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Channel

18+ MM JAV

@Russi32

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

164,910subscribers

+142,790 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1002364560364
TypeChannel
Username@Russi32
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live14 November 2026
Measurements held53
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/Russi32

Topic

Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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 5 other registered channels. This entry also sits inside a group of 60 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 (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Promax120/5019 Aug 2026, 07:31 UTC@Russi32/3301 · this entry9 Aug 2026, 07:32 UTC1.00under a minute
@Promax120/60915 Aug 2026, 09:19 UTC@Russi32/3409 · this entry15 Aug 2026, 09:19 UTC1.00under a minute
@Promax120/62116 Aug 2026, 05:49 UTC@Russi32/3421 · this entry16 Aug 2026, 05:49 UTC1.00under a minute
@Promax120/66818 Aug 2026, 11:36 UTC@Russi32/3468 · this entry18 Aug 2026, 11:36 UTC1.00under a minute
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
@Promax12033 (8/8 hand-verifiable sample passed)1.00under a minute@Promax120 (27–6)
@pokpok10213 (8/8 hand-verifiable sample passed)1.003 daysthis entry (7–6)
@pokgyi113 (8/8 hand-verifiable sample passed)1.005 days@pokgyi1 (7–6)
@TheYeKarmyar129 (8/8 hand-verifiable sample passed)1.0031 hours@TheYeKarmyar12 (9–0)
@Androidgamechannelmyanmar7 (7/7 hand-verifiable sample passed)1.0018 daysthis entry (7–0)

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. 40 of the 40 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 100 comparable posts for this entry, running 8 August 2026 to 12 November 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 60 channels, the one whose matching posts we hold earliest is @YotThanSone. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 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 60 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.

စာတိုက် ငါတို့ကဗျာ Story
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သရဲကားဖန်ကလပ် 👻
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46,437 subscribers
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@pokgyi1 · Channel
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@listeningtomusic1 · Channel
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9 more channels are in this same group but not listed individually here.

Growth

8,326164,91086,6189 August 2026 — 22,120 subscribers9 August 2026 — 22,120 subscribers9 August 2026 — 22,109 subscribers10 August 2026 — 22,082 subscribers11 August 2026 — 22,055 subscribers12 August 2026 — 22,032 subscribers13 August 2026 — 22,014 subscribers14 August 2026 — 21,974 subscribers16 August 2026 — 21,934 subscribers17 August 2026 — 22,946 subscribers18 August 2026 — 22,870 subscribers19 August 2026 — 15,339 subscribers20 August 2026 — 11,832 subscribers22 August 2026 — 11,512 subscribers23 August 2026 — 11,310 subscribers25 August 2026 — 11,227 subscribers26 August 2026 — 9,284 subscribers29 August 2026 — 9,197 subscribers1 September 2026 — 9,091 subscribers6 September 2026 — 8,977 subscribers11 September 2026 — 8,808 subscribers15 September 2026 — 8,592 subscribers27 September 2026 — 8,478 subscribers5 October 2026 — 8,326 subscribers11 October 2026 — 12,282 subscribers14 October 2026 — 13,747 subscribers15 October 2026 — 14,099 subscribers16 October 2026 — 14,299 subscribers17 October 2026 — 14,612 subscribers18 October 2026 — 14,984 subscribers19 October 2026 — 15,192 subscribers20 October 2026 — 15,416 subscribers21 October 2026 — 15,692 subscribers22 October 2026 — 15,964 subscribers23 October 2026 — 16,126 subscribers24 October 2026 — 16,242 subscribers25 October 2026 — 16,223 subscribers26 October 2026 — 16,190 subscribers27 October 2026 — 16,174 subscribers28 October 2026 — 16,193 subscribers29 October 2026 — 16,164 subscribers31 October 2026 — 16,168 subscribers1 November 2026 — 16,170 subscribers2 November 2026 — 16,211 subscribers3 November 2026 — 16,570 subscribers4 November 2026 — 16,604 subscribers5 November 2026 — 16,633 subscribers6 November 2026 — 16,622 subscribers7 November 2026 — 16,669 subscribers8 November 2026 — 120,569 subscribers10 November 2026 — 145,542 subscribers11 November 2026 — 160,339 subscribers14 November 2026 — 164,910 subscribers9 August 202614 November 2026
53 measurements spanning 97 days, net +142,790. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
14 Nov 2026, 18:08164,910+4,571
11 Nov 2026, 21:40160,339+14,797
10 Nov 2026, 00:35145,542+24,973
8 Nov 2026, 14:36120,569+103,900
7 Nov 2026, 09:4116,669+47
6 Nov 2026, 08:3916,622-11
5 Nov 2026, 09:0716,633+29
4 Nov 2026, 10:3716,604+34
3 Nov 2026, 07:5616,570+359
2 Nov 2026, 09:2716,211+41
1 Nov 2026, 11:2416,170+2
31 Oct 2026, 14:3716,168+4
29 Oct 2026, 08:2816,164-29
28 Oct 2026, 06:5816,193+19
27 Oct 2026, 05:4116,174-16
26 Oct 2026, 03:0516,190-33
25 Oct 2026, 03:4716,223-19
24 Oct 2026, 07:1916,242+116
23 Oct 2026, 10:4616,126+162
22 Oct 2026, 12:1715,964first reading

