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Telegram profile photo for 惠州会所选妃频道1.0

Channel

惠州会所选妃频道1.0

@tang16160

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

2,336subscribers

+537 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003788538699
TypeChannel
Username@tang16160
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live3 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/tang16160

Growth

1,7992,3362,067.56 August 2026 — 1,799 subscribers7 August 2026 — 1,802 subscribers10 August 2026 — 1,842 subscribers13 August 2026 — 1,933 subscribers16 August 2026 — 2,079 subscribers19 August 2026 — 2,169 subscribers22 August 2026 — 2,228 subscribers25 August 2026 — 2,266 subscribers28 August 2026 — 2,268 subscribers31 August 2026 — 2,294 subscribers3 September 2026 — 2,336 subscribers6 August 20263 September 2026
11 measurements spanning 28 days, net +537. 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 1,718–2,417 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 17:412,336+42
31 Aug 2026, 10:442,294+26
28 Aug 2026, 20:542,268+2
25 Aug 2026, 20:282,266+38
22 Aug 2026, 18:482,228+59
19 Aug 2026, 10:042,169+90
16 Aug 2026, 15:442,079+146
13 Aug 2026, 04:131,933+91
10 Aug 2026, 08:411,842+40
7 Aug 2026, 11:501,802+3
6 Aug 2026, 22:461,799first reading

Engagement

5 posts held, back to 1 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 2 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
16s
Average length
8s

Measured directly from 2 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

6 Aug 2026, 15:05 UTC75 viewsread 7 August 2026
Forwarded from @guliang321Photo

🎟️ 抽奖标题:惠州顶尖会所选妃福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@Huizhouabingbot (抵扣券7天内有效) 🎫 参与条件: 🎫 加入-惠州修车出击频道3.0 🎫 加入-惠州高端车资源 🎫 加入-惠州高端车府 🎁 奖品内容: 💰️ 按摩抵扣券50 × 5 💰️ 按摩抵扣券100 × 1 💰️ 口令红包20 × 3 💰️ 口令红包66 × 1 📅 开奖时间:2026-08-09 21:48自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178602364567

6 Aug 2026, 13:53 UTC174 viewsread 7 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8176822175

5 Aug 2026, 19:43 UTC196 views0 reactionsread 7 August 2026
Photo

#龙丰 #惠城 ✈️:@xiaoy5233 双向:@Bhj768_bot 频道:https://t.me/xiaoy5231

2 Aug 2026, 02:54 UTC411 viewsread 7 August 2026
Photo

#惠州 #惠城 #麦地 #商k #生日聚会 #派对 (惠城麦地) 抽奖频道:https://t.me/guliang321

1 Aug 2026, 21:37 UTC417 viewsread 7 August 2026
Photo

#河南岸 #麦地 #东平 #桥东 #陈江 #仲恺 抽奖频道:https://t.me/guliang321

Showing the 5 most recent of 5 posts we hold for @tang16160. 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 8 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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“惠州会所选妃频道1.0” (@tang16160), 2,336 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/tang16160.

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.