POLYSTRIKE

Vocabulary · not volume · from live post data

Ted Cruz's most-used words

The word cloud behind his post count.

This is Ted Cruz's most-used words as a post word cloud — aggregate word frequency across 1,430 of his own posts (reposts excluded), sized by how often each word appears. It reads his talking-point cadence straight off the vocabulary: "verdict", "break", "episode", "trump". Common stop-words are removed and the counts are transformative, so no individual post is reproduced — only how often a word shows up. It refreshes as more posts are collected.

Corpus · own postsfrequency
1,430
Words shown70
Top wordverdict · 307
Repostsexcluded

Frequency only — filtered for stop-words and profanity, no post text reproduced

What the cloud shows

FIG. 0170 WORDS · SIZED BY FREQUENCY
verdictbreakepisodetrumplatestamericatodaypresidentdontexasirandemocratsdemocratplusmisssenatepodcaststruewhereverpartywantnewamericanlawonepeoplecruzstategreattuckerwowactamericanssavelistenlikehistorytedgoodvotewinsaidcollegefighttimeweekdemscourtsportsleftyearseveryknowradicalextraordinaryproudsupremecaliforniabecausemadegoingayatollahcaregovernmenttalaricowellbidendiscusstaxfraud

The largest words are the ones Cruz returns to most — "verdict", "break", "episode" — the recurring talking points of a sitting senator's feed, with the smaller tier holding the names and issues he cycles through. That's the point of a word cloud over a raw post counter: it reads message and emphasis through word choice, not posting frequency alone. Compare it with Elon Musk's most-used words.

Top 30 words

FIG. 02 — RANKED BY USES · 1,430 POSTS
#WordUses
01verdict307
02break173
03episode142
04trump119
05latest101
06america86
07today85
08president81
09don79
10texas77
11iran76
12democrats74
13democrat70
14plus54
15miss52
16senate50
17podcasts45
18true44
19wherever43
20party40
21want39
22new39
23american35
24law35
25one34
26people33
27cruz32
28state32
29great31
30tucker31

Ranked by uses across the collected corpus, sorted high to low. Counts are aggregate frequency only — a short reaction post still counts, and a later-deleted one that was captured in the window counts too, so the corpus and these numbers swing fast and grow over time. Cross-reference the raw pace on the tweet market history or pull the live figures from the tweet count API.