📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104163260922 名字:汐沅 区域:普陀区 电报号:@xiyuan0102 老师个人频道:https://t.me/xiyuan066 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE179006307234 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE179006307234 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not con…

Channel
魔都光明顶教学课程展览室1
@moduguangmingding1
On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
38,922subscribers
+55 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002663368520 |
|---|---|
| Type | Channel |
| Username | @moduguangmingding1 |
| Description | This channel strictly adheres to Telegram's rules, contains no illegal content, no violent scenes, no spam, and no acts harmful to the country. Please help me, Telegram. |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/moduguangmingding1 |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 05:40 | 38,922 | +16 |
| 15 Sept 2026, 02:59 | 38,906 | +11 |
| 11 Sept 2026, 09:40 | 38,895 | +9 |
| 8 Sept 2026, 12:18 | 38,886 | +13 |
| 5 Sept 2026, 06:15 | 38,873 | -42 |
| 3 Sept 2026, 12:20 | 38,915 | -158 |
| 2 Sept 2026, 05:35 | 39,073 | -9 |
| 1 Sept 2026, 03:46 | 39,082 | -8 |
| 31 Aug 2026, 03:28 | 39,090 | -13 |
| 30 Aug 2026, 02:33 | 39,103 | -2 |
| 29 Aug 2026, 04:24 | 39,105 | +3 |
| 28 Aug 2026, 05:34 | 39,102 | +14 |
| 27 Aug 2026, 07:03 | 39,088 | -2 |
| 26 Aug 2026, 08:11 | 39,090 | -6 |
| 25 Aug 2026, 07:48 | 39,096 | -5 |
| 24 Aug 2026, 09:52 | 39,101 | +173 |
| 22 Aug 2026, 16:43 | 38,928 | -6 |
| 21 Aug 2026, 05:43 | 38,934 | -3 |
| 20 Aug 2026, 07:03 | 38,937 | -2 |
| 19 Aug 2026, 10:36 | 38,939 | first reading |
Engagement
89 posts held, back to 4 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 84 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.989%
- avg views ÷ 38,922 subscribers
- Avg views / post
- 385
- 47 posts measured
- Reaction rate
- 0.216%
- reactions ÷ views · ER floor
- Posts in window
- 47
- of 89 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. It is computed over the 21 of 47 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 89 (4 August 2026 – 22 September 2026) |
| Views total | 18,089 |
| Reactions total | 21 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 11:52 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
- Photos
- ≈2,660
- Videos
- ≈694
- Links
- ≈469
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 8m 39s
- Average length
- 9s
Measured directly from 61 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
32 reactions across 27 posts, in 2 distinct kinds. The most used accounts for 96.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 96.9% | |
| 🤔 | 1 | 3.13% |
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 36 of the 89 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 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 4 August 2026 to 22 September 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
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104162260922 名字:瑶瑶 区域:浦东新区 电报号:@linxx1991233 老师个人频道:https://t.me/yaoyao8584 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE179006147961 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE179006147961 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not…
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104161260922 名字:梵熙 区域:普陀区 电报号:@fanxi98 老师个人频道: 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE179006010904 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE179006010904 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not contain any illegal content,…
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104159260921 名字:娜娜 区域:普陀区 电报号:@kexin6888 老师个人频道:https://t.me/sznana_88 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178995814066 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178995814066 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not cont…
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104158260920 名字:小汤圆 区域:普陀区 电报号:@SHxiaotangyuan521 老师个人频道:https://t.me/SSXiaoTangYuan521 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178989515059 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178989515059 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules …
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104157260920jj 名字:樂儿 区域:普陀区 电报号:@leer02022 老师个人频道:https://t.me/leer00020 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178988110039 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178988110039 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not co…
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104156260919 名字:糯糯 区域:浦东新区 电报号:@shiruor 老师个人频道:@shiruor1 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178980394761 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178980394761 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not contain any illega…
❤1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104155260919 名字:萱萱 区域:浦东新区 电报号:@xing198011 老师个人频道:https://t.me/hfudddjhd 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178979852778 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178979852778 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not co…
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104152260918 名字:软软 区域:闵行区 电报号:@ruan2007 老师个人频道:https://t.me/rurukb 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178971580906 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178971580906 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not contain …
❤1
Posted without readable text
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104150260918 名字:月见优子 区域:青浦区 电报号:@Yz20070 老师个人频道:@yz8927 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178965225599 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178965225599 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not contain any illegal…
❤1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 编号:104149260917 名字:琦琦 区域:闵行区 电报号:@qiqi123a 老师个人频道:https://t.me/qiqidequanquan1 总评数量:0 评价:点击 https://t.me/gmdast_bot?start=commentTeacher-TE178964646975 此链接评价老师 详细资料:请点击 https://t.me/gmdast_bot?start=teacherContact-TE178964646975 此链接查看老师详细服务和联系方式 光明顶总入口 日常3w+狼友群 This channel strictly adheres to Telegram's rules and does not…
Showing the 12 most recent of 89 posts we hold for @moduguangmingding1. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 30 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@diaoshi69 · 6,8335 posts特工验证榜
@godagent007 · 17,6634 posts冰哥的米其林厨房
@icebteakitchen · 5,1503 posts叶若雨18(闵行)花园
@shxixi652 · 2,6672 postsTom猫的笔记
@Tomcatnotes · 2,0742 posts小王吃不饱的Nature
@wangxiaochi99 · 7522 posts小倩同学💕
@xiaoqian0822 · 6392 posts北忆✍🏻课表
@beiyipp · 1,2231 post普陀 彩禾
@caihe22557 · 761 post金桥越南人妻的小窝
@guai111555 · 2981 post涵涵的后花园
@hdidbjdhjccccc · 1,8441 post柠萌的秘密花园💝
@liay00000 · 1,1791 post小龙女姑姑
@longnvgg6 · 7,1471 post瑞瑞三年级二班
@lx295352181 · 2,1601 post铁汁加油
@paopao8299 · 761 post安婷🉑舌吻(闵行)个人频道
@shptqlht23 · 2,2601 post思瑶的课表🥰
@siyao0817 · 1371 post安安
@sun12su · 6291 post上海普陀糖果🍬豆豆有🏠🉑外
@tangguodoudou6668 · 1,7781 post闵行七宝糖糖老师
@wwwnanfeng · 4781 post分享群
@xiao99988bot · 101 post你的小姨子
@xinx671 · 1,2921 post雪落红尘为君来
@xuenibaby111 · 2,1161 post知知的课表
@zhizhikb · 1,2331 post
Names
Channels on the register whose handles appear in this channel's posts.
@shmdgmd · 41,45689 posts普陀 彩禾
@caihe22557 · 761 post全能菲酱 沪上极品白小纯
@feibb520 · 3,6551 post萱萱的小窝
@hfudddjhd · 251 post辣可可🌶️@小窝
@lemi66601 · 1,8041 post水磨~沐雪的空间
@liushishi1237 · 1151 post豆豆频道💋
@mengmeng19800 · 7,1121 post美少女课表
@minshao6u · 2,7621 post妮妮
@nini7678 · 7001 post琦琦的小圈圈
@qiqidequanquan1 · 81 post起司猫💭【忠于主人】
@qisimao20254 · 1,9221 post课表
@rurukb · 211 post糯糯频道
@shiruor1 · 461 post思瑶的课表🥰
@siyao0817 · 1371 post上海普陀娜娜
@sznana_88 · 7,1451 post杭州夏初宝宝的开课频道
@xiachu66 · 1,1211 post深圳汐沅潮喷💦🉑SM🉑上门🉑户外🫦🫦
@xiyuan066 · 8,6491 post🌙上海独家首创|日式私浴沉浸·海洋潮汐按摩·古典根浴健阳理疗
@yz8927 · 4561 post知知的课表
@zhizhikb · 1,2331 post子怡的个人频道
@ziyizzyy · 2,0071 post
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.
“魔都光明顶教学课程展览室1” (@moduguangmingding1), 38,922 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/moduguangmingding1.
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.