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Channel

YABAISUB.MY.ID

@javyabaisub

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

6,560subscribers

-157 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001807461553
TypeChannel
Username@javyabaisub
DescriptionWebsite: https://yabaisub.my.id TeraApp: https://bit.ly/4xS7Z5Q Alternative Channel: https://t.me/lendirsubindo https://t.me/javstorysatu https://t.me/dramastarr https://t.me/rumahparaperjaka https://t.me/indojavxstream
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/javyabaisub

Topic

Adult — 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 11 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 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 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
@javyabaisub/1521 · this entry21 Jul 2026, 01:21 UTC@lendirsubindo/124421 Jul 2026, 01:22 UTC1.00under a minute
@javyabaisub/1522 · this entry21 Jul 2026, 12:53 UTC@lendirsubindo/124521 Jul 2026, 12:54 UTC1.00under a minute
@javyabaisub/1525 · this entry23 Jul 2026, 17:51 UTC@lendirsubindo/124823 Jul 2026, 17:51 UTC1.00under a minute
@javyabaisub/1527 · this entry25 Jul 2026, 16:11 UTC@lendirsubindo/125025 Jul 2026, 16:12 UTC1.0072 seconds
@javyabaisub/1530 · this entry28 Jul 2026, 02:46 UTC@lendirsubindo/125328 Jul 2026, 02:47 UTC1.00under a minute
@javyabaisub/1531 · this entry30 Jul 2026, 01:35 UTC@lendirsubindo/125430 Jul 2026, 01:35 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@lendirsubindo20 (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 21 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 2, the earliest publisher we hold is @javyabaisub — 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

6,5606,7176,638.57 August 2026 — 6,717 subscribers7 August 2026 — 6,717 subscribers11 August 2026 — 6,709 subscribers14 August 2026 — 6,707 subscribers17 August 2026 — 6,704 subscribers21 August 2026 — 6,698 subscribers24 August 2026 — 6,681 subscribers27 August 2026 — 6,679 subscribers30 August 2026 — 6,678 subscribers2 September 2026 — 6,671 subscribers7 September 2026 — 6,662 subscribers12 September 2026 — 6,658 subscribers15 September 2026 — 6,651 subscribers27 September 2026 — 6,632 subscribers5 October 2026 — 6,629 subscribers11 October 2026 — 6,628 subscribers15 October 2026 — 6,618 subscribers18 October 2026 — 6,612 subscribers21 October 2026 — 6,601 subscribers23 October 2026 — 6,602 subscribers26 October 2026 — 6,590 subscribers29 October 2026 — 6,572 subscribers1 November 2026 — 6,574 subscribers4 November 2026 — 6,560 subscribers7 August 20264 November 2026
24 measurements spanning 89 days, net -157. 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 6,536–6,741 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
4 Nov 2026, 09:156,560-14
1 Nov 2026, 15:256,574+2
29 Oct 2026, 20:076,572-18
26 Oct 2026, 18:566,590-12
23 Oct 2026, 23:066,602+1
21 Oct 2026, 08:366,601-11
18 Oct 2026, 06:566,612-6
15 Oct 2026, 01:176,618-10
11 Oct 2026, 16:416,628-1
5 Oct 2026, 10:196,629-3
27 Sept 2026, 15:016,632-19
15 Sept 2026, 13:406,651-7
12 Sept 2026, 00:016,658-4
7 Sept 2026, 14:186,662-9
2 Sept 2026, 09:286,671-7
30 Aug 2026, 03:566,678-1
27 Aug 2026, 14:166,679-2
24 Aug 2026, 17:276,681-17
21 Aug 2026, 06:046,698-6
17 Aug 2026, 22:426,704first reading

Engagement

53 posts held, back to 21 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 16 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.4%
avg views ÷ 6,560 subscribers
Avg views / post
1,140
21 posts measured
Reaction rate
0.178%
reactions ÷ views · ER floor
Posts in window
21
of 53 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 20 of 21 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 5 November 2026
Posts held53 (21 July 2026 – 5 November 2026)
Views total24,034
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 01:15 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
≈1,390
Links
≈1,300

Lifetime counters from Telegram’s own channel header, read 6 November 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.

