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Channel

Marvel collections

@marvel_collection2

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

260,786subscribers

-25,583 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001958135069
TypeChannel
Username@marvel_collection2
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/marvel_collection2

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.

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 in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 31 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@marvel_collection2/3265 · this entry4 Aug 2026, 17:17 UTC@moviemmsub99/36796 Aug 2026, 17:33 UTC1.002 days
@marvel_collection2/3291 · this entry14 Aug 2026, 16:02 UTC@moviemmsub99/370214 Aug 2026, 16:04 UTC1.002 minutes
@moviemmsub99/370615 Aug 2026, 13:37 UTC@marvel_collection2/3297 · this entry16 Aug 2026, 15:47 UTC1.0026 hours
@moviemmsub99/370916 Aug 2026, 15:46 UTC@marvel_collection2/3298 · this entry16 Aug 2026, 15:47 UTC1.0072 seconds
@moviemmsub99/372119 Aug 2026, 16:13 UTC@marvel_collection2/3321 · this entry24 Aug 2026, 16:06 UTC1.005 days
@moviemmsub99/374825 Aug 2026, 14:43 UTC@marvel_collection2/3330 · this entry27 Aug 2026, 17:24 UTC1.002 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@moviemmsub9915 (8/8 hand-verifiable sample passed)1.0037 hoursthis entry (9–6)
@nightmoviemmsub15 (8/8 hand-verifiable sample passed)0.9923 hoursthis entry (9–6)
@myanmarmoviemm211 (8/8 hand-verifiable sample passed)1.0023 hoursthis entry (7–4)
@horrorfan211 (8/8 hand-verifiable sample passed)1.0078 minutesthis entry (8–3)
@trendmovie210 (8/8 hand-verifiable sample passed)1.0023 hoursthis entry (9–1)
@chinese_movie110 (8/8 hand-verifiable sample passed)1.0026 hoursthis entry (8–2)
@zatcarmovie9 (8/8 hand-verifiable sample passed)0.9925 hoursthis entry (5–4)
@cartoonuploadmsub9 (8/8 hand-verifiable sample passed)1.0027 hoursthis entry (6–3)
@k_drama_serie9 (8/8 hand-verifiable sample passed)1.0072 seconds@k_drama_serie (5–4)
@MMsubzatcar8 (8/8 hand-verifiable sample passed)0.9927 hoursthis entry (5–3)
@msubmovie28 (8/8 hand-verifiable sample passed)0.9938 hours@msubmovie2 (5–3)
@movietown20078 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (6–2)

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. 52 of the 52 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 94 comparable posts for this entry, running 1 August 2026 to 29 October 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).

Of the group of 31 channels, the one whose matching posts we hold earliest is @chinese_movie1. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 31 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

