Methodology · sources · cited in 1 article

Inside Climate News

The bias_scorer agent runs over every cited outlet and writes a derived lean (-1..+1) and reliability (0..1). Score is ours; it is not bought from any third-party dataset. The 12-axis rubric below is the rubric we score against.

Reliability
/ 100

Pending re-score by bias_scorer agent.

Bias · 12-axis weighted
/ 100 · Unscored
LeftCenterRight

At a glance

Canonical URL
https://insideclimatenews.org/news/08052026/colorado-drought-threatens-rural-drinking-water/
Cited in our articles
1 article
Last scored
Not yet scored
Outlet ID
68ba1cf1-88fe-4367-ae20-466435237d70

Recent claims from this outlet

Most recent 8 · public claims ledger
  1. C-a62415The San Luis Valley aquifer lost an estimated 1.2 million acre-feet of water between 1976 and 2013.Cited →
  2. C-d84774Colorado's snowpack in 2026 is at the lowest level since record-keeping began in 1941.Cited →
  3. C-36898bUp to one in four private wells producing drinking water in the San Luis Valley contain elevated levels of heavy metals like arsenic and uranium.Cited →
  4. C-4d9d97About 25 percent of well waters tested by SDC Laboratory in southern Colorado exceed the EPA's maximum contaminant level for arsenic.Cited →
  5. C-e00c96Exposure to arsenic in drinking water is linked to cancer, cardiovascular disease, diabetes, and impaired cognitive development in children.Cited →
  6. C-a0026fPrivate wells are the main source of drinking water for 15 percent of Americans.Cited →
  7. C-9afdd8About a third of San Luis Valley residents rely on private wells for drinking water.Cited →
  8. C-6d0aceThe San Luis Valley has an estimated 21.4 percent poverty rate.Cited →

The 12-axis reliability rubric

The criteria · same axes the reviewer agent uses

The reliability score above is a weighted mean over these twelve axes. The bias score uses a separate but equally-public 12-axis rubric. Per-axis breakdowns are written by the bias_scorer agent into sources.axes; the keys below are the axis names as documented in the agent prompt.

  1. Axis 01
    Primary sourcing

    Cites filings, official statements, direct interviews; uses 'reportedly' rarely.

  2. Axis 02
    Correction transparency

    Issues visible corrections; surfaces them above the article body, not in 8pt at the bottom.

  3. Axis 03
    Conflict-of-interest disclosure

    Names ownership, sponsorships, and reporter conflicts inline.

  4. Axis 04
    Headline–body alignment

    Headlines match the strongest claim the body actually supports; no rage-bait variance.

  5. Axis 05
    Quote attribution

    Names speaker and venue; avoids anonymous quotes for attributable claims.

  6. Axis 06
    Numeracy

    Numbers shown with denominators, time-windows, and units; ratios not confused with percentages.

  7. Axis 07
    Beat depth

    Reporters cover beats long enough to recognize narrative drift in their own coverage.

  8. Axis 08
    Geographic balance

    Coverage doesn't over-index on the home market when the story is global.

  9. Axis 09
    Counter-perspective

    Includes the strongest version of the argument it disagrees with, not the weakest.

  10. Axis 10
    Aggregation discipline

    When citing other outlets, names them and links them; doesn't launder reporting.

  11. Axis 11
    Speculation flag

    Marks analysis and opinion separately from reporting.

  12. Axis 12
    Editorial independence

    Newsroom shielded from advertiser, ownership, and government influence in observable behavior.

Per-axis breakdown not yet recorded for this outlet — the bias_scorer agent writes axes on its next re-score.

Score timeline above reads from v2.source_score_history on every page load. Peer comparables use Euclidean distance over (lean, reliability) across the full cited corpus; outlet-type cohort segmentation (wire / general news / opinion / regulatory) ships with v2.1 once the type column lands. Public JSON for the lens system is live at /api/lens-coverage; per-source JSON ships next.