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Channel

🍿𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗰𝗶𝗻𝗲𝗺𝗮 🍿

@movietown2007

On this record: Topic ¡ Observations ¡ Also posting the same content ¡ Growth ¡ Engagement ¡ What this channel posts ¡ Reactions ¡ Posts ¡ Citations ¡ Telegram's recommendations ¡ Cite this entry

318,149subscribers

-13,183 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1001262083597
TypeChannel
Username@movietown2007
Descriptionမိတ်ဆွေတို့ရဲ့ စီးပွားရေးလုပ်ငန်းကြော်ငြာများ ထည့်သွင်းလိုပါက 👇 @vip_admin_3
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/movietown2007

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 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 2 other registered channels. They sit inside a group of 10 channels that share the same post bodies 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
@chinese_movie1/397031 Jul 2026, 12:02 UTC@movietown2007/15201 ¡ this entry1 Aug 2026, 16:56 UTC1.0029 hours
@movietown2007/15199 ¡ this entry31 Jul 2026, 12:21 UTC@chinese_movie1/39721 Aug 2026, 17:01 UTC1.0029 hours
@movietown2007/15204 ¡ this entry2 Aug 2026, 15:43 UTC@chinese_movie1/39762 Aug 2026, 15:49 UTC1.007 minutes
@movietown2007/15205 ¡ this entry2 Aug 2026, 15:43 UTC@chinese_movie1/39772 Aug 2026, 15:49 UTC1.007 minutes
@movietown2007/15207 ¡ this entry3 Aug 2026, 13:52 UTC@chinese_movie1/39803 Aug 2026, 13:58 UTC1.006 minutes
@movietown2007/15210 ¡ this entry4 Aug 2026, 17:17 UTC@chinese_movie1/39824 Aug 2026, 17:19 UTC1.003 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@chinese_movie18 (8/8 hand-verifiable sample passed)1.007 minutesthis entry (6–2)
@nightmoviemmsub5 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (3–2)

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. 1 of the 4 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 20 comparable posts for this entry, running 30 July 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 10, the earliest publisher we hold 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 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 9 other registered channels, 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.

ɴɪᴄᴋᴇʟᴏᴅᴇᴏɴ ᴍᴏᴠɪᴇ ᴢᴏɴᴇ
@sithuaung2005 ¡ Channel
393,036 subscribers
မြန်မာစာတန်းထိုးရုပ်ရှင်များ MMsub movie
@nightmoviemmsub ¡ Channel
279,375 subscribers
ကိုရီးယား/ကာတွန်းကား/သရဲကား
@msubmovie2 ¡ Channel
273,657 subscribers
𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗩𝗜𝗣 𝗰𝗵𝗮𝗻𝗻𝗲𝗹
@nickelodeon_vip_channel ¡ Channel
271,287 subscribers
မြန်မာစာတန်းထိုးဇာတ်ကားအစုံ
@zexx78 ¡ Channel
265,943 subscribers
မြန်မာစာတန်းထိုးဇာတ်ကားများ 1
@MMsubzatcar ¡ Channel
261,667 subscribers
တရုတ်သိုင်းကားသီးသန့်
@chinese_movie1 ¡ Channel
259,055 subscribers
စာတန်းထိုးဇာတ်ကားများ
@cartoonuploadmsub ¡ Channel
244,917 subscribers
Action Movie MMSub 🍿
@actionmoviemmsub ¡ Channel
236,896 subscribers