ɴɪᴄᴋᴇʟᴏᴅᴇᴏɴ ᴍᴏᴠɪᴇ ᴢᴏɴᴇ
@sithuaung2005 · Channel
372,964 subscribers
Korea Series collection
@k_drama_serie · Channel
322,663 subscribers
🍿𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗰𝗶𝗻𝗲𝗺𝗮 🍿
@movietown2007 · Channel
301,376 subscribers
𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗵𝗼𝗿𝗿𝗼𝗿
@horror2006 · Channel
277,746 subscribers
မြန်မာစာတန်းထိုးရုပ်ရှင်များ MMsub movie
@nightmoviemmsub · Channel
263,316 subscribers
မြန်မာစာတန်းထိုးကာတွန်းကားများ
@animecartoonmsub · Channel
263,249 subscribers
ကိုရီးယား/ကာတွန်းကား/သရဲကား
@msubmovie2 · Channel
259,065 subscribers
𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗩𝗜𝗣 𝗰𝗵𝗮𝗻𝗻𝗲𝗹
@nickelodeon_vip_channel · Channel
257,706 subscribers
သရဲကားသီးသန့်
@zatcarmovie · Channel
256,845 subscribers
ကာတွန်းကားသီးသန့်
@cartoonmovie3 · Channel
254,384 subscribers
မြန်မာစာတန်းထိုးဇာတ်ကားအစုံ
@zexx78 · Channel
251,793 subscribers
သရဲကားသီးသန့်
@horrorfan2 · Channel
250,790 subscribers
ကိုရီးယား/တရုတ်ဇာတ်လမ်းတွဲများ
@koreamoviemmsub2 · Channel
248,491 subscribers
New update channel
@myanmarmoviemm2 · Channel
248,168 subscribers
မြန်မာစာတန်းထိုးဇာတ်ကားများ 1
@MMsubzatcar · Channel
247,009 subscribers
တရုတ်သိုင်းကားသီးသန့်
@chinese_movie1 · Channel
244,583 subscribers
မြန်မာစာတန်းထိုးရုပ်ရှင်များ
@yoteshinmmsub · Channel
238,413 subscribers
မြန်မာစာတန်းထိုးကုလားကားများ
@moviekabar2005 · Channel
234,892 subscribers
India Movie Upload
@indiamovie2006 · Channel
234,371 subscribers
စာတန်းထိုးဇာတ်ကားများ
@cartoonuploadmsub · Channel
232,130 subscribers
Action Movie MMSub 🍿
@actionmoviemmsub · Channel
224,756 subscribers
ရုပ်ရှင်ဇာတ်ကားအစုံ
@trendmovie2 · Channel
223,659 subscribers
မုန်းမာန်ငြိုး
@cinemamyanmar2 · Channel
216,019 subscribers
Movieအက်ရှင်ဇာတ်ကားအစုံ
@seriesyoteshin · Channel
195,704 subscribers
မြန်မာစာတန်းထိုးဇာတ်ကားများ
@moviemmsub99 · Channel
169,330 subscribers
ချမ်းမြေ့စေကြောင်း
@cinemamyanmar1 · Channel
129,997 subscribers
စာတန်းထိုးဇာတ်ကားများ
@englishmovie199 · Channel
122,150 subscribers
Jili Myanmar Official🇲🇲
@jilimyanmarofficial · Channel
602 subscribers
👑 ရွှေရုပ် | Official Channel
@ShweYoke01 · Channel
222 subscribers

1 more channel is in this same group but not listed individually here.

Growth

260,786286,369273,577.57 August 202613 November 2026
64 measurements spanning 98 days, net -25,583. 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 256,949–290,206 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
13 Nov 2026, 14:56260,786-555
10 Nov 2026, 23:50261,341-460
9 Nov 2026, 06:48261,801-235
8 Nov 2026, 01:19262,036-346
6 Nov 2026, 22:09262,382-314
5 Nov 2026, 19:59262,696-227
4 Nov 2026, 17:46262,923-208
3 Nov 2026, 19:17263,131-216
2 Nov 2026, 17:06263,347-148
1 Nov 2026, 16:17263,495-330
31 Oct 2026, 12:56263,825-280
30 Oct 2026, 10:34264,105-218
29 Oct 2026, 13:38264,323-316
28 Oct 2026, 11:45264,639-174
27 Oct 2026, 15:05264,813-249
26 Oct 2026, 14:30265,062-312
25 Oct 2026, 12:15265,374-110
24 Oct 2026, 15:27265,484-367
23 Oct 2026, 17:36265,851-263
22 Oct 2026, 21:10266,114first reading

Engagement

94 posts held, back to 1 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 199 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.799%
avg views ÷ 260,786 subscribers
Avg views / post
2,080
3 posts measured
Reaction rate
0.256%
reactions ÷ views · ER floor
Posts in window
3
of 94 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 29 October 2026
Posts held94 (1 August 2026 – 29 October 2026)
Views total6,250
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 14:14 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

90 reactions across 49 posts, in 14 distinct kinds. The most used accounts for 70.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6370.0%
👀44.44%
👍44.44%
🔥44.44%
🍓22.22%
🎉22.22%
🏆22.22%
👏22.22%
🤗22.22%
👌11.11%
💯11.11%
😁11.11%
🤔11.11%
🥰11.11%

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 55 of the 94 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 94 most recent posts we hold, published 1 August 2026 to 29 October 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

Telegram’s own ‘edited’ marker: 0 of 3 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

