真的有夠噁心🙂 提前那麼多天預約 妹還特地把時間留給你 結果當天: 改時間 → 改時間 → 還是改時間 一直說有事耽誤 結果好不容易喬到時間了—— 到點直接刪人 ??? 有事可以理解 臨時有狀況也可以說 但你這樣浪費別人的時間 最後連一句交代都沒有,真的很沒品 這種行為真的只能說:人間垃圾 根本不配當男人
👎1💩1

Channel
@xj4547bot
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,765subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002660306373 |
|---|---|
| Type | Channel |
| Username | @xj4547bot |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/xj4547bot |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 20:13 | 1,765 | -4 |
| 11 Aug 2026, 08:43 | 1,769 | +3 |
| 7 Aug 2026, 20:49 | 1,766 | no change |
| 7 Aug 2026, 19:41 | 1,766 | first reading |
12 posts held, back to 7 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 1 pageof Telegram’s post history, 20 posts per page.
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 3 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 12 (7 August 2026 – 7 August 2026) |
| Views total | 793 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 20:49 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.
5 reactions across 3 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 40.0% | |
| 👎 | 1 | 20.0% | |
| 💔 | 1 | 20.0% | |
| 💩 | 1 | 20.0% |
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 3 of the 12 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 7 August 2026 to 7 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.
真的有夠噁心🙂 提前那麼多天預約 妹還特地把時間留給你 結果當天: 改時間 → 改時間 → 還是改時間 一直說有事耽誤 結果好不容易喬到時間了—— 到點直接刪人 ??? 有事可以理解 臨時有狀況也可以說 但你這樣浪費別人的時間 最後連一句交代都沒有,真的很沒品 這種行為真的只能說:人間垃圾 根本不配當男人
👎1💩1
#臨時報班 晴晴 158cm 44kg C奶 18歲 甜美可愛 學生妹 皮膚白 奶子很粉嫩 #屄很漂亮很淺容易到底很緊 爽度百分百 超濕.很敏感 床上主動配合 聽話 乖巧 嗲嗲的聲音甜美迷人 給你滿滿的初戀fu 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶
Sticker, posted without a caption
有時候真的好人難當🥹 費盡心思替你考慮 卻換不到一點點 換位思考
💔1
還有一個名額
18歲嫩妹 高中生 8-9點可預約
#第一次下海 安安 156cm.B奶.18歲 #青澀高中生 乖乖女 待調教 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶
#舞蹈系學生 果糖 164cm 45kg C奶 20歲 #氣質身材都很好 身材比例超讚 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶
就是俗稱的馬蹄鮑嗎??😄
❤2
嚕嚕 159.C+..44.22歲 嬌小身材藏不住兇 臉蛋乖乖 身材壞壞 越小隻的辣妹 越容易撩人 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶
媚兒 167cm 49kg F奶 23歲 #單身慾望女 很騷很淫蕩哦 勾人的水蛇腰加上火辣身材動人美腿 前凸後翹的身材,美艷S型曲線 外表成熟野艷,內心大膽狂野愛玩 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶
宣宣 162cm G奶 53kg 28歲 #超大G奶 巨乳妹 巨乳+白虎 視覺X身體雙重體驗 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶
Showing the 12 most recent of 12 posts we hold for @xj4547bot. 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.
Citation-graph rank — 9,920 of 1,584,733entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 11 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“🇹🇼台妹短兼.糖小兮外送茶約會Gleezy:sk3826” (@xj4547bot), 1,765 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/xj4547bot.
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.