Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 21 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @Maxenta_Tv. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
6 measurements spanning 5 days, net +2,207. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 249,475–252,344 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 06:54
252,013
+344
11 Aug 2026, 08:43
251,669
+427
10 Aug 2026, 11:56
251,242
+344
9 Aug 2026, 11:51
250,898
+651
8 Aug 2026, 14:21
250,247
+441
7 Aug 2026, 16:45
249,806
first reading
Engagement
65 posts held, back to 3 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 15 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.90%
avg views ÷ 252,013 subscribers
Avg views / post
7,310
65 posts measured
Reaction rate
0.051%
reactions ÷ views · ER floor
Posts in window
65
of 65 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 61 of 65 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
65 (3 August 2026 – 12 August 2026)
Views total
474,870
Reactions total
227
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:55 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
118
Links
136
Lifetime counters from Telegram’s own channel header, read 12 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.
Reaction mix
227 reactions across 59 posts, in 9 distinct kinds. The most used accounts for 90.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
205
90.3%
🔥
9
3.96%
👍
3
1.32%
🙈
3
1.32%
🤣
3
1.32%
🐳
1
0.441%
👏
1
0.441%
👨💻
1
0.441%
🥰
1
0.441%
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 61 of the 65 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 227reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 65 most recent posts we hold, published 3 August 2026 to 12 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 65 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @iconflim. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 65 most recent posts we hold for this entry, published 3 August 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Movie: Wolf Man 2025
Rating ⭐️: 6.2 / 10
(6.2 based on 990 user ratings) | R | 1h 43min |
Story Line: With his marriage fraying, Blake persuades his wife Charlotte to take a break from the city and visit his remote childhood home in rural Oregon. As they arrive at the farmhouse in the dead of night, they're attacked by an unseen animal and barricade themselves inside the home as the creature prowls the perimeter. But…
Movie: The Platform 2019
Rating ⭐️: 7.0 / 10
(7.0 based on 7840 user ratings) | R | 1h 35min |
Story Line: A slab of food descends down a vertical facility. The residents above eat heartily, leaving those below starving and desperate. A rebellion is imminent.
➡️CLICK HERE TO DOWNLOAD ⬅️
Spi.der-Man: B.rand N,ew Day
MOVIE • 2026 • 2H 25M
● N/A | Science Fiction, Action, Adventure
● Fighting crime full-time as Spider-Man in a world that doesn't remember him—and the pressure of seeing his old friends move on without him—sparks a change in Peter Parker he may not have the power to control. But that transformation might also be the only thing that can stop a shocking new threat to the city and those he…
Movie: The Channel 2023
Rating ⭐️: 6.2 / 10
(6.2 based on 67 user ratings) | R | 1h 41min |
Story Line: After their bank heist goes wrong, a desperate criminal, his out-of-control brother, and their motley crew of ex-marines must escape New Orleans, United States.
➡️CLICK HERE TO DOWNLOAD ⬅️
Movie: A Writer's Odyssey 2021
Rating ⭐️: 7.1 / 10
(7.1 based on 366 user ratings) | R | 2h 10min |
Story Line: Lu Kongwen is the author of a fantasy novel series following a heroic teenager, also named Kongwen, on a quest to end the tyrannical rule of Lord Redmane, under the guidance of a Black Armor. But through a strange twist of fate, the fantasy world of the novel begins to impact life in the real world, leading…
Movie: The Sheep Detectives 2026
Rating ⭐️: 7.6 / 10
(7.6 based on 185 user ratings) | PG | 1h 49min |
Story Line: George Hardy is a shepherd who reads detective novels to his beloved sheep every night, assuming they can't possibly understand. But when a mysterious incident disrupts life on the farm, the sheep realize they must become the detectives. As they follow the clues and investigate human suspects, they prove…
Argylle
MOVIE • 2024 • 2H 19M
● 6.0 | Action, Adventure, Comedy
● When the plots of reclusive author Elly Conway's fictional espionage novels begin to mirror the covert actions of a real-life spy organization, quiet evenings at home become a thing of the past. Accompanied by her cat Alfie and Aidan, a cat-allergic spy, Elly races across the world to stay one step ahead of the killers as the line between Conway's fi…
Movie: Disclosure Day 2026
Rating ⭐️: 6.7 / 10
(6.7 based on 642 user ratings) | PG-13 | 2h 25min |
Story Line: A cybersecurity expert becomes a whistleblower after uncovering secrets about aliens, putting him on the run from a corporation. Meanwhile, a meteorologist experiencing strange phenomena joins forces with him to prove there's life beyond our understanding.
➡️CLICK HERE TO DOWNLOAD ⬅️
Movie: Blast 2026
Rating ⭐️: 7.0 / 10
(7.0 based on 7 user ratings) | NR | 2h 23min |
Story Line: Follows a family trained to protect the powerless who become the most dangerous obstacle of all.
➡️CLICK HERE TO DOWNLOAD ⬅️
Movie: Predator: Badlands 2025
Rating ⭐️: 7.8 / 10
(7.8 based on 3161 user ratings) | PG-13 | 1h 47min |
Story Line: Cast out from his clan, a young Predator finds an unlikely ally in a damaged android and embarks on a treacherous journey in search of the ultimate adversary.
➡️CLICK HERE TO DOWNLOAD ⬅️
TV Series: On Patrol: First Shift 2022
Rating ⭐️: 7.0 / 10
(7.0 based on 7 user ratings) | TV-14 | 0h 42min |
Story Line: Dan Abrams, Sean "Sticks" Larkin and Curtis Wilson discuss what's in store for the upcoming episode of On Patrol: Live and provide a sneak peak of the departments and officers that the cameras will be following. The hosts will also look back at the most memorable moments from past episodes includi…
❤5
Showing the 12 most recent of 65 posts we hold for @iconflim. 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.
Citation-graph rank
Citation-graph rank — 808,272 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
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.
Cite this entry
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“ICON 𝕋𝕍” (@iconflim), 252,013 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/iconflim.
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.