT	AUTOMATIC_AFTER_VALIDATION
23201	LINK_EVIDENCE	by 1efd24fe (accepted)
23227	TASK_RESULT	by 1efd24fe (accepted)
23294	LINK_EVIDENCE	by 1efd24fe (accepted)
23722	TASK_RESULT	by 1efd24fe (accepted)
24412	TASK_RESULT	by 1efd24fe (accepted)

Score trace

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