Photo, posted without a caption
❤1

Channel
@ecquan
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,573subscribers
+64 since we began measuring on 7 November 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003846590655 |
|---|---|
| Type | Channel |
| Username | @ecquan |
| Created | 7 March 2026 — measured — dated from the channel’s first post |
| First recorded | 7 November 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/ecquan |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 08:48 | 1,573 | +64 |
| 7 Nov 2026, 17:22 | 1,509 | no change |
| 7 Nov 2026, 16:47 | 1,509 | first reading |
15 posts held, back to 7 March 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.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 15 (7 March 2026 – 7 November 2026) |
| Views total | 2,302 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 17:22 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 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.
83 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 50.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 42 | 50.6% | |
| 🤬 | 27 | 32.5% | |
| 💔 | 8 | 9.64% | |
| 🖕 | 4 | 4.82% | |
| 🥴 | 2 | 2.41% |
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 14 of the 15 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 83 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 7 March 2026 to 7 November 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 2 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).
Photo, posted without a caption
❤1
⭐ 老师:#coco 🏠 地点:广州天河 ⭐ 账号:@cocojiang07 🚀 频道:https://t.me/+Js2KGBT1ChM0ZTg0 🚀 群组:https://t.me/Cocoguangzhou 💰 价格:1000P 1800PP ⏰ 时间:??? 📖 简评:排骨精嫩妹,很骚很骚,带着一股普遍嫩妹没有的骚气。颜值请参考她频道的图片视频,或者下面色色小视频里那个怼脸自拍的片段。玩的花样很多,玩具,绳索,露出play什么的(露出好像只有包时才能有)。胸a,皮肤正常黄皮偏白,极品大长腿又细又长,腰细屁股大,后入时很爽,视觉效果很棒(请看色色小视频里的后入片段)。做爱技术不错,各种姿势都能把握。态度很好的,有一定的情绪价值。(软件方面因人而异,仅供参考)。 优点:大长腿、腰臀比、服务态度 美中不足:左肩小范围纹身 📸 爱爱小视频(多视角量大管饱了) https://t.me/ECsex_bot?start=35bd
❤3
⭐ 老师:#橙橙宝 🏠 地点:广州天河 ⭐ 账号:@chengcheng07ovo 🚀 频道:https://t.me/chenchenbao070_0 💰 价格:1100P 2000PP ⏰ 时间:??? 📖 简评:各方面都完全戳在我心巴上的萝莉型嫩妹,身材瘦瘦的,兼具长腿,小萝莉穿上白丝美滋滋,我直接一个抱艹。胸A+,颜值挺不错的,戴上她那个黑框眼镜有点幻视阿拉蕾,可爱萌萌的类型。皮肤正常黄皮偏白一点,正面后入女上站着对镜艹都相当配合,态度很好,能聊兼具一定的情绪价值。总结为是广州缺少的少萝,女上的时候她好像来感觉了,自己坐着我鸡鸡死命地往深处顶,往深处磨,我顺势戳了她两下,没想到她直接喷了,爽歪歪,详情请看视频。 📖 总结:大赚对我而言(出击的妹子可以分为:大亏 小亏 不亏 小赚 大赚 这五个大类) 📸预告片(完整色色小视频过几天剪,太多了一时弄不完) https://t.me/tuiguang01_bot?star…
❤3
⭐ 老师:#若柠 🏠 地点:广州天河 ⭐ 账号:@ruoni037 🚀 频道:https://t.me/ruoni032 💰 价格:700P 1400PP ⏰ 时间:??? 📖 简评:亏赚系统出来以后,第一个评价为大赚的老师,什么含金量不用多说了吧。约了1p,结束后没忍住又加了1p,也算是出击历史以来首次了。硬件软件无可挑剔,除了左臂纹身外,实在找不到缺点。很少评价老师的颜值,但我愿意给她高颜值的评价,身材瘦,细胳膊细腿完全戳中我的点(有点类似布丁),而且是冷白皮,做爱配合,态度也无敌,舌吻更是主动索吻伸舌头。三点都偏向粉嫩,小穴紧致,手是玉的,足也是玉的。要约抓紧,预感接下来会爆火不好约。 📖 总结:700P绝对战神,大赚(出击的妹子可以分为:大亏 小亏 不亏 小赚 大赚 这五个大类)
❤3
出击的妹子可以分为:大亏 小亏 不亏 小赚 大赚 这五个大类🌝
❤1
她决心还挺大的🥲
《老师与黄毛的故事》
十全十美,这次是真的画上句号了。
❤7🖕4
四月是我的谎言🥰
❤1
你是人间三月花🥰
❤1
Sticker, posted without a caption
好喜欢布丁、妍妍、番茄、尢尢、小苏、小乖、粥粥、可儿、西瓜、雯雯、七七、琪琪、心心、糯米、船船
🥴2
Showing the 12 most recent of 15 posts we hold for @ecquan. 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.
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.
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“EC·朋友圈” (@ecquan), 1,573 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/ecquan.
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.