29 Oct 2026, 15:36 UTC≈1,720 views5 reactionsread 13 November 2026
Photo

မစ်ကီမောက်ခေါင်းနဲ့ လူသတ်သမား Mickey Mouse လိုလူတိုင်းသိတဲ့ ချစ်စရာကောင်းတဲ့ Disney ရဲ့ Character လေးကိုမှ လူသတ်ကောင် Psychopath ကြီးသဖွယ် ကြောက်စရာကောင်းအောင်ပုံဖော်ရိုက်ကူးထားတဲ့ရုပ်ရှင်ဇာတ်လမ်းတွေကို မကြည့်ဖူးရင်တောင်မှ မြင်ဖူးသလိုလိုတော့ရှိနေကြမှာပါ။ အခုတင်ဆက်ပေးမဲ့ဇာတ်ကားလေးကလည်း အဲ့လိုမျိုးပုံစံဖန်တီးထားတဲ့ ဇာတ်ကားဖြစ်ပြီး သွေးထွက်သံယိုတွေကြောက်စရာ မြင်ကွင်းတွေအများကြီးပါဝင်မှာဖြစ်တဲ့အတွက် နှလုံးရောဂါရှိတဲ့လူတ…

❤4🤔1

22 Oct 2026, 17:18 UTC≈2,110 views3 reactionsread 13 November 2026
Photo

Man of War [2026] Review 📑 Action ကားကြမ်းကြမ်းတွေ ကြိုက်တဲ့သူတွေအတွက် ဇူလိုင်လ ၃ ရက်နေ့မှာ ထွက်ရှိထားတဲ့ ဒါရိုက်တာ William Kaufman ရဲ့ "Man of War" (2026) ဇာတ်ကားကြီးကို တင်ပေးထားပါတယ်။ ဒီကားက ရုပ်ရှင်ဝေဖန်ရေးသမားတွေက Rambo နဲ့ Taken ကို ပေါင်းစပ်ထားတဲ့ပုံစံမျိုးလို့ တင်စားကြပြီး ကြမ်းတမ်းတဲ့ စစ်မြေပြင်က အက်ရှင်ခန်းတွေကို အပြည့်အဝ ခံစားရမယ့် ကားတစ်ကားပါ။ 😍ကြည့်ရန်နှိပ်ပါ👇 t.me/threaterzone/1296 🎬 Main chann…

🤗2❤1

22 Oct 2026, 17:18 UTC≈2,420 views8 reactionsread 13 November 2026
Photo

Lamb [2021] Review 📃 Ingvar နဲ့ Maria လို့ခေါ်တဲ့ လင်မယားနှစ်ယောက်နဲ့စထားတယ်။ သူတို့ နှစ်ယောက်ဟာ ရေခဲတောင်ဒေသမှာ သိုးတွေကို မွေးမြူရင်း အတူနေထိုင်ကြပါတယ်။ သူတို့တွေက စိုက်ပျိုးမွေးမြူရေးကို လုပ်ကိုင်နေတဲ့ သာမန်စုံတွဲတစ်တွဲ… နိစ္စဓူ၀လုပ်ငန်းတွေကိုလုပ်ရင်း နှစ်ယောက်တည်း အထီးကျန်ဆန်တဲ့ဘ၀ကို နေထိုင်လျက်ပဲ ဒီလိုနဲ့ တစ်ရက် သူတို့လယ်ထဲမှာ သိုးလေးတစ်ကောင်ပေါက်လာတော့ သားသမီးရတနာမရှိတဲ့ လင်မယားဟာ ပေါက်လာတဲ့သိုးလေးကို သာ…

❤6🍓2

28 Sept 2026, 12:25 UTC≈3,380 views5 reactionsread 13 November 2026
Forwarded from @sithuaung2005Photo

မိတ်ဆွေတို့ရဲ့ လုပ်ငန်းကြော်ငြာများကို Subscriber များတဲ့ ချန်နယ်တွေမှာ ကြော်ငြာထည့်သွင်းလိုပါက Admin Acc ကို ဆက်သွယ်နိုင်ပါတယ် 😎 @sithuaung2006

❤3🏆2

22 Sept 2026, 17:29 UTC≈3,770 views2 reactionsread 13 November 2026
Photo

Pengantin Setan (aka) The Devil's Bride [2025] Review 📑 အစ္စလမ်ဘာသာဝင်အမျိုးသမီးတို့အတွက် ဂျင်န်နဲ့အိပ်မက်ထဲမှာချစ်ကြိုက်ပြီး အပြင်မှာချစ်သူရည်းစားထားမိတဲ့အခါ တစ်ဖက်ယောက်ျားလေးခိုက်တဲ့အပြင် နစ်နာသူမိန်းကလေးပါ သေဆုံးရတဲ့အဖြစ်တွေနဲ့ စိမ်းမှာမဟုတ်ပါဘူး။ ဂျင်န်တွေမှာ ကောင်းတဲ့ဂျင်န်ဆိုတာရှိသလို ဆိုးတဲ့ဂျင်န်တွေလည်းရှိပါတယ်။ ကောင်းတဲ့ဂျင်န်တွေက ဘာသာရေးအဆောက်အအုံတွေ၊ အိမ်တွေမှာ အစောင့်အရှောက်အနေနဲ့ရှိတတ်ကြပြီး ဆိုးတဲ့ဂျ…

