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Channel

🔰 Ǥαтαʏα Ѳғғιcιαℓ Ʋρ∂αтɛƨ 🔰

@Gatayaofficialchannel

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

8,735subscribers

-324 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001316948350
TypeChannel
Username@Gatayaofficialchannel
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/Gatayaofficialchannel

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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)
Posted firstThenOverlapGap
@Gatayaofficialchannel/2553 · this entry23 Jun 2026, 11:02 UTC@Comics_World_GO/2315623 Jun 2026, 11:02 UTC1.00under a minute
@Gatayaofficialchannel/2557 · this entry27 Jun 2026, 10:39 UTC@Comics_World_GO/2316027 Jun 2026, 10:40 UTC1.00under a minute
@Gatayaofficialchannel/2560 · this entry4 Jul 2026, 02:29 UTC@Comics_World_GO/231634 Jul 2026, 02:29 UTC1.00under a minute
@Gatayaofficialchannel/2562 · this entry8 Jul 2026, 14:56 UTC@Comics_World_GO/231658 Jul 2026, 14:56 UTC1.00under a minute
@Gatayaofficialchannel/2563 · this entry10 Jul 2026, 11:32 UTC@Comics_World_GO/2316610 Jul 2026, 11:32 UTC1.00under a minute
@Gatayaofficialchannel/2565 · this entry13 Jul 2026, 11:17 UTC@Comics_World_GO/2316813 Jul 2026, 11:21 UTC1.004 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Comics_World_GO20 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (20–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 23 June 2026 to 6 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 @Gatayaofficialchannel — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,7359,0618,8986 August 2026 — 9,059 subscribers6 August 2026 — 9,061 subscribers10 August 2026 — 9,050 subscribers13 August 2026 — 9,027 subscribers16 August 2026 — 8,997 subscribers19 August 2026 — 8,962 subscribers22 August 2026 — 8,940 subscribers25 August 2026 — 8,916 subscribers28 August 2026 — 8,899 subscribers31 August 2026 — 8,884 subscribers3 September 2026 — 8,867 subscribers8 September 2026 — 8,829 subscribers12 September 2026 — 8,796 subscribers15 September 2026 — 8,782 subscribers25 September 2026 — 8,735 subscribers6 August 202625 September 2026
15 measurements spanning 49 days, net -324. 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 8,686–9,110 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 04:188,735-47
15 Sept 2026, 16:198,782-14
12 Sept 2026, 09:378,796-33
8 Sept 2026, 12:168,829-38
3 Sept 2026, 08:398,867-17
31 Aug 2026, 00:258,884-15
28 Aug 2026, 02:048,899-17
25 Aug 2026, 11:438,916-24
22 Aug 2026, 15:578,940-22
19 Aug 2026, 13:228,962-35
16 Aug 2026, 07:258,997-30
13 Aug 2026, 04:589,027-23
10 Aug 2026, 03:319,050-11
6 Aug 2026, 22:239,061+2
6 Aug 2026, 21:159,059first reading

Engagement

35 posts held, back to 23 June 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 31 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.435%
avg views ÷ 8,735 subscribers
Avg views / post
38.0
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 35 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held35 (23 June 2026 – 28 August 2026)
Views total38
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:57 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.

Reaction mix

7 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤457.1%
👍342.9%

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 7 of the 35 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 23 June 2026 to 28 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.

Recent posts

28 Aug 2026, 11:07 UTC38 viewsread 28 August 2026
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26 Aug 2026, 12:19 UTC152 viewsread 28 August 2026
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26 Aug 2026, 04:21 UTC145 viewsread 28 August 2026
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Demon Slayer ගැන හැමදේම! 🔥 Muzan, Hashira, Upper Moons, Yoriichi & Infinity Castle Sinhala Review 🔴 Demon Slayer Anime එක ලෝකයේ මෙතරම් ජනප්‍රිය වුණේ ඇයි? 🔴 Demon Slayer universe එක සහ Taisho Era එක 🔴 Muzan Kibutsujiගේ origin එක සහ ඔහුගේ අරමුණ 🔴 Twelve Kizuki සහ Lower Moons 🔴 Upper Moons සහ ඔවුන්ගේ powers 🔴 Demon Slayer Corps 🔴 සියලුම Hashira 🔴 Breathing Styles 🔴 Demon Slayer Mark 🔴 Yoriichi Tsugikuni 🔴 Yo…

25 Aug 2026, 18:56 UTC166 viewsread 28 August 2026
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Avengers: Endgame Encore Official Trailer Reaction Sinhala review 🔹 Endgame සහ Encore අතර වෙනස්කම් 🔹 Runtime ඇතුළු ප්‍රාධාන දේවල් ☝️ මේ හැමදෙයක් ගැනම පැහැදිලි කරනගමන් Reaction එකත් බලන්න 👇 ✅ https://youtu.be/Oavk51ugw0g ☝️ මේ Reaction Video එක බලන්න 👊

