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.
Frequency only — filtered for stop-words and profanity, no post text reproduced
What the cloud shows
FIG. 01 — 70 WORDS · SIZED BY FREQUENCYThe 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| # | Word | Uses |
|---|---|---|
| 01 | verdict | 307 |
| 02 | break | 173 |
| 03 | episode | 142 |
| 04 | trump | 119 |
| 05 | latest | 101 |
| 06 | america | 86 |
| 07 | today | 85 |
| 08 | president | 81 |
| 09 | don | 79 |
| 10 | texas | 77 |
| 11 | iran | 76 |
| 12 | democrats | 74 |
| 13 | democrat | 70 |
| 14 | plus | 54 |
| 15 | miss | 52 |
| 16 | senate | 50 |
| 17 | podcasts | 45 |
| 18 | true | 44 |
| 19 | wherever | 43 |
| 20 | party | 40 |
| 21 | want | 39 |
| 22 | new | 39 |
| 23 | american | 35 |
| 24 | law | 35 |
| 25 | one | 34 |
| 26 | people | 33 |
| 27 | cruz | 32 |
| 28 | state | 32 |
| 29 | great | 31 |
| 30 | tucker | 31 |
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.