❤1👌1

22 Sept 2026, 17:29 UTC≈3,390 views3 reactionsread 13 November 2026
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My Love [2021] Review 📑 On Your Wedding Dayကို ပြန်လည်ရိုက်ကူးထားတဲ့ တရုတ်အချစ်ကားလေးနဲ့ မိတ်ဆက်ပေးချင်ပါတယ်နော် ဒီကားလေးကတော့ မိန်းကလေး တစ်ယောက်တည်းကိုပဲ မပြောင်းလဲဘဲ ၁၅နှစ်တာလုံးချစ်ခဲ့တဲ့ ကောင်လေးတစ်ယောက်အကြောင်းကို ရိုက်ကူးပုံဖော်ထားတဲ့ ရိုမန့်ကားလေးပါ ဇာတ်ကြောင်းလေးကတော့… ကျိုးရှောင်ချီဆိုတဲ့ကောင်လေးက ကျောင်းမှာ အမြဲတမ်းရန်ဖြစ် ကျောင်းလစ်နေကျ ကောင်ဆိုးလေးတစ်ယောက်ပါ သူ့အသက် ၁၇နှစ်အရွယ်မှာပဲ ရှောင်ချီဟာ ကျောင်း…

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1 Sept 2026, 16:47 UTC≈4,890 views2 reactionsread 13 November 2026
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လေယာဉ်ပေါ်မှာ ရက် ၇၀ ပိတ်မိနေတဲ့ ခရီးသည်တွေ 😳😳 ➪➪➪➪➪➪➪➪➪➪➪➪➪➪ ဒီကားဟာ အကျည်းတန်တဲ့ဇာတ်လမ်းတစ်ပုဒ်ကို လှပတဲ့အဖြေပေးသွားတဲ့ ဇာတ်လမ်းလို့ပြောရမယ်။ ဒီလိုအချင်းအရာမျိုးကို ကျွန်တော်တို့ ဒါဦးဆုံးတွေ့ဖူးတာလည်း မဟုတ်တော့ပါဘူး။ My Neighbor Totoro တို့လို အရှိတရားရဲ့ရက်စက်ခြင်းတွေကို အနုပညာက ထွက်ပေါက်တစ်ခုပေးသွားတဲ့ ရုပ်ရှင်မျိုးတွေ မြင်ရပေါင်းမနည်းတော့ပါဘူး။ ကမ္ဘာကြီးမှာ အကျည်းတန်တဲ့နေရာတွေရှိသလို လူသားမှာလည်း ရက်စက်တဲ့အခါတ…

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1 Sept 2026, 16:47 UTC≈4,230 views1 reactionsread 13 November 2026
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သိုင်းဂိုဏ်းချုပ်၄ယောက်ကို ကယ်တင်နိုင်ဖို့အတွက် စိန်‌တောက်ဂိုဏ်းသခင်မကိုသတ်နိုင်မှရသောအခါ 😳😳 ➪➪➪➪➪➪➪➪➪➪➪➪➪➪ The seven swords သိုင်းကားကြိုက်နှစ်သက်သူတွေအတွက် ဇာတ်လမ်းကောင်းလေးပဲဖြစ်ပါတယ်အညွန်းလေးကတော့ သိုင်းလောကရဲ့ဂိုဏ်းချုပ်၄ယောက်ထူးဆန်းစွာပျောက်ဆုံးနေပါတယ်…တစ်ပြိုင်ထဲမှာပဲသိုင်းလောကရဲ့ကြေငြာစာထွက်ပေါလာခဲ့တယ်…ဂိုဏ်းချုပ်လေးယောက်ကိုဖမ်းခေါသွားတဲ့ ဝတ်ရုံနီဆံဖြူမိစ္ဆာမယိလန်ကျူးကိုဖမ်းဆီးပြီးေဂိုဏ်းချုပ်လေးယောက်ကိုကယ…

