Telegram RegisterThe public register of Telegram
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Channel

小语课表频道

@Zixiaxianz

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

2,953subscribers

+270 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001872928182
TypeChannel
Username@Zixiaxianz
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Zixiaxianz

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 15 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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

2,6832,9532,8186 August 2026 — 2,683 subscribers6 August 2026 — 2,685 subscribers10 August 2026 — 2,772 subscribers13 August 2026 — 2,816 subscribers16 August 2026 — 2,887 subscribers19 August 2026 — 2,903 subscribers23 August 2026 — 2,731 subscribers26 August 2026 — 2,728 subscribers29 August 2026 — 2,740 subscribers1 September 2026 — 2,750 subscribers5 September 2026 — 2,828 subscribers10 September 2026 — 2,933 subscribers14 September 2026 — 2,945 subscribers18 September 2026 — 2,953 subscribers6 August 202618 September 2026
14 measurements spanning 42 days, net +270. 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 2,643–2,994 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 06:582,953+8
14 Sept 2026, 02:202,945+12
10 Sept 2026, 07:572,933+105
5 Sept 2026, 02:422,828+78
1 Sept 2026, 04:062,750+10
29 Aug 2026, 13:472,740+12
26 Aug 2026, 20:132,728-3
23 Aug 2026, 23:442,731-172
19 Aug 2026, 23:332,903+16
16 Aug 2026, 20:542,887+71
13 Aug 2026, 02:272,816+44
10 Aug 2026, 08:102,772+87
6 Aug 2026, 23:002,685+2
6 Aug 2026, 20:052,683first reading

Engagement

13 posts held, back to 2 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
11s
Average length
11s

Measured directly from 1 video 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

8 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
675.0%
🌭225.0%

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 6 of the 13 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 2 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.

Recent posts

7 Aug 2026, 05:35 UTC248 viewsread 7 August 2026

中午好宝宝们🌸🌸 头课可约有滴滴的吗🌸🌸 约课:@Zixiax 机器人:@XiaoYuqaqbot

6 Aug 2026, 13:47 UTC485 views0 reactionsread 7 August 2026
Photo

🎰 龙岗小语女仆半价抽奖 📮 参与条件: 🪪 必须设置用户名 🎫 加入-女仆点评栏 🎫 加入-深圳女仆屋 └ 🎟️ 发言数大于 18 条 🎫 加入-女仆精选公开榜 🎫 加入-女仆轮播群 🎫 加入-小语课表频道 🎁 奖品内容: 💰️ 单P半价券 × 1 ⚠️ 抽奖说明: 1.各位兄弟请遵守群规,严禁非正常断句,严禁刷屏,严禁复制粘贴,严禁无意义对话,严禁撤回消息,有以上行为者取消中奖资格,为创造良好的出击交流平台,请大家用心交流! 2.炸号者、退群者、注销账号者中奖无效! 3.活动最终解释权归本群管理团队所有! 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年08月09日 17时00分00秒

6 Aug 2026, 11:01 UTC507 viewsread 7 August 2026

深圳出击风向(繁花)群 验证榜单:@fanhuax 群组:https://t.me/+M2PRHBINX_hjMGMx 优质老师,真实狼友邀请制,与你分享真实的出击见闻

6 Aug 2026, 09:26 UTC451 viewsread 7 August 2026
Forwarded from @npjxgkbPhoto

视频验证✅ 【艺名】: #小语 【地区】: #龙岗 【课费】: 600P 1100PP 【联系】: @Zixiax 【频道】: https://t.me/Zixiaxianz 【标签】: #嫩妹 #六九 点评栏(点击查看老师评价) 福利群(进入查看更多福利)

5 Aug 2026, 08:05 UTC673 viewsread 7 August 2026

深圳·乱世俏佳人 群里有现金福利、白嫖福利、水群福利等各项福利 佳人群: https://t.me/abtmjojneneneny 佳人榜单: https://t.me/xxxmmmjjja 佳人报告: https://t.me/xienduendj 那些年·错过的女孩: https://t.me/abtmchoosese 佳人备用群: https://t.me/Sz_Choosese

