Channel
@fsfCIacomQ4ZjNh
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
264subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001552436380 |
|---|---|
| Type | Channel |
| Username | @fsfCIacomQ4ZjNh |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 14 September 2026 |
| On Telegram | t.me/fsfCIacomQ4ZjNh |
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 23 September 2026 and assigned it the closest of 31 fixed categories, at 78% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 02:00 | 264 | +3 |
| 29 Aug 2026, 03:23 | 261 | -1 |
| 15 Aug 2026, 19:34 | 262 | -2 |
| 7 Aug 2026, 07:32 | 264 | no change |
| 7 Aug 2026, 07:27 | 264 | first reading |
20 posts held, back to 6 August 2026 — 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 page of 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.
22 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 31.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🖕 | 7 | 31.8% | |
| 👍 | 4 | 18.2% | |
| 👎 | 3 | 13.6% | |
| ❤ | 2 | 9.09% | |
| 💩 | 2 | 9.09% | |
| 🤬 | 2 | 9.09% | |
| 👏 | 1 | 4.55% | |
| 🤪 | 1 | 4.55% |
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 10 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 22 reactions 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 August 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
BREAKING: Di-Quan Schafar Hunt ARRESTED in Charlotte NC after he was spotted BEATING WHITE WOMEN on the street at random, per WSOC He has an extensive criminal history. The female victim has NON-life threatening injuries. 🇺🇸Join👉 @SGTnewsNetwork 📎 X (Twitter)▪️Truth Social
🖕1
Signed Luther
The usual suspects (both sides)
💩2
Signed Luther
https://x.com/sgtnewsnetwork/status/2085528908598849758
👍2
Signed Luther
BREAKING: Marsha Blackburn Clinches Tennessee GOP Governor Nomination https://www.dailywire.com/news/marsha-blackburn-clinches-tennessee-gop-governor-nomination @police_frequency
Signed Luther
🔥 JUST NOW: President Trumps posts himself at Camp David with President John F. Kennedy 🇺🇸Join👉 @SGTnewsNetwork 📎 X (Twitter)▪️Truth Social
Signed Luther
JUST IN: 🇺🇸 Senate delays Crypto Clarity Act vote until after summer recess. @WatcherGuru
👎3
Signed Luther
Charlotte police have arrested Diquan Hunt for the attacks on ⚪️ women. He will be charged with assault with a deadly weapon. He has already been arrested 14 times, of course. T.me/TheWesternChauvinist1
Signed Luther
JUST IN: Trump-endorsed Rep. Tim Burchett — House DOGE Chairman — OFFICIALLY confirmed as the GOP nominee in his reelection for Tennessee's 2nd Congressional District Burchett is one of the most HARDWORKING and PATRIOTIC members of Congress, previously revealing: “I sleep on my couch in my office, and I shower in the gym. I don't have a place, I can't afford it! While other congress members buy million dollar homes.…
👍2
Signed Luther
Here’s how Dr. Fauci’s wife is responding to her husband being found in contempt of Congress🤣
🖕6🤪1
Signed Luther
A video of migrants burning a British flag with one shouting: "This is our country now! There's nothing you can do about it!" has gone viral in the UK. Others can be heard speaking in Arabic in the background and shouting "Allahu Akbar!" Subscribe Visegrád24
Signed Luther
Trump is sounding the alarm on the Communist/Islamist Dems terminating the filibuster and implementing their one-party rule. That’s what’s at stake in 2026. If the election is not secure, the Dems will gain control of Congress, nuke the filibuster, and they will never lose an election again. A full Communist/Globalist takeover. I’m here to tell you, that Trump is not going to let that happen. Either the Senate GOP …
Signed Luther
Video, posted without a caption
Signed Luther
Showing the 12 most recent of 20 posts we hold for @fsfCIacomQ4ZjNh. 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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“Luther” (@fsfCIacomQ4ZjNh), 264 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/fsfCIacomQ4ZjNh.
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.