Adult — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 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.
29 measurements spanning 36 days, net +524. 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 13,482–14,164 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
11 Sept 2026, 16:39
14,085
+42
9 Sept 2026, 00:40
14,043
+39
5 Sept 2026, 15:01
14,004
+33
3 Sept 2026, 14:00
13,971
+19
2 Sept 2026, 10:32
13,952
+16
1 Sept 2026, 12:54
13,936
+18
31 Aug 2026, 11:43
13,918
+11
30 Aug 2026, 09:13
13,907
+7
29 Aug 2026, 07:13
13,900
+10
28 Aug 2026, 05:08
13,890
+13
27 Aug 2026, 04:33
13,877
+9
26 Aug 2026, 06:45
13,868
+21
25 Aug 2026, 03:19
13,847
+25
23 Aug 2026, 17:17
13,822
+30
21 Aug 2026, 23:39
13,792
+22
20 Aug 2026, 18:44
13,770
+24
19 Aug 2026, 20:03
13,746
+14
18 Aug 2026, 17:33
13,732
+15
17 Aug 2026, 14:58
13,717
+26
16 Aug 2026, 05:25
13,691
first reading
Engagement
222 posts held, back to 6 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.923%
avg views ÷ 14,085 subscribers
Avg views / post
130
161 posts measured
Reaction rate
0.417%
reactions ÷ views · ER floor
Posts in window
161
of 222 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 34 of 161 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
222 (6 August 2026 – 2 September 2026)
Views total
20,933
Reactions total
28
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 19:25 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
Video runtime
8m 35s
Average length
8s
Measured directly from 68 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
49 reactions across 39 posts, in 3 distinct kinds. The most used accounts for 95.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
47
95.9%
🐳
1
2.04%
👏
1
2.04%
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 49 of the 222 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 222 most recent posts we hold, published 6 August 2026 to 2 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.
#hgreport RX 211 Rebecca 悠悠巨乳娘
#RXreport 報告 10
巨乳界AV地下網紅，屬大姐大級數，來香港配合RX玩法，絕對是「紆尊降貴」、俾面RX，因為平時線下見fans真係實打實收最少xxxxx先見面傾下計，幸好RX恩客都好紳士，令大姐大相當滿意❤️。請盡情提出要求，大家姐Rebecca巨乳娘悠悠會盡力配合你平日不能滿足到的幻想（HG的流程，不一定全部跟足，有佢自己一套）。
Super, extremely, huge huge huge bxxbs and hips. Much bigger than euro-Americans' sizes. She is a famous underground AV model ( BBW / big bxxbs big hips model). Please fuxk her hard and she will be happy.
價錢不代表什…
#hgreport RX 858 佩佩 包天國內國外伴遊首選
#RXreport 報告 89 現在有限時優惠價
真碩士生．22歲．170cm 全身天然 34C-D cup 柔軟大波波 小蠻腰 大長腿 雪白肌膚
胸迷可試．顏控必食．骨感控必食．model系列．沉船系列．藝術系碩士生．非HG服務型
全套服務：愛與被愛．可大車．簡單技術．絕非服務型．玩痴女feel請稍移玉步。
重點：
名媛氣質，高雅模特，學歷高，大蜜范，御姐。高挑，接近170cm，真34C-D蕩乳，窈宨
Well educated perfect sweet elegant model, 170cm, tall, natural 34C-D cup big boobs, slim body figure.
藝術系碩士生．客串式非HG生手服務．請師兄包容。
#RX #佩佩 #RX_858 #model #名媛feel #高學歷 #高挑slim #天然美乳
…
Showing the 12 most recent of 222 posts we hold for @RX2026. 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
Named by 9 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.
Named by
Channels on the register whose posts name this channel's handle.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“RX 相冊 2026 睇圖 看圖 今日 開工 名單” (@RX2026), 14,085 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/RX2026.
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.
