The arithmetic for one report
What Trump picking Stephen Miller for chief of staff signals about his agenda
90Few flagged expressions
What was read
1314 words in the outlet's own voice, plus 13 in the headline. 2% of the text is in quotes. 5 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): domestic extremist organization.
. Since method 3.1.0 their words count as the outlet's own.
Insults found but not counted: 1 (losers
). Insult words are experimental until the reader panel rates them, so they are shown and not scored.
Words found
- Word choice:
extremist
attributed to a speaker, not counted Contentious label
a -- quote -- domestic extremist organization. Liz Landers reports on thelosers
experimental, shown but not counted Insult or name-calling
the party of freaks, weirdos, losers , and crazies. So, even though Presidentreckless
attributed to a speaker, not counted Editorializing
the speaker, calling Miller a reckless extremist today. The incoming chair ofextremist
attributed to a speaker, not counted Contentious label
speaker, calling Miller a reckless extremist today. The incoming chair of Housecontroversial
1 point Contentious label
ban, one of the most controversial policies of the first administration, also - Raises the temperature:
very
1 point Raises the temperature
from beginning. He gets it, very good politically, and he's a veryvery
1 point Raises the temperature
good politically, and he's a very good manager. He will do avery
1 point Raises the temperature
I think Susie's done a very good job, great job, but Ivery
attributed to a speaker, not counted Raises the temperature
one more example of Miller's very hard-line stance on immigration, earlier this
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 | 1314 | 0.8 | 5.0 (words 801 to 1000) | 2.9 | 0 to 40 | 93 |
| Temperature | 3 | 1314 | 2.3 | 15.0 (words 51 to 250) | 8.6 | 0 to 40 | 78 |
| Flagged attribution phrases | 0 | 1314 | 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 801 to 1000 of 1314, with controversial
; Temperature, words 51 to 250 of 1314, with very
, very
, 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. Experimental: 1 of 2 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 93 + 10)0.4 × (Temperature 78 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 90. 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.
What a reader could check
| People named as sources | 1 (House Oversight) |
|---|---|
| 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) | 3 |
| 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: 0306e07047ccbd33. 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.