The arithmetic for one report
Trump Activist Laura Loomer Reportedly Received Thousands For Online Support
80Moderate density of flagged expressions
What was read
1234 words in the outlet's own voice, plus 10 in the headline. 11% of the text is in quotes. 15 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): nuclear bomb
, lashing out,
. Since method 3.1.0 their words count as the outlet's own.
Words found
- Raises the temperature:
very
1 point Raises the temperature
is going to be a very busy year. The political landscape willvery
1 point Raises the temperature
The political landscape will be very contentious and fast moving, and asvery
1 point Raises the temperature
to 1789 Capital? Alex is very financially driven. Notice he says themassive
1 point Raises the temperature
fact that Alex is a massive hypocrite, I’m glad Alex has been - Attribution phrases:
reportedly
2 points Unnamed source
journalist and activist Laura Loomer reportedly accepted thousands of dollars in undisclosedreportedly
2 points Unnamed source
Loomer reportedly received $3,000 to $5,000, if not
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 | 1234 | 0.0 | 0.0 (words 1 to 200) | 0.0 | 0 to 40 | 100 |
| Temperature | 4 | 1234 | 3.2 | 10.0 (words 301 to 500) | 6.6 | 0 to 40 | 83 |
| Flagged attribution phrases | 4 | 1234 | 3.2 | 20.0 (words 1 to 200) | 11.6 | 0 to 20 | 42 |
| Headline wording | 0 | 25 | 0.0 | headline only | 0.0 | 0 to 240 | 100 |
Densest stretch: Temperature, words 301 to 500 of 1234, with very
, very
; Flagged attribution phrases, words 1 to 200 of 1234, with reportedly
, reportedly
.
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 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 100 + 10)0.4 × (Temperature 83 + 10)0.3 × (Flagged attribution phrases 42 + 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: Flagged attribution phrases.
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 (President Donald Trump) |
|---|---|
| Unnamed sources | 2 (67% of all sources found) |
| Links to primary records (government, court, filings, PDFs) | 1 www.ecfr.gov |
| Documents cited in the text (a report, bill, ruling, filing) | 2 |
| Checkable specifics (numbers and dates) | 14 |
| 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: dcb52bc08364cbfd. 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.