The arithmetic for one report
Elon Musk’s Austin home targeted by well-funded leftist groups aboard party buses
84Moderate density of flagged expressions
What was read
1646 words in the outlet's own voice, plus 12 in the headline. 9% of the text is in quotes, with 1 listed word inside quotes. 19 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): war on
.
Scare quotes (a phrase of one to three words in quotation marks with no speaker in the same sentence): party
, grassroots.
, After Party,
, organic
, Tesla Takedown
, permission structure
, Tesla Takedown
, DOWN WITH BILLIONAIRES,
, WE NEED SOCIALISM.
, No Kings,
. Since method 3.1.0 their words count as the outlet's own.
Words found
- Word choice:
far-left
3 points Contentious label
Donald Trump pardons him. Three far-left nonprofits with combined annual revenues ofinsisted
2 points Loaded word for "said"
News Digital, but they have insisted in the past that their localfar-left
attributed to a speaker, not counted Contentious label
committees. May Day Strong, another far-left coalition tagged in the social mediapropaganda
3 points Contentious label
graphic became part of the propaganda of the broader Hands Off protesticonic
1 point Puffery
At least two of the iconic posters landed in the party protest - Raises the temperature:
blasted
1 point Raises the temperature
buses and additional vehicles. Organizers blasted music including Queen’s over loudspeakers. thevery
attributed to a speaker, not counted Raises the temperature
in the spirit of the very coordinated Tesla Takedown protests launched atchaos
attributed to a speaker, not counted Raises the temperature
Tesla showroom. (Asra Q. Nomani) CHAOS INC.: COMMUNISTS, ANTIFA, AGITATORS IN THE
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 | 9 | 1646 | 5.5 | 20.0 (words 1401 to 1600) | 12.7 | 0 to 40 | 68 |
| Temperature | 1 | 1646 | 0.6 | 5.0 (words 201 to 400) | 2.8 | 0 to 40 | 93 |
| Flagged attribution phrases | 0 | 1646 | 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 1401 to 1600 of 1646, with propaganda
, iconic
; Temperature, words 201 to 400 of 1646, with blasted
.
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 68 + 10)0.4 × (Temperature 93 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 84. 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 (Eli Cortez) |
|---|---|
| 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) | 1 |
| Checkable specifics (numbers and dates) | 55 |
| 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: 27b24356e069ebf1. 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.