Channel
@neonrevolt
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
134subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001850228648 |
|---|---|
| Type | Channel |
| Username | @neonrevolt |
| Created | Between 1 October 2022 and 6 July 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/neonrevolt |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 00:00 | 134 | no change |
| 6 Aug 2026, 22:51 | 134 | first reading |
20 posts held, back to 6 July 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 28 December 2023. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
51 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 62.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 32 | 62.7% | |
| ❤ | 5 | 9.80% | |
| 💯 | 5 | 9.80% | |
| 🙏 | 5 | 9.80% | |
| 💔 | 2 | 3.92% | |
| 🔥 | 1 | 1.96% | |
| 🤔 | 1 | 1.96% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 12 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 51reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 July 2023 to 28 December 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
The Biden administration is importing millions of third world immigrants to live here illegally, and at same time telling them that white people are the source of their problems. How’s that going to work out in the end? @TuckerCarlson
❤3👍3🙏3
Ep. 47 Gonzalo Lira is an American citizen who’s been tortured in a Ukrainian prison since July, for the crime of criticizing Zelensky. Biden officials approve of this, because they’d like to apply the same standard here. The media agree. Here’s a statement from Gonzalo Lira’s father. (00:00) American Zelensky critic jailed in Ukraine (05:14) Where is our State Department? (08:40) Lira arrested after criticizing Bi…
👍3💔2🙏2
Ep. 44 Another half-demented 80-year-old yelling about things he doesn’t understand. These are our leaders. They don’t care about our future because they don’t have one of their own. @TuckerCarlson
🔥1
Ep. 43 You think elected Republicans in Washington are craven frauds who’d sell your children for a steak dinner at the French Laundry? Actually, says Marjorie Taylor Greene, it’s worse than that. TIMESTAMPS 05:15 Why are we funding foreign wars? 12:40 Initial thoughts on the new House Speaker 17:19 MTG vs. her own party 19:32 Who are the worst Republicans in the House? 26:50 Derek Chauvin stabbed in prison 32:28 …
Ep. 35 Start another war, send millions more anti-Western refugees to the West. Starting to notice a pattern? @TuckerCarlson
👍4
Ep. 34 Of all of Biden’s crimes, backing the Ukrainian government as it throws priests in jail may be the most revealing. @TuckerCarlson
👍3
You can say you care about America, but if you’re sending $100 billion to foreign countries right now, you’re lying. @TuckerCarlson
👍5
Ep. 27 Donald Trump appeared in court, but it wasn’t a legal proceeding. It was a grotesque parody of the system our ancestors created. Victor Davis Hanson explains. @TuckerCarlson
President Donald J. Trump Returns to Washington DC to Deliver Keynote Speeches - 9/15/23 Subscribe and share ❗️ @RightSideBroadcastingNetwork
👍2
Correct. @neonrevolt
👍8
Day 3 of Imprecatory Prayers. Examples from Scripture, in case you need some inspiration or examples: “Make them bear their guilt, O God; let them fall by their own counsels; because of the abundance of their transgressions cast them out, for they have rebelled against you” (Psalm 5:10). “Let them be put to shame and dishonor who seek after my life! Let them be turned back and disappointed who devise evil against …
💯5❤2
I don't know how to trade this market chop rn. I'm seeing so many contradictory signals. Can't tell if we're about to break down or break up. Frustrated with my bafflement. 😣😣😣 @neonrevolt
Showing the 12 most recent of 20 posts we hold for @neonrevolt. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 9 August 2026 — this entry's latest reading, not the date you are reading this.
“NEON REVOLT” (@neonrevolt), 134 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/neonrevolt.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.