The arithmetic for one report
Democrats made three big economic promises. They’ll need to break one.
86Few flagged expressions
What was read
2280 words in the outlet's own voice, plus 11 in the headline. 5% of the text is in quotes, with 1 listed word inside quotes. 5 attribution markers (such as "said" or "according to") found.
Listed words inside quotes (not scored; quoting is reporting, but which quotes to use is an editorial choice): very
.
Scare quotes (a phrase of one to three words in quotation marks with no speaker in the same sentence): too high
, tax-and-spend
, affordability
, corporate subsidies ,
. Since method 3.1.0 their words count as the outlet's own.
Words found
- Word choice:
unfortunately
2 points Editorializing
effectively advances their core goals. Unfortunately , this will be harder than itessentially
1 point Editorializing
than five decades . We essentially saw what a US election looksremarkably
2 points Editorializing
opposed higher taxes in a remarkably wide array of cases. And thisnotably
1 point Editorializing
property taxes on senior citizens. Notably , this large, bipartisan tax revolt hasactually
1 point Editorializing
senators. The fiscal policy that actually made it into law — theactually
1 point Editorializing
do. When it’s time to actually govern, however, a party ignores inconvenientactually
1 point Editorializing
need to know what it actually cares about most. This is the - Raises the temperature:
extremely
1 point Raises the temperature
in 2028, they are now extremely likely to also secure full controlvery
1 point Raises the temperature
• Raise taxes on the very wealthy — but no one elsetruly
1 point Raises the temperature
in wealthier countries, such as truly universal healthcare. Finally, the party’s embrace
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 | 9 | 2280 | 3.9 | 15.0 (words 951 to 1150) | 9.5 | 0 to 40 | 76 |
| Temperature | 3 | 2280 | 1.3 | 10.0 (words 151 to 350) | 5.7 | 0 to 40 | 86 |
| Flagged attribution phrases | 0 | 2280 | 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 951 to 1150 of 2280, with remarkably
, notably
; Temperature, words 151 to 350 of 2280, with extremely
, very
.
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 76 + 10)0.4 × (Temperature 86 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 86. 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 | 1 (Greg Casar) |
|---|---|
| Unnamed sources | 0 (0% of all sources found) |
| Links to primary records (government, court, filings, PDFs) | 6 www.brookings.edu, www.cbo.gov, www.cbo.gov, www.cbo.gov, www.warren.senate.gov, www.cbo.gov |
| Documents cited in the text (a report, bill, ruling, filing) | 0 |
| Checkable specifics (numbers and dates) | 30 |
| Data shown (a table or chart) | yes |
| 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: 9240e1125e13e73b. 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.