24 Aug 2026, 12:34 UTC247 viewsread 28 August 2026
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23 Aug 2026, 12:19 UTC247 viewsread 28 August 2026
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22 Aug 2026, 15:38 UTC141 viewsread 28 August 2026
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ඩූම්ස්ඩේ එකට එන අපේ හදවතේ ස්පයිඩි! | Avengers: Doomsday Theories sinhala review ⭕ Tobey Maguireගේ Spider man return වෙන එක ඇත්තක්ද? ⭕ Spider manව මරන්නේ Doomද? Wolverineද? ⭕ X menලා, Tobeyට Attack කරන්න එන්නෙ ඇයි? ⭕ Tobeyගේ Universe එකට මොකද වෙන්නේ? ⭕ Tobey, Avengers Secret wars වලට සම්බන්ධ වෙන්න පුලුවන් කොහොමද? ☝️මේ හැමදේම ගැන දැනගන්න 👇 ✅ https://youtu.be/5ynG0YFbuAw ☝️ මේ Review එක බලන්න 👊

20 Aug 2026, 10:50 UTC360 viewsread 28 August 2026
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19 Aug 2026, 10:35 UTC364 viewsread 28 August 2026
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අලුතෙන්ම එන විලන්? ඇතුළු නවතම තොරතුරු | D23 MCU X-MEN cast Sinhala Review 🔸 D23 Event එකේ Xmenලාට සම්බන්ධ තොරතුරු 🔸 අලුත්ම x-men cast එක මොන වගේද? 🔸 Villain කවුරු වෙන්න පුලුවන්ද? 🔸 අලුත්ම Movie එක මොන වගේද? 🔸 MCU එක තුළ mutantsලාගේ අනාගතය කොහොමද? ☝️ මේ හැමදේම ගැන දැනගන්න 👇 ✅ https://youtu.be/rH7nTvGmYSo ☝️ මේ Review එක බලන්න ❤️

18 Aug 2026, 10:52 UTC337 viewsread 28 August 2026
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තෝර් ගැන ඔයා නොදන්න දේවල්! | Thor Full Story, Origin, Powers & Greatest Feats Sinhala Review ⚡ Thorගේ Origin & Birth 👑 Odin සහ Thorගේ Relationship 🔨 Mjolnir & Donald Blake 🦸 Thor සහ Avengers 😈 Warrior’s Madness 🌳 Ragnarok & Thorගේ Return 💥 Thor vs Gorr & Black Winter 👑 All-Father Thor & Thor Force 🌌 Herald of Thunder & Galactus 🔨 Mjolnirගේ Abilities ⚡ Thorගේ Powers & Feats 🐍 Jormungandr, Mangog & Destroyer 🌌 Thor v…

17 Aug 2026, 11:31 UTC316 viewsread 28 August 2026
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මෙයාලා මෙච්චර විශේෂ වෙන්නේ ඇයි? | Green Lantern Corps Explained in Sinhala review 🟢 Green Lantern Corps එක කියන්නේ මොකක්ද? 🌌 Green Lanternලාගේ සැබෑ cosmic origin එක 🧪 Kronaගේ forbidden experiment එක 👽 Guardiansලාගේ evolution එක 🤖 කවුද මේ Manhuntersලා 🟢 Green Lantern Corps එක ඇති වුණේ කොහොමද? 💍 Green Lantern ring එකේ ඇත්තම power එක 🗣️ famous Green Lantern oath එකේ meaning එක 🌈 Green Lanternලා සහ Emotional Sp…

16 Aug 2026, 08:57 UTC163 views1 reactionsread 28 August 2026
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කවුරුත් නොදැකපු දේවල්! | Avengers: Doomsday SPECIAL LOOK Trailer Breakdown sinhala review 🔥 New Avengers: Doomsday Special Look එකේ opening scene එක 👑 Doctor Doom / Victor von Doom ගැන introduction එක 🧠 Victor Doomගේ intelligence සහ ඔහුගේ past එක 🏰 Doctor Doomගේ kingdom / Doomගේ environment එක 😈 Doomගේ overall appearance සහ armor details 🗣️ Doctor Doomගේ dialogue සහ ඒවායේ meaning ⚡ Thor සහ Doctor Doom confro…

❤1

Showing the 12 most recent of 35 posts we hold for @Gatayaofficialchannel. 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.

Forward network

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

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“🔰 Ǥαтαʏα Ѳғғιcιαℓ Ʋρ∂αтɛƨ 🔰” (@Gatayaofficialchannel), 8,735 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Gatayaofficialchannel.

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.