Engagement

148 posts held, back to 8 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.36%
avg views ÷ 164,910 subscribers
Avg views / post
5,540
9 posts measured
Reaction rate
0.261%
reactions ÷ views · ER floor
Posts in window
9
of 148 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 14 November 2026
Posts held148 (8 August 2026 – 14 November 2026)
Views total49,840
Reactions total130
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 18:09 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
845
Videos
485
Links
702

Lifetime counters from Telegram’s own channel header, read 14 November 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.

Video runtime
22h 42m
Average length
24m 46s

Measured directly from 55 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

473 reactions across 39 posts, in 7 distinct kinds. The most used accounts for 91.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤43191.1%
👍275.71%
👏71.48%
❤‍🔥30.634%
🌚20.423%
🥰20.423%
🔥10.211%

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 148 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 473 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 148 most recent posts we hold, published 8 August 2026 to 14 November 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: 2 of 9 posts held from the last 30 days (22.2%) 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).

14 Nov 2026, 02:56 UTC≈1,860 views6 reactionsread 14 November 2026
Photo

EBOD-512 ဒီဇာတ်လမ်းလေးကတော့ အားကစားလိုက်စားတဲ့ ပလေးဂဲလ် စားဆော်ကြီးတစ်ယောက်အကြောင်းပါ အားကစားလိုက်စားတဲ့ Saki Okuda ဟာ နေ့တိုင်းနီးပါး အပြေးလေ့ကျင့်လေ့ရှိပြီး gym လဲပုံမှန်ဆော့သူပါ အားကစားဝတ်စုံလေးနဲ့ အလှအပတွေပေါ်လွင်လွန်းလှတဲ့ သူမကို မြင်သူတကာတိုင်း ငေးရပါတယ် ရဲတင်းပွင့်လင်းလွန်းလှတဲ့သူမကလဲ သူမကိုမိတ်ဖွဲလာသူမှန်သမျှကို မရအရဆွဲစားတတ်ပါတယ် အစားအသောက်ဆိုနေရာမရွေးတဲ့သူမဟာ ပြေးနေရင်းလဲလမ်းမှာစား၊ gym မှာလဲစား၊ ရေအိမ်မှာလ…

❤5👍1

12 Nov 2026, 15:11 UTC≈3,580 views13 reactionsread 14 November 2026
Video

JUFE-591 မြန်မာစာတန်းထိုး ဂျပန်မလေးတွေ ငမဲတွေဆို သိပ်ကြိုက်တာ 😭

👍9❤4

12 Nov 2026, 15:11 UTC≈3,640 views16 reactionsread 14 November 2026
Photo

ဂျပန်မလေးတွေ ငမဲတွေဆို သိပ်ကြိုက်တာ 😭 မြန်မာစာတန်းထိုး JUFE-591 Jun Suehiro ယောက်ျားက ဆန္ဒပြည့်အောင် မဖြည့်စီးပေးနိုင်တော့ နိုင်ငံခြားသား ကိုတုတ်ကြီးအပေါ် သာယာမိတဲ့ ဇာတ်ကားလေးဖြစ်ပါတယ်....

