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Channel

西安合欢宗新人榜

@xacj99901

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

9,780subscribers

-2,674 since we began measuring on 1 September 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002463270206
TypeChannel
Username@xacj99901
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded1 September 2026
Last confirmed live18 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/xacj99901

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 16 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

9,78012,45411,1171 September 2026 — 12,454 subscribers2 September 2026 — 12,454 subscribers3 September 2026 — 12,133 subscribers5 September 2026 — 11,761 subscribers8 September 2026 — 11,239 subscribers11 September 2026 — 10,819 subscribers12 September 2026 — 10,528 subscribers14 September 2026 — 10,348 subscribers16 September 2026 — 10,140 subscribers18 September 2026 — 9,780 subscribers1 September 202618 September 2026
10 measurements spanning 17 days, net -2,674. 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 9,379–12,855 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 10:169,780-360
16 Sept 2026, 05:3910,140-208
14 Sept 2026, 14:1910,348-180
12 Sept 2026, 22:3910,528-291
11 Sept 2026, 00:1910,819-420
8 Sept 2026, 03:1711,239-522
5 Sept 2026, 03:1711,761-372
3 Sept 2026, 10:1612,133-321
2 Sept 2026, 03:4512,454no change
1 Sept 2026, 15:0012,454first reading

Engagement

6 posts held, back to 13 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
8.44%
avg views ÷ 9,780 subscribers
Avg views / post
825
1 post measured
Reaction rate
0.242%
reactions ÷ views · ER floor
Posts in window
1
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 26 August 2026
Posts held6 (13 August 202626 August 2026)
Views total825
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 21:42 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
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.

Reaction mix

9 reactions across 3 posts, in 4 distinct kinds. The most used accounts for 55.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
555.6%
👍222.2%
🎉111.1%
🤩111.1%

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 4 of the 6 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 13 August 2026 to 26 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

26 Aug 2026, 14:46 UTC825 views2 reactionsread 2 September 2026
Photo

📱艺名#景瑶 🌐#雁塔区 💴【学费】600P 1200PP 🛫【联系】@jingyao567 🥂【双向】 @jingyao123_bot 📱【频道】@jingyao789 ❤️【硬件】年龄21身高179 🐻B ❓上榜管理 @BangzXC_bot 🛍技术交流 https://t.me/xacj789

1👍1

20 Aug 2026, 10:49 UTC≈2,040 views6 reactionsread 2 September 2026
Photo

📱小M🌐#雁塔区 💴【学费】600P 1000PP 🛫【联系】@XIAOMAI0524 🥂【双向】 @xiao_m001_bot 📱【频道】https://t.me/lilibaobao524 ❤️【硬件】年龄23 身高165 体重100 🐻B ❓上榜管理 @BangzXC_bot 🛍技术交流 https://t.me/xacj789

3🎉1👍1🤩1

20 Aug 2026, 05:50 UTC≈1,880 views1 reactionsread 2 September 2026
Photo

💞 #西安 唯一独家【千叶·日式裸身风俗泡泡浴】 免费提供制服👗蕾丝👙黑白袜👠,半裸和全裸两种全面且深度的体验(胸手足出) 日式舒缓(🛁大浴缸泡浴)➕玉足戏水,让细腻的泡沫包裹全身,独家传承日式泡泡浴技艺🪭,纯口啤服务,私密性很好,温柔细腻的手法带来极致放松体验。舒缓压力,唤醒身体的每一处感官。👍 高能日本特色AV椅互动助浴,梦境级前列腺高潮体验、穿插轻度sm体验😌独创二代抓龙筋手法、冰火石三角区经络疏通、丝袜捆绑脱敏、三起三落龟责脱敏训练、AV级寸止榨精,引导了解和运用自己的副交感神经系统,助您坚挺、延时😉 ⚡️浪漫之旅:798/70分钟 ⚡️极致花欲:998/90分钟 🧸营业时间:中午12点到凌晨⭐️ 上课预约地址: 西安雁塔区高新大寨路 西安未央区龙首原 详情咨询TG☎️: @qylspy 双向机器人TG☎️: @qylspy520bot 频道TG👨‍👩‍👧‍👧: @clbfpd

1

13 Aug 2026, 12:33 UTC≈2,110 views0 reactionsread 2 September 2026
Photo

艺名: #璐璐 地址: #高新区 #香榭兰廷 私聊:@lululucky99 双向: @luludexiaozhusBot 备注: 年龄: 19 体重: 45Kg 身高: 163 🐻:B 陪洗 制服 69 下方评论区

Showing the 6 most recent of 6 posts we hold for @xacj99901. 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.

Mentions

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

“西安合欢宗新人榜” (@xacj99901), 9,780 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xacj99901.

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.