The arithmetic for one report
Elon Musk's empire braces for Democratic crackdown
90Few flagged expressions
What was read
599 words in the outlet's own voice, plus 7 in the headline. 5% of the text is in quotes. 4 attribution markers (such as "said" or "according to") found.
Words found
- Raises the temperature:
onslaught
2 points Raises the temperature
— is facing a political onslaught with few parallels in modern corporatehumiliating
1 point Raises the temperature
to WIRED . Musk's most humiliating defeat came in Texas, where abrutal
1 point Raises the temperature
a fitting coda to a brutal week, Musk announced Friday that Teslabacklash
1 point Raises the temperature
The midterms have given the backlash against AI new political muscle, threateningmassive
1 point Raises the temperature
political muscle, threatening both the massive data centers powering Musk's ambitions and
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 | 0 | 599 | 0.0 | 0.0 (words 1 to 200) | 0.0 | 0 to 40 | 100 |
| Temperature | 6 | 599 | 10.0 | 15.0 (words 1 to 200) | 12.5 | 0 to 40 | 69 |
| Flagged attribution phrases | 0 | 599 | 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: Temperature, words 1 to 200 of 599, with onslaught
, humiliating
.
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 100 + 10)0.4 × (Temperature 69 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 90. 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: Temperature.
Name-swap test: with party, politician and institution names swapped, this report's score moves by 0.0 points.
Only the feed's headline and summary were read, so this report is listed with the headline-and-summary results and never enters the outlet ranking.
What a reader could check
| People named as sources | 0 |
|---|---|
| Unnamed sources | 0 |
| 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) | 9 |
| Data shown (a table or chart) | no |
| Correction or clarification noted | no |
What a reader could check, counted by published patterns. Only the headline and summary were read, so most counts will be low. 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: 38381508247cfb53. 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.