The arithmetic for one report
How AI is enabling faster, more dangerous cyber warfare
94Few flagged expressions
What was read
487 words in the outlet's own voice, plus 9 in the headline. 16% of the text is in quotes. 11 attribution markers (such as "said" or "according to") found.
Words found
- Word choice:
claimed
1 point Expression of doubt
that Russian-aligned hackers have previously claimed attacks on European refrigeration systems. Meanwhile, - Raises the temperature:
sweeping
1 point Raises the temperature
and spoiling food in a sweeping attack some linked to Russia. Cynthia
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 | 1 | 487 | 2.1 | 5.0 (words 1 to 200) | 3.5 | 0 to 40 | 91 |
| Temperature | 1 | 487 | 2.1 | 5.0 (words 1 to 200) | 3.5 | 0 to 40 | 91 |
| Flagged attribution phrases | 0 | 487 | 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 487, with claimed
; Temperature, words 1 to 200 of 487, with sweeping
.
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 91 + 10)0.4 × (Temperature 91 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 94. 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.
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 | 3 (Cynthia Kaiser, Adam Meyers, Mike Searight) |
|---|---|
| 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) | 0 |
| Checkable specifics (numbers and dates) | 7 |
| 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: 8f66796ab0bd6f37. 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.