The arithmetic for one report
Why Vibes Now Matter More Than Ideas In Recent Elections
85Few flagged expressions
What was read
1177 words in the outlet's own voice, plus 10 in the headline. 1% of the text is in quotes. 2 attribution markers (such as "said" or "according to") found.
Words found
- Word choice:
propaganda
3 points Contentious label
them and passively consumed uninformed propaganda from influencers masterfully stimulating their dopamineobviously
2 points Editorializing
institutions to adapt or die. Obviously , these problems have become even worseiconic
1 point Puffery
voters. He was interesting and iconic . Many of the left felt like - Raises the temperature:
rage
2 points Raises the temperature
people flew into a senseless rage and adopted positions that contradicted allbrutal
1 point Raises the temperature
miserable. Even after suffering a brutal defeat in the midterms, there is
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 | 6 | 1177 | 5.1 | 15.0 (words 1 to 200) | 10.0 | 0 to 40 | 75 |
| Temperature | 3 | 1177 | 2.5 | 10.0 (words 1 to 200) | 6.3 | 0 to 40 | 84 |
| Flagged attribution phrases | 0 | 1177 | 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 1 to 200 of 1177, with propaganda
; Temperature, words 1 to 200 of 1177, with rage
.
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: 0 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 75 + 10)0.4 × (Temperature 84 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 85. 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 | 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) | 5 |
| 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: 76f6bba71a2c6046. 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.