Transcript: Sen. Elizabeth Warren on "Face the Nation with Margaret Brennan," Nov. 8, 2026

What was read

1313 words in the outlet's own voice, plus 8 in the headline. 9% of the text is in quotes; the headline quotes someone. 17 attribution markers (such as "said" or "according to") found.

Words found

Word choice: corrupt attributed to a speaker, not counted Editorializing
are unafraid to call out corrupt politicians and corporate interests who have
rigged attributed to a speaker, not counted Contentious label
and corporate interests who have rigged the system at the expense of
of course attributed to a speaker, not counted Editorializing
Not what he said there, of course , but certainly what he has said
actually 1 point Editorializing
campaign than it is to actually legislate. But President Trump has said
of course attributed to a speaker, not counted Editorializing
run by Stephen Miller and of course President Trump? SEN. WARREN: Look, let's-
actually 1 point Editorializing
an issue where we have actually substantial bipartisan support in the Banking

Layer scores

Rates are counted points per 1,000 words of the story's own text. For a story longer than 200 words, the rate used is the average of the whole-story rate and the rate in its densest 200-word stretch, so neutral filler cannot dilute a loaded passage away. Score = 100 × (loaded end − rate used) ÷ loaded end, kept between 0 and 100. Headline words count only in the headline layer.

Layer	Points	Words	Whole-story rate	Densest 200 words	Rate used	Scale	Score
Word choice	2	1313	1.5	5.0 (words 201 to 400)	3.3	0 to 40	92
Temperature	0	1313	0.0	0.0 (words 1 to 200)	0.0	0 to 40	100
Flagged attribution phrases	0	1313	0.0	0.0 (words 1 to 200)	0.0	0 to 20	100
Headline wording	0	25	0.0	headline only	0.0	0 to 240	100

Densest stretch: Word choice, words 201 to 400 of 1313, with actually.

Shown, not scored: the headline's rate minus the rate of the story's first 80 words is 0.0 points per 1,000 words. Experimental: 2 of 2 names and figures in the headline also appear in the text read.

Overall

Weighted geometric mean of the layers that are established, with 10 added to each layer first and taken away at the end: (Word choice 92 + 10)^0.4 × (Temperature 100 + 10)^0.3 × (Flagged attribution phrases 100 + 10)^0.2 × (Headline wording 100 + 10)^0.1 − 10 = 97. Adding 10 means one layer at 0 lowers the total steeply without collapsing it. A weak layer pulls the total down.

Lowered the score most: Word choice.

Name-swap test: with party, politician and institution names swapped, this report's score moves by 0.0 points.

What a reader could check

People named as sources	1 (President Trump)
Unnamed sources	0 (0% of all sources found)
Links to primary records (government, court, filings, PDFs)	0
Documents cited in the text (a report, bill, ruling, filing)	0
Checkable specifics (numbers and dates)	4
Data shown (a table or chart)	no
Correction or clarification noted	no

What a reader could check, counted by published patterns. Shown beside the score, never part of it. How each count works

Checked against the official record

No vote count or bill number found in the text read.

Record of this measurement

Method 3.1.0, word-list fingerprint 807a17189402a416, read Sun, Nov 8, 1:21 PM ET by text extractor version 4. Fingerprint of the text read: ddf039441f1bde21. Internet Archive copy nearest the time it was read. The text read was not kept (read before method 3.1.0, or from the feed only), so a later rule change can be applied only while the report is still in the outlet's feed.

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