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Telegram profile photo for 沫沫的后花园

Channel

沫沫的后花园

@momoyujie

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

5,937subscribers

+5,929 since we began measuring on 5 September 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003926139411
TypeChannel
Username@momoyujie
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded5 September 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/momoyujie

Growth

86,4343,2215 September 2026 — 8 subscribers5 September 2026 — 8 subscribers7 September 2026 — 171 subscribers14 September 2026 — 6,434 subscribers18 September 2026 — 5,937 subscribers5,9375 September 202618 September 2026
5 measurements spanning 13 days, net +5,929. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 10:175,937-497
14 Sept 2026, 07:356,434+6,263
7 Sept 2026, 16:41171+163
5 Sept 2026, 11:228no change
5 Sept 2026, 10:478first reading

Engagement

5 posts held, back to 5 September 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 · 30 days
0.212%
avg views ÷ 5,937 subscribers
Avg views / post
12.6
5 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
5
of 5 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 September 2026
Posts held5 (5 September 2026 – 5 September 2026)
Views total63
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Sept 2026, 11:22 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.

What this channel posts

Video runtime
8s
Average length
8s

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.

Recent posts

5 Sept 2026, 10:06 UTC4 viewsread 5 September 2026
Forwarded from @szylzy1Photo

🆔艺名: 沫沫 📍地址: #龙华 💲价格:#600p #1000pp 🚀私聊: @momoyujie520 💬报告: 点击查看报告 🗓️特色:#御姐 #舌吻 #69p #毒龙 #SM #双飞 #上门

5 Sept 2026, 08:49 UTC15 viewsread 5 September 2026
Forwarded from @szxichapdPhoto

深圳·喜茶 《花名》 #沫沫 《地址》 #龙华 《形体》 (168cm)(52kg)(36C) 《课费》 (600p)(1000pp) 《联系》 @momoyujie520 《频道》 @momoyujie 《标签》 🐍吻 69 🈚套吹箫 陪洗 毒龙 口爆 舔咪咪 舔蛋蛋 调情 抓龙筋 跳跳糖 🧊🔥两重天 啪啪 情趣内衣 丝袜制服 姿势配合 蜜桃臀 风骚御姐 紧致💦多 🉑车震 双飞 轻度SM 各位大侠、心动不如行动。 出击 出击 出击 🏃 ⚠️⚠️无论新旧老师,差评过多直接下牌

5 Sept 2026, 08:44 UTC18 viewsread 5 September 2026
Forwarded from @szll29Photo

📊 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 【常驻群】深圳兰苑 榜单 报告群 报告,好评 💃🏻【芳名】#沫沫大长腿(可双飞) 🏠【位置】#龙华 💵【课费】#600p #1000pp ✈️【联系】 @momoyujie520 🤖【备用联系】 @momoyujiebot 🎉【频道】 https://t.me/momoyujie 💯【标签】#舌吻 #激情69 #毒龙 #无套口 #制服 #丝袜 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,报告可在下方评论区可全部查看:👇👇

5 Sept 2026, 08:07 UTC21 viewsread 5 September 2026
Photo

深圳龙华 #沫沫 @momoyujie520 已在高牌红中验证上榜🤫🤫😑 狼友可放心出击!🤯😥☹️😭 不搞花里胡哨,天花乱坠的,只求公平 公正 公开 🥺红中验证榜单: @xog888 😢红中交流群: @hz1916 🫡红中福利院: @eibmi 😓红中报告榜: @ice1000 😓一键关注:https://t.me/addlist/lESWGk12NkhmZDFh

Showing the 5 most recent of 5 posts we hold for @momoyujie. 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 5 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.

“沫沫的后花园” (@momoyujie), 5,937 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/momoyujie.

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.