Growth

318,149331,332324,740.57 August 2026 — 331,332 subscribers7 August 2026 — 331,281 subscribers8 August 2026 — 330,944 subscribers9 August 2026 — 330,580 subscribers10 August 2026 — 330,180 subscribers11 August 2026 — 329,835 subscribers12 August 2026 — 329,484 subscribers13 August 2026 — 329,285 subscribers15 August 2026 — 328,945 subscribers16 August 2026 — 328,546 subscribers17 August 2026 — 327,936 subscribers18 August 2026 — 327,739 subscribers19 August 2026 — 327,205 subscribers20 August 2026 — 327,061 subscribers21 August 2026 — 326,856 subscribers23 August 2026 — 326,385 subscribers24 August 2026 — 325,909 subscribers25 August 2026 — 325,486 subscribers26 August 2026 — 325,246 subscribers27 August 2026 — 325,083 subscribers28 August 2026 — 324,760 subscribers29 August 2026 — 324,392 subscribers30 August 2026 — 324,169 subscribers31 August 2026 — 323,561 subscribers1 September 2026 — 323,193 subscribers3 September 2026 — 322,682 subscribers4 September 2026 — 322,202 subscribers7 September 2026 — 321,186 subscribers10 September 2026 — 320,221 subscribers12 September 2026 — 319,521 subscribers14 September 2026 — 319,060 subscribers15 September 2026 — 318,784 subscribers18 September 2026 — 318,149 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net -13,183. 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 316,172–333,309 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 08:40318,149-635
15 Sept 2026, 23:36318,784-276
14 Sept 2026, 09:55319,060-461
12 Sept 2026, 20:40319,521-700
10 Sept 2026, 19:36320,221-965
7 Sept 2026, 19:19321,186-1,016
4 Sept 2026, 21:40322,202-480
3 Sept 2026, 06:07322,682-511
1 Sept 2026, 22:14323,193-368
31 Aug 2026, 20:13323,561-608
30 Aug 2026, 17:36324,169-223
29 Aug 2026, 16:35324,392-368
28 Aug 2026, 16:24324,760-323
27 Aug 2026, 16:11325,083-163
26 Aug 2026, 12:54325,246-240
25 Aug 2026, 16:13325,486-423
24 Aug 2026, 13:19325,909-476
23 Aug 2026, 00:24326,385-471
21 Aug 2026, 13:49326,856-205
20 Aug 2026, 16:23327,061first reading

Engagement

78 posts held, back to 30 July 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 100 pages of Telegram’s post history, 20 posts per page.

ERR ¡ 30 days
0.271%
avg views á 318,149 subscribers
Avg views / post
861
46 posts measured
Reaction rate
0.097%
reactions á views ¡ ER floor
Posts in window
46
of 78 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 19 of 46 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days ¡ latest post in window 24 September 2026
Posts held78 (30 July 2026 – 24 September 2026)
Views total39,614
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 19:24 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
≈4,220
Videos
≈310
Links
≈3,530

Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
6m 58s
Average length
19s

Measured directly from 22 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.

Reaction mix

63 reactions across 37 posts, in 3 distinct kinds. The most used accounts for 95.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6095.2%
👍23.17%
🍓11.59%

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 39 of the 78 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 63 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 78 most recent posts we hold, published 30 July 2026 to 24 September 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

24 Sept 2026, 17:14 UTC79 views0 reactionsread 24 September 2026
Photo

မင်းသားကြီး ဘရက်ပစ်ရဲ့ ကားသစ်ကြီး မျက်ရည်ခိုင်မှကြည့်ပါ အလာစကာ တောအုပ်ကြီးထဲကို လေယာဉ်ပျက်ကျသွားခဲ့တဲ့ စစ်သားကြီးနဲ့ခွေးလေး ဇာတ်လမ်းအကျဉ်းကတော့ - Special force အရာရှိဟောင်းဟာ တိုက်ပွဲတစ်ခုကနေ ပြီးတော့ လေယာဉ်ပျက်ကျကာ အလာစကာ ရဲ့ ဝေးလံတဲ့ တောအုပ်တစ်ခုထဲမှာ သူ့ရဲ့စစ်တိုက်ခွေးလေးနဲ့အတူ သောင်တင်ခဲ့ပါတယ်။ လူဖြစ်ဖြစ် တိရစ္ဆာန်ဖြစ်ဖြစ် ရက်စက်စွာ ဆက်ဆံတဲ့ အလာစကာ တောအုပ်ကြီးရဲ့ အလယ်မှာ စစ်သားတစ်ယောက်ရဲ့ အတွေ့အကြုံတွေကို အသ…

