The arithmetic for one report
Full transcript of "Face the Nation with Margaret Brennan," Nov. 8, 2026
75Moderate density of flagged expressions
What was read
7716 words in the outlet's own voice, plus 6 in the headline. 4% of the text is in quotes, with 3 listed words inside quotes; the headline quotes someone. 68 attribution markers (such as "said" or "according to") found.
Listed words inside quotes (not scored; quoting is reporting, but which quotes to use is an editorial choice): corrupt
, rigged
, very
.
Scare quotes (a phrase of one to three words in quotation marks with no speaker in the same sentence): FACE THE NATION.
, FACE THE NATION,
. Since method 3.1.0 their words count as the outlet's own.
Words found
- Word choice:
actually
1 point Editorializing
the two branches of government actually work together? DONALD TRUMP (President ofof course
attributed to a speaker, not counted Editorializing
not what he said there, of course , but certainly what he has saidactually
1 point Editorializing
campaign than it is to actually legislate. But President Trump has saidof course
attributed to a speaker, not counted Editorializing
run by Stephen Miller and, of course , President Trump? SENATOR ELIZABETH WARREN: Look,actually
1 point Editorializing
an issue where we have actually substantial bipartisan support in the Bankingobviously
2 points Editorializing
rampant cancer rates. And it's obviously because of our environment. It's becauseactually
attributed to a speaker, not counted Editorializing
midterms and really need to actually go against what voters said, butactually
1 point Editorializing
and Richard Walters, who is actually not someone most people know, butactually
attributed to a speaker, not counted Editorializing
take it to mean is actually an opening for Republicans and Democrats.actually
1 point Editorializing
do you think he can actually help you get things done onactually
attributed to a speaker, not counted Editorializing
was one of – like actually solving the border crisis, Stephen Millermob
3 points Contentious label
with most authority from the mob perspective. CALLEY MEANS: Let's talk aboutstupid
2 points Editorializing
the American people like they're stupid and often, frankly, I think treatingstupid
2 points Editorializing
treating President Trump like he's stupid . Obviously, Continental Strategies' revenues exploding wasobviously
2 points Editorializing
President Trump like he's stupid. Obviously , Continental Strategies' revenues exploding was tiedregime
3 points Contentious label
pushed hard in the previous regime were things like vapes, which areactually
attributed to a speaker, not counted Editorializing
reported that tobacco lobbyists had actually been at the president's Florida golfof course
2 points Editorializing
like a baby? CALLEY MEANS: Of course . They would – they would blockregime
3 points Contentious label
BRENNAN: So, in this new regime , with a the new chief of - Raises the temperature:
devastating
1 point Raises the temperature
over what led to the devastating defeat for the GOP intensifies, asvery
1 point Raises the temperature
have a son who's a very straight, good guy. He watches oververy
1 point Raises the temperature
with you. It was a very complicated, tough election cycle this year.obliterated
1 point Raises the temperature
clarity, nor has it completely obliterated the program. But just to govery
1 point Raises the temperature
way? REPRESENTATIVE FRENCH HILL: That's very separate from whether or not somebody'sfirestorm
2 points Raises the temperature
Friday and set off a firestorm in Washington. Means is one ofvery
1 point Raises the temperature
you went public with some very specific allegations of corruption and avery
1 point Raises the temperature
on. CALLEY MEANS: And there's very simple things. And Americans voted tovery
1 point Raises the temperature
Barrett and James Blair, a very close-knit crew, who explicitly catered tohuge
1 point Raises the temperature
the country. He had a huge say in any policy that gotvery
attributed to a speaker, not counted Raises the temperature
the HHS secretary, who you're very , very close to, said CALLEY MEANSvery
attributed to a speaker, not counted Raises the temperature
HHS secretary, who you're very, very close to, said CALLEY MEANS (Formervery
1 point Raises the temperature
mass deportation policy that proved very unpopular in these midterms. MARGARET BRENNAN:very
1 point Raises the temperature
an existential issue. He is very competent and he has dramatically reduceddramatically
1 point Raises the temperature
very competent and he has dramatically reduced those numbers. So, I canvery
attributed to a speaker, not counted Raises the temperature
now. CALLEY MEANS: I feel very comfortable with what I said. Ivery
attributed to a speaker, not counted Raises the temperature
what I said. I feel very comfortable with the hundreds of callshuge
1 point Raises the temperature
like vapes, which are a huge donor to Ballard Partners. Are thingsvery
1 point Raises the temperature
to Bobby Kennedy about doing very transformational things. And what I know,very
1 point Raises the temperature
the second Trump administration, the very same issues are surfacing again. Arevery
attributed to a speaker, not counted Raises the temperature
you know, if they had very short conversations on these issues, youextremely
attributed to a speaker, not counted Raises the temperature
know, where the president is extremely busy and the president said, OK,very
1 point Raises the temperature
bill, but there are some very – pieces that have done arage
2 points Raises the temperature
dismissed a reference to white rage . He said that seemed to beextremely
1 point Raises the temperature
as one thing that is extremely damaging to our country. Some of
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 | 24 | 7716 | 3.1 | 30.0 (words 4401 to 4600) | 16.6 | 0 to 40 | 59 |
| Temperature | 21 | 7716 | 2.7 | 15.0 (words 3101 to 3300) | 8.9 | 0 to 40 | 78 |
| Flagged attribution phrases | 0 | 7716 | 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 4401 to 4600 of 7716, with stupid
, stupid
, obviously
; Temperature, words 3101 to 3300 of 7716, with firestorm
, very
.
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: 1 of 1 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 59 + 10)0.4 × (Temperature 78 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 75. 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 | 6 (President Trump, Richard Walters, Susie Wiles, Continental Strategies, James Blair, Joe Rogan) |
|---|---|
| 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) | 36 |
| 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 by text extractor version 4. Fingerprint of the text read: 1023c9ab15623231. 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.