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Telegram profile photo for 东莞公开榜

Channel

东莞公开榜

@XiaoChou_66

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

7,161subscribers

+3,716 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-1003444638704
TypeChannel
Usernames@bikaqiu @XiaoChou_66
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 September 2026
Measurements held17
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/XiaoChou_66

Topic

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 12 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.

Growth

3,4457,1615,3037 August 2026 — 3,445 subscribers8 August 2026 — 3,556 subscribers11 August 2026 — 3,872 subscribers14 August 2026 — 4,149 subscribers17 August 2026 — 4,559 subscribers21 August 2026 — 4,881 subscribers24 August 2026 — 5,396 subscribers27 August 2026 — 5,738 subscribers31 August 2026 — 6,025 subscribers3 September 2026 — 6,326 subscribers8 September 2026 — 6,766 subscribers10 September 2026 — 6,906 subscribers10 September 2026 — 6,906 subscribers12 September 2026 — 6,974 subscribers12 September 2026 — 6,998 subscribers15 September 2026 — 7,151 subscribers16 September 2026 — 7,161 subscribers7 August 202616 September 2026
17 measurements spanning 40 days, net +3,716. 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 2,888–7,718 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 06:567,161+10
15 Sept 2026, 23:177,151+153
12 Sept 2026, 18:216,998+24
12 Sept 2026, 08:426,974+68
10 Sept 2026, 18:226,906no change
10 Sept 2026, 17:476,906+140
8 Sept 2026, 17:016,766+440
3 Sept 2026, 11:376,326+301
31 Aug 2026, 00:586,025+287
27 Aug 2026, 16:235,738+342
24 Aug 2026, 19:065,396+515
21 Aug 2026, 06:134,881+322
17 Aug 2026, 23:324,559+410
14 Aug 2026, 14:274,149+277
11 Aug 2026, 15:133,872+316
8 Aug 2026, 11:013,556+111
7 Aug 2026, 14:323,445first reading

Engagement

9 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.58%
avg views ÷ 7,161 subscribers
Avg views / post
257
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 9 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 10 September 2026
Posts held9 (7 August 202610 September 2026)
Views total1,026
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 18:22 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
47s
Average length
9s

Measured directly from 5 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.

Recent posts

10 Sept 2026, 15:17 UTC197 viewsread 10 September 2026
Photo

#大朗 梓童 700一 1400二 1200一小时 联系 @zitong5201314 频道 https://t.me/xitong520 双向机器人 @zitong520bot

10 Sept 2026, 13:14 UTC289 viewsread 10 September 2026
Photo

#南城 娇娇 舌吻 sm 500一,1000二 联系 @jiaonv68 频道 https://t.me/jiaonvde 双向机器人 @jiaonvbot

10 Sept 2026, 13:13 UTC291 viewsread 10 September 2026
Photo

#南城 甜柚柚 500一 1000二 联系 @lln9988 频道 https://t.me/xwj686 双向机器人 @minajiqiren_bot

10 Sept 2026, 12:53 UTC249 viewsread 10 September 2026
Photo

#长安 小七 400一 700二 2000夜 联系 @nm123199 频道 https://t.me/mm123199

7 Aug 2026, 16:52 UTC113 viewsread 7 August 2026
Forwarded from @dgkkkzzzPhoto

#南城 小雅 500p 1000pp 联系 @xiaoyaqq11 频道 https://t.me/xiaoyamei111

7 Aug 2026, 14:18 UTC201 viewsread 7 August 2026
Forwarded from @dgkkkzzzPhoto

#南城 欢欢 700p 1400pp 联系 @hsbzh5 频道 t.me/sggsh56 双向 @hshzsh89_bot

7 Aug 2026, 12:32 UTC229 viewsread 7 August 2026
Forwarded from @dgyyyzzzPhoto

#大朗 青漫 500p 1000pp 联系 @Fdois98 频道 https://t.me/Fdis98 双向 @Fois98_bot

7 Aug 2026, 11:42 UTC245 viewsread 7 August 2026
Forwarded from @dgkkkzzzPhoto

#南城 瑶瑶 600p 1200pp 联系 @Yaoyao3399 频道 https://t.me/xiaoyao1234564

7 Aug 2026, 10:29 UTC136 viewsread 7 August 2026
Forwarded from @dgkkkzzzPhoto

#东城 洛洛 600p 1200pp 联系 @luoluo1313 双向 @lvy168_bot 频道 https://t.me/luoluo1717

Showing the 9 most recent of 9 posts we hold for @XiaoChou_66. 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 2 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“东莞公开榜” (@XiaoChou_66), 7,161 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/XiaoChou_66.

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.