24 Sept 2026, 17:14 UTC65 viewsread 24 September 2026
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ဇွန်ဘီကားသစ်ကြီး [၂၀၂၆] ++++++++ ရက်စီဒန့် အီဗဲလ် ဂိမ်းကို လူကားပြန်ရိုက်ထားတဲ့ ဇာတ်ကားသစ်ကြီး ဇာတ်လမ်းအကျဉ်းကတော့ ဆေးဘက်ဆိုင်ရာ ပစ္စည်းတွေလိုက်ပို့ပေးရတဲ့ ကောငိလေးဟာ အမ်ဘရဲလား သုတေသနအဖွဲ့အစည်းကနေ ပစ္စည်းကို ရက်ကွန်း မြို့ ရဲ့ ရက်ကွန်းဂျန်နရယ် ဆေးရုံကို ပို့ပေးဖို့ဖြစ်လာပါတော့တယ်။ သူဟာ ထို လျှို့ဝှက်ထားတဲ့ ဆေးပစ္စည်းကိုပို့ပေးဖို့လုပ်နေရင်းနဲ့ ယာဉ်မတော်တဆမှုဖြစ်ကာ ဆေး ထဲက ဗိုင်းရက်စ်တွေကလဲ ပေါက်သွားပြီး အနီးနားရှ…

24 Sept 2026, 17:13 UTC17 viewsread 24 September 2026
Video

တောင်ပေါ်သားရှမ်းကိုးမီး၊ဘူကြီး၊ Club 388 ၊ Shan world Bat man ၊ Live 22 ၊ တနေရာထဲ ဆော့ကစားချင်ရင် ကျွန်မတို Lucky Star Online Game Service ဆီသို ဖိတ်ခေါ်ပါတယ်ရှင် မန်ဘာအဖွဲဝင်ပေါင်းထောင်ကျော် ဆော့ကစားနေသော ဂိမ်းဆိုဒ် ဖြစ်တဲ့အတွက်ကြောင့် ငွေထုတ်မပေးခြင်း ၊ ဂိမ်းအကောင့်ပိတ်ခြင်းတို လုံးဝ မရှိပါရှင်။ ဝိုင်းပြောင်းမလား? ဒိုင်ရှာမလား ? စိတ်ကြိုက်ဆော့ကစားနိုင်ပြီး မန်ဘာကြေး 50 % ဘောနပ် နေ့စဉ်ငွေသွင်းတိုင်း 10% ဘောနပ် ပေးထ…

23 Sept 2026, 16:47 UTC276 viewsread 24 September 2026
Photo

ရင်ထဲက အစွန်းအထင်း [၂၀၂၆] 😍ကြည့်ရန်နှိပ်ပါ👇 t.me/zzzmovie2/2676 🎬 Main channel 🔗 t.me/addlist/43SAvNGGjGExNWVl

23 Sept 2026, 16:47 UTC240 viewsread 24 September 2026
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ချင်းထုံကိုယ်ရံတော်အဖွဲ (青铜护卫队) Bronze Guard Corps 2026 Movie (720p) 😍ကြည့်ရန်နှိပ်ပါ👇 t.me/zzzmovie2/2674 🎬 Main channel 🔗 t.me/addlist/43SAvNGGjGExNWVl

23 Sept 2026, 16:47 UTC101 viewsread 24 September 2026
Video

တောင်ပေါ်သားရှမ်းကိုးမီး၊ဘူကြီး၊ Club 388 ၊ Shan world Bat man ၊ Live 22 ၊ တနေရာထဲ ဆော့ကစားချင်ရင် ကျွန်မတို Lucky Star Online Game Service ဆီသို ဖိတ်ခေါ်ပါတယ်ရှင် မန်ဘာအဖွဲဝင်ပေါင်းထောင်ကျော် ဆော့ကစားနေသော ဂိမ်းဆိုဒ် ဖြစ်တဲ့အတွက်ကြောင့် ငွေထုတ်မပေးခြင်း ၊ ဂိမ်းအကောင့်ပိတ်ခြင်းတို လုံးဝ မရှိပါရှင်။ ဝိုင်းပြောင်းမလား? ဒိုင်ရှာမလား ? စိတ်ကြိုက်ဆော့ကစားနိုင်ပြီး မန်ဘာကြေး 50 % ဘောနပ် နေ့စဉ်ငွေသွင်းတိုင်း 10% ဘောနပ် ပေးထ…

