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Channel

泰国曼谷(顶级外围伴游)新马泰/柬/迪拜/特区

@TXSDJ

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

6,876subscribers

-416 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-1002020614970
TypeChannel
Username@TXSDJ
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/TXSDJ

Growth

6,8767,2927,0847 August 2026 — 7,292 subscribers8 August 2026 — 7,260 subscribers11 August 2026 — 7,200 subscribers14 August 2026 — 7,143 subscribers17 August 2026 — 7,070 subscribers20 August 2026 — 7,014 subscribers24 August 2026 — 6,993 subscribers27 August 2026 — 6,968 subscribers31 August 2026 — 6,876 subscribers7 August 202631 August 2026
9 measurements spanning 24 days, net -416. 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 6,814–7,354 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 00:446,876-92
27 Aug 2026, 19:186,968-25
24 Aug 2026, 10:146,993-21
20 Aug 2026, 20:477,014-56
17 Aug 2026, 15:557,070-73
14 Aug 2026, 14:587,143-57
11 Aug 2026, 00:017,200-60
8 Aug 2026, 04:567,260-32
7 Aug 2026, 12:177,292first reading

Engagement

11 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.29%
avg views ÷ 6,876 subscribers
Avg views / post
157
8 posts measured
Reaction rate
0.457%
reactions ÷ views · ER floor
Posts in window
8
of 11 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 1 of 8 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 14 August 2026
Posts held11 (30 July 202614 August 2026)
Views total1,258
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 17:20 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
59s
Average length
10s

Measured directly from 6 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 11 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 30 July 2026 to 14 August 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

14 Aug 2026, 17:03 UTC238 viewsread 20 August 2026
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📍泰国·曼谷 国籍nationality | 日本 🇯🇵 …………………………………………………… ●名字(名前):mari ●身高(身長):165cm ●體重(体重):53kg ●罩杯(カップ数):日本のサイズでGカップ ●年紀(年齢):27 ●真胸或假奶(豊胸ありなし):あり。 ●下面是否有除毛(下の毛処理):脱毛済み ●膚色(肌色〕: ■外型(スタイル):普通体型 ■刺青(刺青):なし ■抽煙(タバコ):なし ■妊娠紋(妊娠跡):なし ■牙套(歯科矯正):なし ■オプション(extra )⭕️❌でお答えください 舌吻LG(ディープキス):⭕️ 小親(フレンチキス):⭕️ 無套口交(生フェラ):⭕️ 無套性交(NS):⭕️ 内射(中出し):⭕️ 69 :⭕️ 毒龍(アナル舐め):⭕️ 口爆(口内射精):⭕️ 肛交(アナルファック):❌ 2女一男(雙飛)(3P):⭕️ 二男一女(逆3P):❌ 舔乳头(乳首舐め):

14 Aug 2026, 17:03 UTC196 viewsread 20 August 2026
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📍泰国·曼谷 国籍nationality | 日本 🇯🇵 …………………………………………………… ● 姓名:榎本 ● 身高:160 ● 体重:47 ● 胸围:F ● 年龄:26 ● 是否丰胸:否 ● 阴部是否脱毛:已脱毛 ■ 纹身:无 ■ 妊娠纹:无 ■ 请用⭕️❌回答以下服务项目: 无套口交(生殖器口交):◯ 无套性交(性交):◯ 内射(射精):◯ 69式:◯ 毒龙(肛门舔):◯ 口爆(口内射精):◯ 肛交(肛交):△ 2女1男(三人行):◯ 2男1女(反向三人行):× 舔乳头(乳头舔):◯ 舔阴道(口交):◯ 自拍(不露脸):可以 脸部射精:× 曼谷 8-15号到达

14 Aug 2026, 17:03 UTC161 viewsread 20 August 2026
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📍泰国·曼谷 国籍nationality | 中国 🇨🇳 …………………………………………………… 牙牙 淘宝模特首次出国兼职可查护照记录 胸型超美不下垂 皮肤雪白牛奶肌 反差活泼 情商高 A4腰身 三点粉 敏感易高潮 水多多 全身嫩滑 软软糯糯 给你前所未有的水润体验 の年龄- 04 の身高- 167 の胸围- 34D(真胸) の体重- 46KG

9 Aug 2026, 13:37 UTC132 viewsread 12 August 2026
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𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥ | 卡莎 甜妹型御姐首次出国 外御内骚 沙漏身材 黄金比例 圈外造型师 短期落地曼谷兼职 敏感体质 水多 馒头B 床上主动 服务爆表 骚到不行 ♡ ♥ の年龄- 02 の身高- 166 の胸围- 32C➕(真胸) の体重- 40kg 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥ 聽說緣分會把我帶到妳身邊 ♥

