First-party data · Updated October 18, 2026
The Blind Spot Index
Every morning this brief lays the same news across ten political worldviews and records who showed up. This page turns that record into a number: how often each worldview was the blind spot, present nowhere on a story that most of the others covered.
From March 23, 2026 to October 18, 2026, across 143 briefs and 1080 story clusters, the Tech / AI worldview was the blind spot on 557 of 663 stories that at least half the ten worldviews covered. That is 84% of the broadly-covered news going out with that worldview absent.
Every worldview, ranked by how often it was the blind spot
Share of the 663 broadly-covered stories (covered by at least 5 of the ten worldviews) where each worldview was absent. The right-hand figure is how often that worldview covered a story at all, across all 1080 clusters, the context that explains the rank.
- Tech / AI 557 / 663 84% covered 16% of all stories
- Religious Right 343 / 663 52% covered 33% of all stories
- Communist / Far-Left 333 / 663 50% covered 36% of all stories
- Libertarian 278 / 663 42% covered 41% of all stories
- Democratic Socialist 199 / 663 30% covered 54% of all stories
- Identity 172 / 663 26% covered 57% of all stories
- Establishment / Center-Right 168 / 663 25% covered 57% of all stories
- MAGA / Populist Right 98 / 663 15% covered 73% of all stories
- Center / Nonpartisan 86 / 663 13% covered 76% of all stories
- Liberal Mainstream 62 / 663 9% covered 81% of all stories
The same ten, laid on the spectrum
The ranking above answers who goes missing most. This lays the identical numbers in ideological order, far left to religious right with the two cross-cutting lenses at the end, so the shape shows where on the spectrum the silence sits.
How the index is built
The number comes straight from the archive, with no model and no hand-scoring. A script reads every published brief, and for each story cluster it records which worldviews left a coverage receipt. Everything below follows from that one record.
- The unit
- A story cluster: one worldview comparison in one morning's brief. A running story counts once per day it appeared. The dataset holds 1080 clusters from 143 briefs, March 23, 2026 to October 18, 2026.
- Coverage
- A worldview covered a cluster when it appears in that cluster's coverage receipts, each tied to a named outlet and a cited article. Absence is the complement: a worldview not among the covering lenses had no coverage the brief could find for that story.
- Broadly covered
- A cluster covered by at least 5 of the ten worldviews, half the spectrum. There were 663 of them. Because a blind-spot worldview is absent, all 5 or more covering worldviews are different ones, so the plain reading holds: the worldview was missing from a story most of the room was in.
- The blind spot
- For each worldview, the count and share of those broadly-covered stories where it was absent. Ties keep spectrum order.
- Reproducible
- The tally is deterministic, so the same archive always yields the same table. It reflects coverage the brief recorded, not a claim about media beyond the sources it reads.
Frequently asked
What is the Blind Spot Index?
It is a first-party dataset from Unbiasable measuring how often each of ten political worldviews was the blind spot on the news: present nowhere on a story that at least half the ten worldviews covered. Across 143 daily briefs from March 23, 2026 to October 18, 2026, the Tech / AI worldview was the blind spot on 557 of 663 broadly-covered stories (84%).
How is a blind spot defined here?
A story cluster is broadly covered when at least 5 of the ten worldviews covered it. A worldview is the blind spot on such a story when it covered it nowhere the brief could find. The rate is the share of broadly-covered stories where that worldview was absent.
Does a high blind-spot rate mean a worldview has nothing to say?
No. The index measures what the brief captured across the 72 newsrooms it reads, not all media everywhere. A worldview read through fewer or narrower outlets, especially the cross-cutting Tech / AI and Identity lenses, goes silent on more general stories by volume, not by choice. The number is a statement about coverage in this dataset, not a judgment of the worldview.
How is the index calculated, and is it reproducible?
It is computed by a deterministic script that reads every published brief in the archive, records which worldviews covered each story cluster, and counts the absences on broadly-covered stories. There is no model, no sampling, and no manual scoring, so the same archive always yields the same numbers. It covers 1080 story clusters across 143 briefs.
First-party data
This index is built from the daily brief.
Every morning it records who entered the argument and which consequential stories went unseen. Read it free.
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