22 Sept 2026, 17:25 UTC335 views1 reactionsread 24 September 2026
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ကိုယ့်ရဲ့အတွေးအခေါ်ပြောင်းလဲနိုင်ဖို့ ပညာပေးမယ့်ဇာတ်ကားကြည့်ဖို့ဘဲလိုတယ် A Beautiful Mind [2001] Review 📜 ဂဏန်းသင်္ချာပညာရှင် John Nash ၏ ဖြစ်ရပ်မှန်ဘဝကို အခြေခံရိုက်ကူးထားသည့် ဇာတ်ကားဖြစ်သည်။ထူးချွန်ထက်မြက်လွန်းသည့် Nash သည် Princeton တက္ကသိုလ်တွင် ပညာသင်ကြားနေစဉ်အတွင်း ၎င်း၏ ပညာရပ်ပိုင်းဆိုင်ရာ အောင်မြင်မှုများအပြင် စိတ်ပိုင်းဆိုင်ရာ ဖိစီးမှုများ၊ အတိတ်က အမှောင်ဖုံးနေသည့် ရောဂါဝေဒနာတစ်ခုနှင့် ရင်ဆိုင်ကြုံတွေ့ရပု…

❤1

22 Sept 2026, 17:25 UTC286 viewsread 24 September 2026
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ရေညှိရောင်းပြီး ဘီလီယံနာဖြစ်သွားတဲ့ကောင်းလေး The Billionaire [2011] Review 📜 ဒီထိုင်းဇာတ်ကားဟာ တကယ့်အဖြစ်အပျက်ကို အခြေခံရိုက်ကူးထားတာဖြစ်ပြီး တကယ်ကြည့်လို့ကောင်းတဲ့ ဇာတ်ကားကောင်းတစ်ကားပါ။ထွက်ထားတာ ကြာပြီဆိုပေမယ့် တကယ် ကြည့်ကောင်းတဲ့ Z ကားကောင်းလေးမလို့ အားလုံးကြည့်လို့ရအောင် တင်ပေးလိုက်ပါတယ်ခင်ဗျ။ ဇာတ်လမ်းအကျဉ်းကိုပြောပြပေးရမယ်ဆိုရင် Ta*o K*ae No*i ရေညှိလေးကို တော်တော်များများ သိကြမယ်ထင်ပါတယ်။ Ta*o K*ae No*i ကို …

22 Sept 2026, 17:24 UTC51 viewsread 24 September 2026
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တောင်ပေါ်သားရှမ်းကိုးမီး၊ဘူကြီး၊ Club 388 ၊ Shan world Bat man ၊ Live 22 ၊ တနေရာထဲ ဆော့ကစားချင်ရင် ကျွန်မတို Lucky Star Online Game Service ဆီသို ဖိတ်ခေါ်ပါတယ်ရှင် မန်ဘာအဖွဲဝင်ပေါင်းထောင်ကျော် ဆော့ကစားနေသော ဂိမ်းဆိုဒ် ဖြစ်တဲ့အတွက်ကြောင့် ငွေထုတ်မပေးခြင်း ၊ ဂိမ်းအကောင့်ပိတ်ခြင်းတို လုံးဝ မရှိပါရှင်။ ဝိုင်းပြောင်းမလား? ဒိုင်ရှာမလား ? စိတ်ကြိုက်ဆော့ကစားနိုင်ပြီး မန်ဘာကြေး 50 % ဘောနပ် နေ့စဉ်ငွေသွင်းတိုင်း 10% ဘောနပ် ပေးထ…

