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Channel

🅥西安老师🅥

@xian2sex

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

1,693subscribers

-1,255 since we began measuring on 24 August 2026

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

Register entry

Telegram ID-1002564067129
TypeChannel
Username@xian2sex
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live17 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/xian2sex

Topic

Other / unclassifiable — 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 47% 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

1,6932,9482,320.524 August 2026 — 2,948 subscribers24 August 2026 — 2,948 subscribers25 August 2026 — 2,921 subscribers27 August 2026 — 2,839 subscribers31 August 2026 — 2,535 subscribers3 September 2026 — 2,382 subscribers8 September 2026 — 2,278 subscribers13 September 2026 — 1,991 subscribers17 September 2026 — 1,693 subscribers24 August 202617 September 2026
9 measurements spanning 24 days, net -1,255. 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 1,505–3,136 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 09:381,693-298
13 Sept 2026, 01:001,991-287
8 Sept 2026, 19:412,278-104
3 Sept 2026, 20:182,382-153
31 Aug 2026, 05:132,535-304
27 Aug 2026, 21:442,839-82
25 Aug 2026, 03:542,921-27
24 Aug 2026, 03:002,948no change
24 Aug 2026, 02:452,948first reading

Engagement

17 posts held, back to 9 June 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 15 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

12 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 91.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1191.7%
👍18.33%

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 8 of the 17 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 9 June 2026 to 15 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

15 Aug 2026, 14:25 UTC154 viewsread 24 August 2026
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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_6666091025

2 Aug 2026, 04:14 UTC516 views2 reactionsread 24 August 2026

🔔如何避免电报封号一些经验: 1. 新注册养号两天再发言 2. 使用正版app,飞机没有中文版,中文版是假 3. 使用固定欧美ip 4. 不使用来路不明vpn 5. 不主动私信用户 6. 不在短时间发送大量消息 7. 不发广告或发二维码截图 8. 不在短时间内大规模加群 9. 不使用虚似号容易被封

2

16 Jul 2026, 14:18 UTC≈1,070 viewsread 24 August 2026
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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_6666091025

15 Jul 2026, 12:31 UTC≈1,050 views3 reactionsread 24 August 2026

经典黑车套路科普 经常有群友问怎么防骗,这里整理一个常见套路,避免再掉坑。 黑车常见特征 1.价格异常低:如 800=3小时不限次、1300/1500包夜,远低于正常市场价。 2.照片过于完美:肤白貌美、学生兼职、空姐良家等旗号。建议先用 百度/谷歌/INS 搜图,十有八九是盗图。 3.话术千篇一律:先问城市和区域,再要求拍酒店房卡正反面。统一说“只带人不带房”。 4.社交软件特征:常见于电报,头像是美女,昵称“小小、暖暖、糖果、温柔”等。 套路类型与操作方式 类型①:假聊党 根本不在你城市,背后是抠脚大汉。 先装作“马上过来”,再说风险大,要你交100–300“诚意金/见面金”。给钱后继续要,各种理由。人没见到就给钱 = 憨批。给两次 = 憨批Plus。 类型②:见面跑路党 说“见面满意再付钱”,也可能真有人来。 常规派:约定1500包夜,做一水就找借口离开(如下楼拿衣服、借充电宝、买水、收东西)。 演技

3

9 Jul 2026, 13:48 UTC≈1,170 views2 reactionsread 24 August 2026
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#西安 艺名: 云云 地址: 高新区 验证: 已视频验证 价格: 400/p 700/pp 个人频道 @yy33226 双向机器人 @yyrra336_bot 私聊老师 @ttmm126

2

7 Jul 2026, 17:44 UTC≈1,230 viewsread 24 August 2026

新手防骗指南 如何分辨是否是骗子? 0. 由于 TG 鱼龙混杂,很多号冒充老师在群里滴滴,以女头像及个人资料暗示,以及展示个人频道链接,用以上信息冒充真实老师 1, 首先最重要的一点,靠谱老师都榜上,哪怕他们自己会在群里面打卡滴滴,也要核对一下名字是否在榜单上 ,另外真实的老师在群内发的消息是有本机器人点赞图标的 2, 不要轻信任何表明自己有 XXX 偏远地方的资源,或都频道里有很多点赞报告的,因为这些可能是抄袭别人的 3, 还是同上,大队榜单老师都是有靠谱介绍,或者本身就很知名的老师才能上榜,用脑子想想,我跟你又不熟悉,我为什么会把我知道的偏远资源介绍给你呢?保留 50%的概率是不是另有所图呢? 4, 在可疑老师的个人频道中,其中沟通记录含有发送口令红包的记录,但是并没有下文的,基本上属于骗红包的,或者是完全人照不符的 ,频道中的反馈只是纯文字,看不到转发来源,没有图片格式的反馈也基本是骗子 5, 在个人频道中

5 Jul 2026, 14:42 UTC≈1,140 views0 reactionsread 24 August 2026
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📱【花名】#小九 🌐【课室】#未央 💴【学费】 #4p 🛫【联系】@jiuqi6654 ✍️【标签】#大胸 ‼️主群:@xian1sex 📊报告: @xian3sex 🤨上榜:@boyuan9527

5 Jul 2026, 14:40 UTC≈1,090 views2 reactionsread 24 August 2026
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📱【花名】#采儿 🌐【课室】#高新 💴【学费】 #4p 🛫【联系】@ccaa1219 ✍️【标签】#大胸 ‼️主群:@xian1sex 📊报告: @xian3sex 🤨上榜:@boyuan9527

1👍1

25 Jun 2026, 15:59 UTC≈1,230 viewsread 24 August 2026
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📱【花名】#金宝 🌐【课室】#雁塔区 💴【学费】 #5p 🛫【联系】@jinbaob1121 ✍️【标签】#大胸 ‼️主群:@xian1sex 📊报告: @xian3sex 🤨上榜:@boyuan9527

25 Jun 2026, 15:58 UTC≈1,160 viewsread 24 August 2026
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📱【花名】#伊娃 🌐【课室】#高新区 💴【学费】 #6p 🛫【联系】@xiaoewa66 ✍️【标签】#大胸 ‼️主群:@xian1sex 📊报告: @xian3sex 🤨上榜:@boyuan9527

Showing the 12 most recent of 17 posts we hold for @xian2sex. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“🅥西安老师🅥” (@xian2sex), 1,693 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/xian2sex.

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.