❤16

10 Nov 2026, 06:16 UTC≈5,800 views14 reactionsread 14 November 2026
Photo

JUQ 191 🔞🔞 မြန်မာစာတန်းထိုး အိမ်ထောင်ပြုပြီး မကြာခင်မှာပဲ ခင်ပွန်းဖြစ်သူက အလုပ်ပြုတ်သွားတာကြောင့် တိုက်ခန်းဝယ်ထားတဲ့ အကြွေးတွေဆပ်ဖို့ Aoi တစ်ယောက် သူမရဲ့လက်ရှိအလုပ်ကိုပဲ အားကိုးနေရတော့တာပေါ့ ဒါပေမယ့်လည်း သူမလုပ်နေတဲ့ကုမ္ပဏီက ဒေဝါလီခံရမယ့်အရေးကြုံနေတဲ့အခါ ကုမ္ပဏီကို ကယ်တင်ဖို့ ရွေးချယ်စရာမရှိဘဲ သူမဘာတွေပေးဆပ်လိုက်ရမလဲ...

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10 Nov 2026, 06:16 UTC≈5,810 views19 reactionsread 14 November 2026
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JUQ 191 (မြန်မာစာတန်းထိုး) SD

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9 Nov 2026, 04:09 UTC≈7,100 views18 reactionsread 14 November 2026
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STARS-309 Suzu Honjo (Reducing Mosaic) မြန်မာစာတန်းထိုး မိန်းမက ခရီးသွားခါနီးတောင် ဘာမှမလုပ်တတ်တဲ့ယောကျ်ားအတွက်စိတ်ပူပြီး အချစ်ဆုံးသူငယ်ချင်းလေးSuzuကို ယောကျ်ားအဖော်ရဖို့အိမ်မှာနေခိုင်းခဲ့မိရာကနေ စံပယ်ရယ်သူငယ်ချင်းတွေမို့တွေဖြစ်ကုန်မယ့်အနေအထားလေးကိုမြင်တွေ့ကြရမှာပါဗျ...... Director: Goemon Label: Sod Star Studio: Sod Create Cast(s): Suzu Honjo Genre(s): Featured Actress, Creampie, Cheating Wife, Drama, Sle…

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9 Nov 2026, 04:09 UTC≈7,110 views16 reactionsread 14 November 2026
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STARS-309 Suzu Honjo (Reducing Mosaic) မြန်မာစာတန်းထိုး

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8 Nov 2026, 13:00 UTC≈6,870 views16 reactionsread 13 November 2026
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MIMK-231 Himari (Reducing Mosaic) မြန်မာစာတန်းထိုး Himari ဆိုတဲ့ JAV မင်းသမီးကြီးကတော့ ပေါ်လာတာမကြာသေးသလို ထွက်ထားတဲ့ကားတွေလဲနည်းသေးပေမယ့် ဒီလောကမှာ ကြာမြင့်နေတဲ့ တကယ့်ဝါရင့်သရုပ်ဆောင်တွေနဲ့ယှဉ်ဖိုက်လို့ရတဲ့ ဆိုက်ကြီးကြီးနဲ့ Ultra Cup ကြီးဖြစ်ပါတယ်။ ရုပ်ရည်နုနုနယ်နယ်နဲ့ MILF ဆိုက်ကြီးဖြစ်တာမလို့ သူ့ပရိတ်သတ်တွေလဲ မနည်းပါဘူး။ ဒီဇာတ်လမ်းကတော့ MIMK စီးရီးတွေ ထုံးစံအတိုင်း Adult ရုပ်ပြဇာတ်လမ်းတွေကို Live-action ရိုက်ကူ…