9 Aug 2026, 13:36 UTC91 viewsread 12 August 2026
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𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥ | 糯米 曼谷最新落地贵州软妹 皮肤雪白 光滑细腻紧致 说话温柔贤淑主动待客 热情奔放 配合度极高 第一次下水 肤白貌美腿长 极品中的极品 可纯可欲可性感 我能抵抗所有诱惑 直到它们被我所诱惑 性感尤物 最懂你的首选 ♡ ♥ の年龄- 02 の身高- 168 の胸围- 36C(真胸) の体重- 47KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥ 聽說緣分會把我帶到妳身邊 ♥

9 Aug 2026, 13:36 UTC111 viewsread 12 August 2026
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𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥ | 栗子 曼谷初遇小栗子 气质优雅 谈吐得体 短期首次兼职 中韩混血 无不良嗜好 情商智商在线 皮肤超白 高学历中英文精通 ♡ ♥ の年龄- 04 の身高- 170 の胸围- 34D➕(真胸) の体重- 49KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥ 聽說緣分會把我帶到妳身邊 ♥

9 Aug 2026, 13:36 UTC110 viewsread 12 August 2026
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𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥ | 六六 曼谷真实年龄07年 18岁(可以看护照证件)保真 皮肤细腻光滑 雪白 不抽烟 高素质 女友感 三点粉 无纹身 ♡ ♥ の年龄- 07 の身高- 167 の胸围- 32E(真胸) の体重- 47KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥ 聽說緣分會把我帶到妳身邊 ♥

3 Aug 2026, 17:36 UTC219 views1 reactionsread 9 August 2026
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#曼谷 𝐁𝐚𝐧𝐠𝐊𝐨𝐊♥ | 小雨 纯欲甜妹天花板首次出国 皮肤雪白 超级会夹一碰就爆 甜心初恋体验感 杭州极品囡囡 敏感体质 全身粉嫩 水多多 ♡ ♥ の年龄- 07 の身高- 163 の胸围- 34c(真胸) の体重- 40KG 𝙄 𝙨𝙪𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩𝙡𝙮 𝙢𝙖𝙩𝙘𝙝 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪 ♥ 聽說緣分會把我帶到妳身邊 ♥

1

30 Jul 2026, 11:31 UTC329 views0 reactionsread 9 August 2026
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📍泰国·曼谷 国籍nationality | 越南🇻🇳 …………………………………………………… 艺名: 姜姜 𝐇𝐞𝐢𝐠𝐡𝐭身高/158cm Weight 体重/ 45kg 𝐁𝐮𝐬𝐭胸围/ C 𝐀𝐠𝐞年龄/ 23岁 可爱甜妹 元气满满 紧致粉嫩三点, 性格好.活好主动不扭捏 可双飞 69 制服

30 Jul 2026, 11:31 UTC233 viewsread 9 August 2026
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📍泰国·曼谷 国籍nationality | 越南🇻🇳 …………………………………………………… 𝗡𝗮𝗺𝗲艺名: 小乔 𝐇𝐞𝐢𝐠𝐡𝐭身高/ 164cm 𝐁𝐮𝐬𝐭-胸围/ C 𝐀𝐠𝐞年龄/ 23 岁 𝗪𝗲𝗶𝗴𝗵𝘁 体重/ 45kg 本人漂亮,五官精致会中文。 情商也高,说话有分寸,待课有耐心 情趣,丝袜, 口技了得。

30 Jul 2026, 11:31 UTC179 viewsread 9 August 2026
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📍泰国·曼谷 国籍nationality | 越南🇻🇳 …………………………………………………… 𝗡𝗮𝗺𝗲艺名: 咪咪 𝐇𝐞𝐢𝐠𝐡𝐭身高/ 163cm 𝐁𝐮𝐬𝐭-胸围/ C 𝐀𝐠𝐞年龄/ 25 岁 𝗪𝗲𝗶𝗴𝗵𝘁 体重/ 45kg 清纯可爱型,皮肤很白 温柔体贴,会哄人,声音温柔 配合度满分💯

Showing the 11 most recent of 11 posts we hold for @TXSDJ. 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.

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 31 August 2026 — this entry's latest reading, not the date you are reading this.

“泰国曼谷(顶级外围伴游)新马泰/柬/迪拜/特区” (@TXSDJ), 6,876 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/TXSDJ.

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.