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Channel

泰国高端中国 曼谷中国 曼谷外围中国

@Bangkokxxg004

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

765subscribers

+13 since we began measuring on 2 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001986490580
TypeChannel
Username@Bangkokxxg004
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live10 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/Bangkokxxg004

Growth

752765758.52 September 2026 — 752 subscribers2 September 2026 — 752 subscribers10 September 2026 — 765 subscribers2 September 202610 September 2026
3 measurements spanning 8 days, net +13. 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 750–767 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 16:57765+13
2 Sept 2026, 11:55752no change
2 Sept 2026, 11:15752first reading

Engagement

6 posts held, back to 26 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.675%
avg views ÷ 765 subscribers
Avg views / post
5.2
6 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
6
of 6 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 1 September 2026
Posts held6 (26 August 20261 September 2026)
Views total31
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 11:15 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

Video runtime
25s
Average length
8s

Measured directly from 3 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

1 Sept 2026, 19:49 UTC1 viewsread 2 September 2026
Forwarded from @BangkokmanguxxgPhoto

近期因为有人冒充潇湘阁修车 ⚠️⚠️⚠️ 下单请认准 😍 菲-泰-等..国 (助理) :@XXGE8 🥰 新-马-等..国(助理):@XXGE888 @lxl168 此号将慢慢不再接待 ❤️ 认 准 👆 ↑ 上方三个 ⚠️⚠️⚠️除此以外 都是假的 ↓ ↓ 频 道 导 航 ↓ ↓ 越南频道 @Bangkokxxg000 泰妹频道 @Bangkokxxg001 日韩大洋马 @Bangkokxxg003 外围高端中国 @Bangkokxxg004 潇湘阁 各国 在岗频道导航

1 Sept 2026, 19:48 UTC6 viewsread 2 September 2026
Forwarded from @Bangkok_xxgPhoto

曼谷极品 🌤 𝐈 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐡𝐚𝐩𝐩𝐲 ʚ◡̈⃝ɞ ———————————————————— ꒰・身高/Height :166 ꒰・胸围/Bust :D ꒰・体重/Weight: 48kg ꒰・年龄/age:02 亭亭玉立 千娇百媚 清纯幼态脸 通体雪白 气质清纯优雅 楚楚动人 不施粉黛轻娥眉 淡妆素裹总相宜 真诚相待 都是生活照 所见皆所得 会喝酒。不机车。会搞气氛。主动热情 🫧 ʙᴇ ᴛʜᴇ ᴄʜᴀɴɢᴇ ʏᴏᴜ ᴡɪꜱʜ ᴛᴏ ꜱᴇᴇ ɪɴ ᴛʜᴇ ᴡᴏʀʟᴅ.

1 Sept 2026, 19:48 UTC6 viewsread 2 September 2026
Forwarded from @Bangkok_xxgPhoto

中国A牌 新人小可爱第一次出国 刚落地,身高158.小巧玲珑,99年,爱好跳舞,健身,性格温柔听话 陪酒4-5小时 15000 1小时1次 16000 6小时2次 45000 酒夜 55000 - 包天 70000

1 Sept 2026, 19:47 UTC6 viewsread 2 September 2026
Forwarded from @Bangkok_xxgPhoto

𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥ | 静静 浙江短期兼职妹妹首次落地曼谷 清纯瘦高 翘臀腰细 全脸0整容 乖巧 甜美 性格开朗 配合度高 嗲欲魅惑尤物粉嫩甜心精致女孩 全身敏感 三点粉 等你解锁更多姿势 ♡ ♥ の年龄- 03 の身高- 167 の胸围- 34B➕(真胸) の体重- 42KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥ 聽說緣分會把我帶到妳身邊 ♥

26 Aug 2026, 21:02 UTC6 viewsread 2 September 2026
Forwarded from @xiaoxiangge888888Photo

近期因为有人冒充潇湘阁修车 新老客户有上当 我们修改了联系方式 尽量避免再被模仿 和 减少新老客户上当 😍 菲-泰-等..国 (助理) :@XXGE8 🥰 新-马-等..国(助理):@XXGE888 @lxl168 此号将慢慢不再接待 ⚠️⚠️⚠️⚠️ 近期有冒仿着 下单请认准 此频道联系人 助理 ❤️ 认 准 👆 ↑ 上方三个 ⚠️⚠️⚠️除此以外 都是假的

Showing the 6 most recent of 6 posts we hold for @Bangkokxxg004. 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

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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“泰国高端中国 曼谷中国 曼谷外围中国” (@Bangkokxxg004), 765 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/Bangkokxxg004.

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.