Reaction mix

99 reactions across 44 posts, in 4 distinct kinds. The most used accounts for 78.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7878.8%
🔥99.09%
👍88.08%
🥰44.04%

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 47 of the 53 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 99 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 21 July 2026 to 5 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: 13 of 21 posts held from the last 30 days (61.9%) 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).

5 Nov 2026, 10:39 UTC256 views0 reactionsread 6 November 2026
Photo

JUNY-158 Dikeroyok Kontol Hitam – Asuna Hoshi JAV, Sub Indo, Remove Mosaic https://t.me/lendirsubindo https://t.me/lendirsubindo https://t.me/lendirsubindo 𝑾𝒆𝒃𝒔𝒊𝒕𝒆 : https://yabaisub.my.id VIP Member 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎 : Join Backup Channel : Link

4 Nov 2026, 08:49 UTC457 viewsread 6 November 2026
Photo

ATID-245 Tenggelam Dalam Tentakel – Mako Oda JAV, Sub Indo, Remove Mosaic https://t.me/lendirsubindo https://t.me/lendirsubindo https://t.me/lendirsubindo 𝑾𝒆𝒃𝒔𝒊𝒕𝒆 : https://yabaisub.my.id VIP Member 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎 : Join Backup Channel : Link

3 Nov 2026, 06:24 UTC581 views2 reactionsread 6 November 2026
Photo

NSFS-469 Ibu Tiriku Si Binor Binal – Megumi Suzukawa JAV, Sub Indo, Remove Mosaic https://t.me/lendirsubindo https://t.me/lendirsubindo https://t.me/lendirsubindo 𝑾𝒆𝒃𝒔𝒊𝒕𝒆 : https://yabaisub.my.id VIP Member 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎 : Join Backup Channel : Link

❤2

2 Nov 2026, 07:06 UTC666 views1 reactionsread 6 November 2026
Photo

JUL-096 Maki Hojo JAV, Sub Indo, Remove Mosaic Selama ini, hidupku bersama istriku, Maki, berjalan dengan sangat lancar. Tiga tahun lalu, saat bisnis sedang terpuruk, sahabat baikku, Mukai, diam-diam mengulurkan tangan membantu—berkat dialah aku bisa menjalani kehidupan seperti sekarang ini. Namun kini, Mukai kehilangan istrinya dan tampak tidak berdaya melakukan apa pun. Semua pekerjaan rumah tangga yang dulu ditan…

❤1

30 Oct 2026, 14:55 UTC939 views1 reactionsread 6 November 2026
Photo

JJDA-003 Mary Tachibana, Honoka Mihara JAV, Sub Indo, Censored Ini adalah rekaman video tentang seorang pria yang penuh gairah, yang mencoba berbagai cara dan menggunakan beragam alat demi membujuk wanita itu agar mau membiarkannya menikmati vaginanya... https://t.me/lendirsubindo https://t.me/lendirsubindo https://t.me/lendirsubindo 𝑾𝒆𝒃𝒔𝒊𝒕𝒆 : https://yabaisub.my.id VIP Member 𝑻𝒆𝒍𝒆𝒈𝒓𝒂𝒎 : Join Backup Channel : Li

❤1

29 Oct 2026, 16:21 UTC965 views1 reactionsread 6 November 2026
Photo

MANX-032 Ran Kikuno JAV, Sub Indo, Remove Mosaic Kikuno Ran, seorang wanita cantik dengan bibir merah menggoda yang tertutup masker renda, hadir di sini. Ia memancing batang kejantanan favoritnya hingga hampir ereksi dengan godaan-godaan tipis, menunjukkan sisi liarnya melalui aksi *fellatio* yang dilakukan di balik celana dalam, lalu mengisap batang tersebut sampai tuntas dengan mulutnya yang nakal. Telegram Membe…