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1 Sept 2026, 02:44 UTC≈1,190 viewsread 13 November 2026
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🍔တခြားဆိုဒ်တွေမှာ ဆော့ကစားရင်း အရှုးတွေနဲ့ပဲ ရင်ဆိုင်နေရပြီလား? 📱ရွေးချယ်မှုမှန်ကန်ပြီး အနိုင်ရဖို အခွင့်အရေးကို လက်မလွတ်ချင်ရင် 🔥𝐊𝐲𝐚𝐭𝟎𝟔🔥 မှာလာကစားလိုက်ပါ ... ⚡️ ပျော်ရွှင်စရာ Gameplay မျိုးစုံ 🎁 တကယ်ရရှိနိုင်တဲ့ Rewards မျိုးစုံ 📱 စိတ်လှုပ်ရှားစရာ Promotion များ 👑 အားလုံးကို တစ်နေရာတည်းမှာ ခံစားနိုင်ပါပြီ။ 👽အကောင့်ဖွင့်ရန်🔽🔽🔽 🛒 ဂိမ်း ဆော့ဝဲလ်: https://f.kyat06t.xyz

31 Aug 2026, 02:40 UTC≈1,310 viewsread 13 November 2026
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🍔တခြားဆိုဒ်တွေမှာ ဆော့ကစားရင်း အရှုးတွေနဲ့ပဲ ရင်ဆိုင်နေရပြီလား? 📱ရွေးချယ်မှုမှန်ကန်ပြီး အနိုင်ရဖို အခွင့်အရေးကို လက်မလွတ်ချင်ရင် 🔥𝐊𝐲𝐚𝐭𝟎𝟔🔥 မှာလာကစားလိုက်ပါ ... ⚡️ ပျော်ရွှင်စရာ Gameplay မျိုးစုံ 🎁 တကယ်ရရှိနိုင်တဲ့ Rewards မျိုးစုံ 📱 စိတ်လှုပ်ရှားစရာ Promotion များ 👑 အားလုံးကို တစ်နေရာတည်းမှာ ခံစားနိုင်ပါပြီ။ 👽အကောင့်ဖွင့်ရန်🔽🔽🔽 🛒 ဂိမ်း ဆော့ဝဲလ်: https://f.kyat06t.xyz

30 Aug 2026, 12:25 UTC≈2,520 views4 reactionsread 13 November 2026
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သောက်ရမ်းမိုက် အက်ရှင်ကားသစ်ကြီး H-u-m-i-n-t (2-0-2-6) တောင်ကိုးရီးယား အမျိုးသားထောက်လှမ်းရေးအဖွဲ့က ဌာနမှူးဂျို (Zo In-Sung) ကတော့ အရှေ့တောင်အာရှမှာ ဖြစ်ပွားတဲ့ နိုင်ငံတကာ ရာဇဝတ်မှုတွေကို ခြေရာခံလိုက်နေသူပါ။ သူဟာ H-U-M-I-N-T စစ်ဆင်ရေးတစ်ခုအတွင်းမှာ အသက်ပေးလိုက်ရတဲ့ သတင်းပေး ချန်ထားခဲ့တဲ့ သဲလွန်စနောက်ကို လိုက်ပြီး ရုရှားနိုင်ငံ ဗလာဒီဗော့စတော့မြို့ဆီ ရောက်ရှိလာခဲ့ပါတယ်။ အဲဒီမြို့မှာ ဌာနမှူးဂျိုဟာ မြောက်ကိုးရီးယားစာ…

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30 Aug 2026, 12:25 UTC≈2,860 views3 reactionsread 13 November 2026
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ရှယ်ကြောက်ဖိုကောင်းတဲ့ ဇွန်ဘီကားသစ်ကြီး ++++++++ Z-o-m-b-i-e-s o-f t-h-e T-h-i-r-d R-e-i-c-h (2025) ဒီကားဟာ ဒုတိယကမ္ဘာစစ်နောက်ခံနဲ့ နာဇီဇွန်ဘီတွေကို အခြေခံထားတဲ့ Horror / Action B-Grade ရုပ်ရှင်တစ်ကား ဖြစ်ပါတယ်။ 😍ကြည့်ရန်နှိပ်ပါ👇 t.me/mmsubhorror1/1488 🎬 Main channel 🔗 t.me/addlist/43SAvNGGjGExNWVl

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Showing the 12 most recent of 94 posts we hold for @marvel_collection2. 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

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.

Mentions

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“Marvel collections” (@marvel_collection2), 260,786 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/marvel_collection2.

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.