21 Sept 2026, 17:03 UTC511 viewsread 24 September 2026
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ဆာလောင်နေတဲ့ရေမြင်းကြီးကိုရင်ဆိုင်ရမယ့် survival ဇာတ်ကား 😳😳 ➪➪➪➪➪➪➪➪➪➪➪➪➪➪ လူဝီစီယားနားပြည်နယ်က ရွှံ့နွံတောထဲမှာ မိကျောင်းကြည့်ဖို့ လှေစီးထွက်လာတဲ့ ကမ္ဘာလှည့်ခရီးသည်တစ်စုဟာ လမ်းပျောက်ပြီး သွေးဆာနေတဲ့ ရေမြင်းဆိုးကြီးတစ်ကောင်ရဲ့ ပစ်မှတ် ဖြစ်သွားပါတော့တယ်။ဒီဇာတ်ကားဟာ မျက်စိနောက်စရာ CGI တွေ သိပ်မသုံးဘဲ တကယ့် ရုပ်လုံးရုပ်ထွက် (Practical Effects) တွေနဲ့ ရိုက်ကူးထားလို့ ပိုပြီး သဘာဝကျကျ သွေးပျက်ဖို့ကောင်းပါတယ်။ Survival H…

21 Sept 2026, 16:51 UTC142 viewsread 24 September 2026
Video

တောင်ပေါ်သားရှမ်းကိုးမီး၊ဘူကြီး၊ Club 388 ၊ Shan world Bat man ၊ Live 22 ၊ တနေရာထဲ ဆော့ကစားချင်ရင် ကျွန်မတို Lucky Star Online Game Service ဆီသို ဖိတ်ခေါ်ပါတယ်ရှင် မန်ဘာအဖွဲဝင်ပေါင်းထောင်ကျော် ဆော့ကစားနေသော ဂိမ်းဆိုဒ် ဖြစ်တဲ့အတွက်ကြောင့် ငွေထုတ်မပေးခြင်း ၊ ဂိမ်းအကောင့်ပိတ်ခြင်းတို လုံးဝ မရှိပါရှင်။ ဝိုင်းပြောင်းမလား? ဒိုင်ရှာမလား ? စိတ်ကြိုက်ဆော့ကစားနိုင်ပြီး မန်ဘာကြေး 50 % ဘောနပ် နေ့စဉ်ငွေသွင်းတိုင်း 10% ဘောနပ် ပေးထ…

19 Sept 2026, 17:12 UTC142 viewsread 24 September 2026
Video

တောင်ပေါ်သားရှမ်းကိုးမီး၊ဘူကြီး၊ Club 388 ၊ Shan world Bat man ၊ Live 22 ၊ တနေရာထဲ ဆော့ကစားချင်ရင် ကျွန်မတို Lucky Star Online Game Service ဆီသို ဖိတ်ခေါ်ပါတယ်ရှင် မန်ဘာအဖွဲဝင်ပေါင်းထောင်ကျော် ဆော့ကစားနေသော ဂိမ်းဆိုဒ် ဖြစ်တဲ့အတွက်ကြောင့် ငွေထုတ်မပေးခြင်း ၊ ဂိမ်းအကောင့်ပိတ်ခြင်းတို လုံးဝ မရှိပါရှင်။ ဝိုင်းပြောင်းမလား? ဒိုင်ရှာမလား ? စိတ်ကြိုက်ဆော့ကစားနိုင်ပြီး မန်ဘာကြေး 50 % ဘောနပ် နေ့စဉ်ငွေသွင်းတိုင်း 10% ဘောနပ် ပေးထ…

Showing the 12 most recent of 78 posts we hold for @movietown2007. 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