❤1

27 Oct 2026, 13:32 UTC≈1,220 views1 reactionsread 6 November 2026
Photo

JUNY-152 Reika Takeda JAV, Sub Indo, Remove Mosaic Reika, yang bekerja sebagai penata rias, merasa frustrasi karena kurangnya hubungan intim dengan suaminya. Suatu hari, seorang rapper ternama asal Amerika, P. Mike, datang ke Jepang untuk membintangi sebuah iklan. Setelah sesi syuting berakhir, sesuatu pun terjadi. Saat Reika membuka pintu untuk memberikan pembersih riasan kepada P. Mike yang sedang mandi, ia melih…

❤1

26 Oct 2026, 11:58 UTC≈1,250 views1 reactionsread 6 November 2026
Photo

FSBK-024 Karina Tanida JAV, Sub Indo, Remove Mosaic Mereka menculik seorang gadis kecil yang mereka temukan di jalanan, lalu menggarap bagian anusnya yang masih perawan. Mereka meregangkannya secara bertahap, memasukkan batang kemaluan mereka, dan menyemprotkan air mani dalam jumlah banyak. Telegram Member (Berbayar) Ketik "JOIN" untuk informasi Member 💬 t.me/aikedamon_admin

❤1

25 Oct 2026, 07:03 UTC≈1,310 views4 reactionsread 6 November 2026
Photo

MIDA-402 Himari JAV, Sub Indo, Remove Mosaic Seorang wanita kantoran dengan payudara sangat besar yang tak bisa disembunyikan menarik perhatian para pria di dalam kereta! Telegram Member (Berbayar) Ketik "JOIN" untuk informasi Member 💬 t.me/aikedamon_admin

❤3👍1

23 Oct 2026, 15:15 UTC≈1,470 views3 reactionsread 6 November 2026
Photo

IPZZ-501 Kana Momonogi JAV, Sub Indo, Remove Mosaic Kira-kira apa yang akan terjadi kalau aku memasukkannya ke dalam? (haha). Jadi begini, dia punya suami yang baik... kehidupan rumah tangganya pun nyaman... seorang istri muda memanfaatkan pengalamannya untuk membuka salon kecantikan di rumah. Namun, dia malah diganggu oleh tetangga yang brengsek dan menjijikkan. Telegram Member (Berbayar) Ketik "JOIN" untuk inform…

❤3

22 Oct 2026, 14:38 UTC≈1,380 views2 reactionsread 6 November 2026
Photo

Sara Diamante - Anal Surprise Adult, Sub Indo, Uncensored Ibu Sara Diamante yang berkulit kecokelatan memiliki pacar baru bernama Danny D, yang ternyata disukai oleh Sara. Jadi, ketika Danny secara tidak sengaja memergoki Sara saat sedang mandi, Sara yang memang gemar menggoda memanfaatkan momen tersebut untuk memamerkan tubuhnya yang memukau. Setelah sempat melihat sekilas alat kelamin Danny yang berukuran besar, S…

❤1👍1

19 Oct 2026, 02:43 UTC≈1,850 views3 reactionsread 6 November 2026
Photo

XVSR-863 Sumire Kurokawa JAV, Sub Indo, Censored Seorang wanita yang benar-benar erotis mendambakan dan memadukan dirinya dengan naluri-naluri yang liar dan intens, membiarkan naluri tersebut yang memegang kendali!! Sumire Kurokawa, wanita dewasa yang sangat seksi, tampil untuk pertama kalinya dalam seri populer MAX-A, “Intimate Intercourse”!! Mulai dari handjob yang begitu menggoda hingga hubungan intim yang liar d…

❤3

Showing the 12 most recent of 53 posts we hold for @javyabaisub. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 November 2026 — this entry's latest reading, not the date you are reading this.

“YABAISUB.MY.ID” (@javyabaisub), 6,560 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/javyabaisub.

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.