Channel
@wedong01
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,034subscribers
+2,329 since we began measuring on 22 October 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1004492693030 |
|---|---|
| Type | Channel |
| Username | @wedong01 |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 October 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/wedong01 |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 6 November 2026 and assigned it the closest of 31 fixed categories, at 65% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 15:58 | 4,034 | +479 |
| 6 Nov 2026, 21:16 | 3,555 | +369 |
| 3 Nov 2026, 20:07 | 3,186 | +497 |
| 31 Oct 2026, 21:16 | 2,689 | +397 |
| 28 Oct 2026, 13:47 | 2,292 | +416 |
| 25 Oct 2026, 19:00 | 1,876 | +134 |
| 23 Oct 2026, 00:40 | 1,742 | +37 |
| 22 Oct 2026, 15:22 | 1,705 | first reading |
6 posts held, back to 22 October 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 page of 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 2 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 6 (22 October 2026 – 22 October 2026) |
| Views total | 1,412 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Oct 2026, 15:22 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.
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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 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 1 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 22 October 2026 to 22 October 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.
Telegram’s own ‘edited’ marker: 0 of 6 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🙂🙂🙂🙂🙂 1️⃣0️⃣🈷️2️⃣2️⃣在线老师⬇️⬇️⬇️ 公告⬇️⬇️开课地址武侯区双子塔附近！（约课留言睡醒一一回复） 新人琪琪 大🐻E 可无限活力 骚 新人心语 白月光 排骨 顶美 大长腿 丫丫 服务天花板 极品御姐 🉑拍不露脸视频 思思 性价比之王 一直口 嫩妹 新人小杜 极品嫩妹 大胸 紧 ⬆️⬆️点名字查看老师课表 😟😟😟😟➡️： @Wendo02 文东逆天改命版 新频道： https://t.me/wedong01 双向群： https://t.me/wend9q 预约艾特我，双向群里私我
新人～小小 兼职女大🍒 年龄19 体重86 身高162 🐻B 服务：无☔️口 鸳鸯浴 🉑浅🐍（无口臭）丝袜制服诱惑🉑自带 新人 新人 成都在校极品兼职06年学生妹儿，才下水的，三点粉，绝对够嫩 绝对够紧！ 急需用钱 ，短开 每周只开3天，本人更乖 更嫩 与照片无差异，皮肤白皙，腿精，身材好，真正的纯良家少女，女友感满满的，态度好会聊天，纯欲女大学生 持证上岗绝对真实 700P（50分钟）1300pp（90分钟） 🉑包✌🏻 🉑外出pp上门 🈲无套拔套 低素质 桩基 大鸡儿 嗑药 偷拍 ⚠️ 超过20分钟手打 尽量自带现金
❤1
心语～极品嫩妹 大长腿 年龄18 身高170 体重90 🐻A 服务：鸳鸯浴，无套口，亲咪咪，舔🥚🥚69，🐍（无口气），丝袜制服🉑️自带 特色：18岁小嫩妹，颜值很高，本人比照片更好看，皮肤雪白，又白又嫩又滑，大长腿 ，腿控的福利，偶尔抽烟，态度很好，很配合，情商超级高，很会来事，情绪价值女友感特别到位。妹妹说话温柔，邻家小姑娘，妹妹刚下海第一站 总结：已验车妹妹紧的不得了，水多多超级嫩，床感非常棒，大长腿比我命都长，妹妹很腼腆，开发程度高，敏感车易高潮 🈲️：无T 拔T 桩机 大鸡儿 嗑药 喝酒 SM 低素质 7P（50分钟）13PP（90分钟） 注：默认P，PP提前说，PP做一次不退。感谢🙏
新人小鹿～极品嫩妹（大一新生兼职） 川音大学兼职 年龄07年，身高163，体重 80 🐻天然B➕ 服务：无套口，亲咪咪，调情 亲嘴，舔🥚🥚 丝袜制服高跟👠通通到位。可自带 新人开课，大一新生学生妹第一次到成都刚下海嫩妹费了九牛二虎之力才哄过来，初次下海又嫩又御又漂亮，毛量正常，三点粉嫩紧得批爆，敏感体质容易被日的翻白眼，爸爸哥哥喊不停，皮肤白净性格开朗大方！ 包夜3400 🈲：无T 拔T 嗑药 喝酒 SM 低素质 7P（50分钟）13PP（90分钟） 默认P，PP提前说，PP做一次不退。感谢🙏
新人瑶瑶～极品嫩妹（兼职学妹） 年龄18 身高170体重92 🐻B #嫩妹 #甜妹 #极品颜值 #骚的批爆 服务：鸳鸯浴，无T口，69， 舔🥚，亲咪咪， 制服丝袜（🉑️自带） 18极品甜妹 大专学妹 颜值超高 声音特别好听，声音特别特别甜，眼睛特别好看，眼神超级勾人，超级紧致，超级敏感日起来发抖水多，骚的批爆，会主动喊爸爸操她，叫声超级销魂，态度极好 情商高 会聊天 无纹身 不机车 不死鱼 不下菜 不催课 很配合 情绪价值特别高 只要要求不过分都可以满足。白皮 🈲️：无T 拔T 嗑药 口爆 毒龙 SM 低素质 水费：7P（50分钟）13PP（90分钟） 注：PP提前说，不说默认P，PP做一次不退。感谢🙏
新人乐乐～ 极品御姐 服务车 年龄21 裸高165体重90 🐻B➕ 服务：鸳鸯浴 浅吻 无T口 亲咪咪 舔 可口爆 毒龙加100 69 浅吻 制服丝袜诱惑 新人成都首开，初次下海，以前从来没做过。嫩妹御姐姓，本人很乖，颜值高，身材好，皮肤光滑无赘肉，真人真照，态度好听话乖巧，服务热情，满满女友感，床下文静，床上淫娃爽得批爆，冲就完了 🈲️：无T 拔T 磕药 喝酒 扣B SM 低素质 7P（50分钟）13PP（90分钟） 默认P，PP提前说，PP做一次不退
Showing the 6 most recent of 6 posts we hold for @wedong01. 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.
Named by 9 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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“文东嫩妹御姐车库～复活中” (@wedong01), 4,034 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/wedong01.
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.