The arithmetic for one report
STATE OF MONDAY: Gavin Newsom Plays Populist — Behind The Curtain He’s A Uniparty Darling
80Moderate density of flagged expressions
What was read
1234 words in the outlet's own voice, plus 14 in the headline. 0% of the text is in quotes. 2 attribution markers (such as "said" or "according to") found.
Scare quotes (a phrase of one to three words in quotation marks with no speaker in the same sentence): behested payments
, establishment ghouls.
, Establishment Ghouls
. Since method 3.1.0 their words count as the outlet's own.
Words found
- Word choice:
boasts
2 points Loaded word for "said"
political and financial records. He boasts a network of wealthy donors, taxpayer-fundedso-called
2 points Expression of doubt
concerns. He’s also opposed California’s so-called billionaire tax while pushing for aclearly
2 points Editorializing
forest for the trees; this clearly isn’t a politician interested in fightingundoubtedly
2 points Editorializing
more on the misdiagnosis that undoubtedly contributed to the historic defeat from - Raises the temperature:
stunning
1 point Raises the temperature
answer. The video is a stunning reminder that populist rhetoric only goesvery
attributed to a speaker, not counted Raises the temperature
loyal foot soldier of the very establishment he claims to challenge. Evenvery
1 point Raises the temperature
concerningly cozy relationships with the very industries and special interests that havevery
1 point Raises the temperature
on his trail, investigating the very foundation and issuing subpoenas for sixvery
1 point Raises the temperature
entrenched powers, yet when those very interests collide with his political andbrutal
attributed to a speaker, not counted Raises the temperature
searching for answers to their brutal defeat on election night and onebacklash
1 point Raises the temperature
MAHA initiatives over concerns about backlash from political donors.
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 | 8 | 1234 | 6.5 | 20.0 (words 651 to 850) | 13.2 | 0 to 40 | 67 |
| Temperature | 5 | 1234 | 4.1 | 10.0 (words 151 to 350) | 7.0 | 0 to 40 | 82 |
| Flagged attribution phrases | 0 | 1234 | 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 651 to 850 of 1234, with so-called
, clearly
; Temperature, words 151 to 350 of 1234, with stunning
, 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: 3 of 3 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 67 + 10)0.4 × (Temperature 82 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 80. 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 (Rand Paul) |
|---|---|
| Unnamed sources | 0 (0% of all sources found) |
| Links to primary records (government, court, filings, PDFs) | 3 www.fppc.ca.gov, www.fppc.ca.gov, www.justice.gov |
| Documents cited in the text (a report, bill, ruling, filing) | 1 |
| Checkable specifics (numbers and dates) | 8 |
| 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: 161de074d8f524d7. 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.