The arithmetic for one report
The biggest blue wave in 50 years, explained in 7 charts
83Moderate density of flagged expressions
What was read
1388 words in the outlet's own voice, plus 11 in the headline. 1% of the text is in quotes. 2 attribution markers (such as "said" or "according to") found.
Words found
- Word choice:
actually
1 point Editorializing
in deep red states — actually happened. House candidates won elections inactually
1 point Editorializing
In the end, the GOP actually lost seats in some states it - Raises the temperature:
huge
1 point Raises the temperature
Obama into the presidency with huge majorities. But Democrats’ House majority nextvery
attributed to a speaker, not counted Raises the temperature
called, but Democrat Scott Colom very narrowly leads). Indeed, Democrats even cameoutraged
2 points Raises the temperature
from newly favorable maps alone. Outraged Democrats responded with a redistricting pushdramatically
1 point Raises the temperature
the Supreme Court’s Callais decision dramatically weakened the Voting Rights Act protectionsoutrage
2 points Raises the temperature
Court decision, suggesting it spurred outrage and increased mobilization. Whatever the cause,backlash
1 point Raises the temperature
in particular. Polling showed a backlash to Trump’s harsh immigration crackdown amongenormous
1 point Raises the temperature
his research. A wave as enormous as this one will wash someenormous
1 point Raises the temperature
District — the Democrat overcame enormous GOP spending advantages to win anmassive
1 point Raises the temperature
the Democratic wave will have massive implications for governance of the states.very
1 point Raises the temperature
of these wins could be very real. Democrats in Pennsylvania and Wisconsin
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 | 2 | 1388 | 1.4 | 5.0 (words 1 to 200) | 3.2 | 0 to 40 | 92 |
| Temperature | 11 | 1388 | 7.9 | 25.0 (words 601 to 800) | 16.5 | 0 to 40 | 59 |
| Flagged attribution phrases | 0 | 1388 | 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 1388, with actually
; Temperature, words 601 to 800 of 1388, with outraged
, dramatically
, outrage
.
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 1 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 92 + 10)0.4 × (Temperature 59 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 83. 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 | 2 (Chuck Rocha, Zack Mullock) |
|---|---|
| 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) | 26 |
| 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: dfcd00a5364b5ce3. 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.