5 Aug 2026, 08:02 UTC629 viewsread 7 August 2026
Photo

🎰 龙岗小语 @Zixiax 半价p 📮 参与条件: 🌏️ 归属地 广东 🪪 必须设置用户名 🎫 加入-深圳·乱世俏佳人(备用群) 🎫 加入-深圳·乱世俏佳人 └ 🎟️ 发言数大于 66 条 🎫 加入-小语课表频道 🎁 奖品内容: 💰️ 龙岗小语 @Zixiax 半价p × 1 ⚠️ 抽奖说明: 1:中奖者24小时内私聊老师兑奖; 2:开奖3天内没有兑奖的,则过期无效; 3:兑奖需要出击完提交详细报告:@Szqiaojiarenbg_bot 4:不去私聊管理 @bingmeishijiabing 回收; 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年08月08日 18时00分00秒

5 Aug 2026, 07:55 UTC564 views1 reactionsread 7 August 2026
Photo

🎰 龙岗小语P半价 📮 参与条件: 🎫 加入-深圳【皮卡丘】报告榜 🎫 加入-小语课表频道 🎫 加入-深圳【皮卡丘】公开榜 🎫 加入-深圳【皮卡丘】闲聊群🅥 └ 🎟️ 发言数大于 20 条 🎁 奖品内容: 💰️ P半价券 × 1 ⚠️ 抽奖说明: ⚡皮卡丘抽奖说明⚡ 1.中奖凭截图联系 @Zixiax 兑奖 2.奖品自开奖起7天内可兑换 3.白嫖券出击必须提交报告 4.本活动最终解释权归本群所有 5.加入皮卡丘闲聊群福利多多(PP白嫖卷、P白嫖卷、现金🧧)等任意兑换 📅 开奖日期:(北京时间) 2026年08月09日 15时30分00秒

1

4 Aug 2026, 07:23 UTC659 views1 reactionsread 7 August 2026

下午好老公们🌸🌸 头课还在有滴滴的吗🌸🌸 约课:@Zixiax 机器人:@XiaoYuqaqbot

1

3 Aug 2026, 11:02 UTC850 viewsread 7 August 2026
Forwarded from @SZsnqstl

【少御报告】https://t.me/szSNQSThj 【老师艺名】小语 【联系方式】@Zixiax 【所在位置】龙岗 【验证留名】鸡 【验证时间】8.2 【修车费用】1100pp 【颜值身材】人照8/9分 【服务内容】课表上都有 【服务态度】还行 【优点缺点】缺点就是话不多,需要引着来,可能是刚做的原因 【推荐程度】8/10 【体验细节】中午出击了一个以后感觉没过瘾,刷到龙岗小语看着还可以,果断出击,到了课室见到本人160左右黄皮小妹,手臂有点小纹身不过还行,交完水费开始陪洗,到床上口的时候个人问题被秒了(操,不知道自己哪根筋被搭错了)休息一会来第二次,必定要找回自己,舔了会bb,小小足交了一小会,让她穿上黑丝,传教士开始,进入就出声,让人恨不得把蛋都塞进去,随后换女上,本来我想动的结果妹妹自己比我先动起来,那我肯定任她摆布了,再后让她趴着后入,干的她老公爸爸直喊,过了不知多久,让她换上高跟鞋,去🪞前面后入,那种感觉画面不提

3 Aug 2026, 09:56 UTC710 views3 reactionsread 7 August 2026
Photo

日常,开课中,滴滴滴🅰️

3

2 Aug 2026, 07:22 UTC924 views1 reactionsread 7 August 2026
Photo

能和你撑同一把☔️的话,下雨天也是好天气😻😻周末在线哥哥们滴滴

1

Showing the 12 most recent of 13 posts we hold for @Zixiaxianz. 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 8 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“小语课表频道” (@Zixiaxianz), 2,953 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Zixiaxianz.

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.