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6 Nov 2026, 06:11 UTC≈8,070 views12 reactionsread 13 November 2026
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IPX 661 ( JAV ) (mmsub) Tsubasa Amami တစ်ယောက်အိမ်ထောင်ကြပြီးနောက်ပိုင်းကိုယ်အလေးချိန်တက်လာပြီးဗိုက်ခေါက်တွေထွက်လာခဲ့ပါတယ်။သူမဝလာပြီးနောက်ပိုင်းမှာသူမယောင်္ကျားကလည်းသူမကိုဖောင်းဒိုင်းမပေးဖြစ်တော့တာကြာပါပြီ။သူမဝိတ်ကျဖိုအတွက်အားကစားရုံမှာကိုယ်ကာယလေ့ကျင့်ခန်းသွားလုပ်နေတာတစ်လကျော်ပါပြီ။အားကစားရုံကိုမနက်အစောကြီးသွားပြီးအားကစားရုံပိတ်တဲ့အချိန်ထိ့လေ့ကျင့်ခန်းလုပ်ပြီးဝိတ်ချနေတာပါ။တစ်နေ့အားကစားရုံကကိုယ်ကာယနည်းပြဆရာကသူမကိုကူညီ…

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11 Oct 2026, 17:52 UTC≈18,300 views39 reactionsread 12 November 2026
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🔞ရှယ်ထန်တဲ့ ခယ်မအကိတ်လေးကိုပါကင်စဖွင့် ーーーーーーーーーーーーーーーーー ဒီဇာတ်ကားလေးမှာတော့ မင်ဆောနဲ့ မင်ဂျီဆိုတဲ့ ညီအစ်မနှစ်ယောက်နဲ့ ခဲအိုဖြစ်သူ ဂျောင်းဟျော့တိုအကြောင်းကို အဓိကထားပြီး ရိုက်ကူးထားတာပဲဖစ်ပါတယ်။ ညီမဖြစ်သူ မင်ဂျီ အထက်တန်းကျောင်းသူ ဘဝကတည်းက ကျူရှင်ဆရာအဖြစ်နဲ့ စာလာသင်တဲ့ ဂျောင်းဟျော့တစ်ယောက် မမျှော်လင့်ဘဲ အစ်မဖြစ်သူ မင်ဆောနဲ့ ညားသွားပါတော့တယ်။ ဒါပေမယ့် ခယ်မလေးအပေါ်မှာလည်း သံယောဇဉ် လက်ကျန်လေးတွေ ရှိနေတဲ့အခါ ဘယ်လိုမျိုး…

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11 Oct 2026, 17:52 UTC≈18,200 views53 reactionsread 12 November 2026
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🔞ရှယ်ထန်တဲ့ ခယ်မအကိတ်လေး ーーーーーーーーーーーーーーーーー

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11 Oct 2026, 17:14 UTC≈14,900 views13 reactionsread 10 November 2026
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အားကားဝက်ဆိုဒ်ရှာနေသူအတွက် ➡️➡️➡️➡️ https://nyasaneain.com https://nyasaneain.com အစုံသုပ်လေးများ➡️➡️ https://t.me/+TBVMTmhnoW5mYTRl https://t.me/+TBVMTmhnoW5mYTRl ရှယ်ပလန်➡️➡️ https://t.me/+cW3a_Jc0dgtlYThl https://t.me/+cW3a_Jc0dgtlYThl https://t.me/+Pa0x5i8FVKQ1NjU1 https://t.me/+Pa0x5i8FVKQ1NjU1 စိတ်ပါရင်Joinရန်လင့်➡️➡️ https://t.me/addlist/3PYKKYVP5z8yMTk1 https://t.me/addlist/3PYKKYVP5z8yMTk1 https://t…

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Showing the 12 most recent of 148 posts we hold for @Russi32. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @Russi32 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
9 November 2026
Most recent seen missing
9 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
2

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

Named by 6 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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“18+ MM JAV” (@Russi32), 164,910 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/Russi32.

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.