The arithmetic for one report
Scoop: Trump to keep fundraising, hoping to retain political muscle
79Moderate density of flagged expressions
What was read
454 words in the outlet's own voice, plus 10 in the headline. 0% of the text is in quotes. 5 attribution markers (such as "said" or "according to") found.
Words found
- Raises the temperature:
massive
1 point Raises the temperature
of 2025. The group received massive checks from cryptocurrency and AI industrymassive
1 point Raises the temperature
familiar with the totals. The massive investment failed to prevent Republicans fromwar on
2 points Raises the temperature
amid voter anger over Trump's war on Iran, high prices and corruption concerns.enormous
1 point Raises the temperature
it harder to attract the enormous checks that have flowed into MAGA - Attribution phrases:
a source familiar
2 points Unnamed source
biggest spending forces, according to a source familiar with the totals.
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 | 454 | 0.0 | 0.0 (words 1 to 200) | 0.0 | 0 to 40 | 100 |
| Temperature | 5 | 454 | 11.0 | 20.0 (words 101 to 300) | 15.5 | 0 to 40 | 61 |
| Flagged attribution phrases | 2 | 454 | 4.4 | 10.0 (words 101 to 300) | 7.2 | 0 to 20 | 64 |
| Headline wording | 0 | 25 | 0.0 | headline only | 0.0 | 0 to 240 | 100 |
Densest stretch: Temperature, words 101 to 300 of 454, with massive
, massive
, war on
; Flagged attribution phrases, words 101 to 300 of 454, with a source familiar
.
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.
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 61 + 10)0.3 × (Flagged attribution phrases 64 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 79. 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 | 1 (100% 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) | 11 |
| 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: 9c761ed60548f6d8. 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.