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

ɴɪᴄᴋᴇʟᴏᴅᴇᴏɴ ᴍᴏᴠɪᴇ ᴢᴏɴᴇ
@sithuaung2005 ¡ 393,036
#1
ရမ္မက်ကကြိုး
@cinemamyanmar2 ¡ 228,700
#2
တရုတ်သိုင်းကားသီးသန့်
@chinese_movie1 ¡ 259,055
#3
မြန်မာစာတန်းထိုးကုလားကားများ
@moviekabar2005 ¡ 248,578
#4
မြန်မာစာတန်းထိုးကာတွန်းကားများ
@animecartoonmsub ¡ 278,390
#5
စီဗီ‌ရေးပေးမယ်
@cvyepaymel ¡ 119,205
#6
Porn Hub Channel
@Frankly_Speaking_MMSub ¡ 245,139
#7
စာတို ကဗျာ ဆရာမဂျူး အောင်ချိမ့်
@sato_poem ¡ 15,285
#8
𝖢𝗈υρᥣ౿ ρ𝖿ρ ️
@goldenfishcouple707 ¡ 14,134
#9
K Lovers Myanmar(Movies)
@KLoversMyanmar ¡ 193,447
#10
Cartoon and Anime (Movie Mart Myanmar)
@cartoonandanimechannel ¡ 54,994
#11
ကဗျာ စာတို ဆရာအောင်ချိမ့်
@myanmar_poem1 ¡ 291,219
#12

Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Porn Hub Channel
@Frankly_Speaking_MMSub ¡ 245,139
Telegram ranks this channel #1 of 15 here — alongside 14 others — read 20 August 2026
ရမ္မက်ကကြိုး
@cinemamyanmar2 ¡ 228,700
Telegram ranks this channel #1 of 11 here — alongside 10 others — read 20 August 2026
ɴɪᴄᴋᴇʟᴏᴅᴇᴏɴ ᴍᴏᴠɪᴇ ᴢᴏɴᴇ
@sithuaung2005 ¡ 393,036
Telegram ranks this channel #1 of 15 here — alongside 14 others — read 20 August 2026
𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗵𝗼𝗿𝗿𝗼𝗿
@horror2006 ¡ 292,858
Telegram ranks this channel #2 of 17 here — alongside 16 others — read 24 August 2026
တရုတ်သိုင်းကားသီးသန့်
@chinese_movie1 ¡ 259,055
Telegram ranks this channel #2 of 12 here — alongside 11 others — read 20 August 2026
မြန်မာစာတန်းထိုးကုလားကားများ
@moviekabar2005 ¡ 248,578
Telegram ranks this channel #2 of 12 here — alongside 11 others — read 20 August 2026
မြန်မာစာတန်းထိုးဇာတ်ကားများ
@moviemmsub99 ¡ 178,012
Telegram ranks this channel #3 of 15 here — alongside 14 others — read 24 August 2026
Cartoon and Anime (Movie Mart Myanmar)
@cartoonandanimechannel ¡ 54,994
Telegram ranks this channel #3 of 13 here — alongside 12 others — read 23 August 2026
မြန်မာစာတန်းထိုးကာတွန်းကားများ
@animecartoonmsub ¡ 278,390
Telegram ranks this channel #3 of 19 here — alongside 18 others — read 20 August 2026
ကာတွန်းကားများ
@cartoonkb ¡ 163,417
Telegram ranks this channel #6 of 21 here — alongside 20 others — read 24 August 2026
Happy Chinese Channel
@Happy_CDrama_Channel ¡ 58,808
Telegram ranks this channel #6 of 7 here — alongside 6 others — read 22 August 2026
K Drama Channel 🤎
@K_drama_mmsub_channel ¡ 80,636
Telegram ranks this channel #9 of 29 here — alongside 28 others — read 20 August 2026
ချစ်လှစွာသောသတိုးသား golden boy
@Yalicapkini_MM_SUB ¡ 238,971
Telegram ranks this channel #11 of 23 here — alongside 22 others — read 20 August 2026
Korea Drama Channel
@korea_drama_mmsub ¡ 126,712
Telegram ranks this channel #16 of 20 here — alongside 19 others — read 20 August 2026

This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“🍿𝗡𝗶𝗰𝗸𝗲𝗹𝗼𝗱𝗲𝗼𝗻 𝗰𝗶𝗻𝗲𝗺𝗮 🍿” (@movietown2007), 318,149 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/movietown2007.

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.