Channel name was changed to «林酱的小🌲林»

Channel
林酱的小🌲林
@linzinuo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
522subscribers
+43 since we began measuring on 5 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004386947739 |
|---|---|
| Type | Channel |
| Username | @linzinuo |
| Created | Between 1 June 2026 and 5 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 September 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/linzinuo |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 14:59 | 522 | +32 |
| 8 Sept 2026, 18:38 | 490 | +11 |
| 5 Sept 2026, 15:23 | 479 | no change |
| 5 Sept 2026, 14:47 | 479 | first reading |
Engagement
15 posts held, back to 5 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 228.0%
- avg views ÷ 522 subscribers
- Avg views / post
- 1,190
- 11 posts measured
- Reaction rate
- 0.2%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 15 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 5 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 15 (5 August 2026 – 4 September 2026) |
| Views total | 13,091 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Sept 2026, 15:23 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
- 4s
- Average length
- 4s
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
24 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 33.3% | |
| 👍 | 5 | 20.8% | |
| 🤗 | 5 | 20.8% | |
| 🥰 | 4 | 16.7% | |
| 😁 | 2 | 8.33% |
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 7 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 24 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 5 August 2026 to 4 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
亲爱的宝宝们💗 马上离沪啦 10月左右回归~
👍
🥰4👍2😁1
哥哥的频道 https://t.me/suming004
私聊: @linzinuotg1 私聊机器人: @linzinuo1_bot
❤3
🥷 报告发布:nice 💎 积分等级:VIP 0 —————————————— 🌸 老师:林梓诺 📞 联系:@linzinuotg1 📩 历史评价:https://t.me/xcdd_ss/27279 上海修车大队 💰 水费:2000 💃 颜值身材:高颜值,模特身材 🏡 课室环境:高档课室,干净,整洁 ⚖️ 优点缺点:全是优点吧 🌟 推荐:五颗星 📝 过程描述:前几日cj 关注林林酱有段时间了 现在改名回归了 她说以前的名字太好记了 这个新名字比较普通不好记 讲话蛮有意思的 关注的几位频道主已经测评过 按耐不住诱惑 决定一探究竟 人照是一致的 非科技脸 第一眼有校园女神感 人白 嫩 头发很长很顺 体态好有气质 开始以为ls是学艺术的 后面聊天才知道是理工女 也是很吃惊了 课室干净整洁 看得出ls非常爱干净 床对面有面大镜子 林老师换上情趣内衣 清纯感带着性感 好腿好腰好脸 黑丝手感舒服 后入就是一个小炮架 视觉拉满…
匿名报告 【艺名】:#林梓诺 【价格】:2000 【位置】:普陀 【联系方式】:@linzinuotg1 【身材样貌】: 人照一致,甚至本人还更好看一点,A4腰屁股翘。虽然ls化了妆,但是也能从白花花的大腿看出来ls的底子也是挺白的。颜值党必冲! 【服务过程】: 态度不错,中间换姿势都挺配合。ls也不抽烟+有在健身,也没有纹身,非精神小妹,比较有邻家小妹妹的感觉,同时又有一个很御的颜,属于是这个价位天花板ls了。卧室还有个大镜子非常nice! 标签: @linzinuotg1 #林梓诺 2000p #普陀 点击跳转原始报告【需先加群】 反馈狼友: 匿名狼友 时间:2026-08-26 14:20:24 报告ID:17757 当前进度:1/38
https://t.me/xcdd_bd/36140
🎖精英作业🎖 💃艺名:林梓诺 ✈️资料:https://t.me/shxyls/31453 ⛳️位置: #普陀区 🙍♂️学生:IurIur ———————————————— 今天中午见到她的时候,第一反应是,原来美真的可以是一个很具体的形容词。 她很高,是那种站在人群里自然而然就有存在感的人。漂亮,却从不需要刻意强调什么。她只是安静地坐在那里,便已经让人忍不住多看几眼。 听说她是群里管理的最爱。以前觉得这句话多少带点玩笑意味,今天在她家见到她以后,才忽然有些明白,有些偏爱,大概真的不需要解释。 真正让人记住一个人的,从来不只是外表,而是她身上那种很难复制的气质。成熟、从容,带着一点恰到好处的距离感。让人想靠近,却又不敢太冒失。 聊天的时候,时间走得特别轻。没有刻意制造暧昧,也没有什么轰轰烈烈的桥段。只是阳光很好,空气很安静,偶尔对视,偶尔笑起来,便觉得原本喧闹的城市,好像突然离我们远了一点。 离开,一个人走在午后的街道上…
❤2
林酱的小🌲林 pinned «#林梓诺 普陀开课 🉑上门 👠身高:172 👜体重:48kg 🧚♀️年龄: 05 🐻胸围: 34B 💕五官精致 妆容干净 自然妈生脸 🧘🏻♀️长期健身 A4腰 清晰马甲线 Q弹蜜桃臀长腿玉足 皮肤雪白光滑 紧实有弹性 私处紧致 白🐯 🙅🏻♀️不吸烟 无纹身 高素质 谈吐大方 学历高 性格好 情绪价值高 真人比照片好看 P2000/50分钟 pp3500/100分钟 ✌️8000/23:00-8:00限 3次限熟客 服务:🐍吻 ,69,深🐒,口爆,调情,制服诱惑,情趣内衣,动作配合激情爱爱,温存聊天…»
【艺名】:#林梓诺 【价格】:2000 【位置】:普陀 【联系方式】: @linzinuotg1 【身材样貌】: 肤白貌美大长腿 【服务过程】:五刷林林酱,不对现在是林梓诺,依然是那么熟悉那么美,工作室还是那么干净整洁,时隔一个月,小翘臀好像多了点人间烟火气,过程就是享受,看着小林老师漂亮的脸蛋,完美的身材,被操,兴奋呐,不只是肉体的交融,更是灵魂的碰撞,真的是喜欢 标签: @linzinuotg1 #林梓诺 2000p #普陀 点击跳转原始报告【需先加群】 反馈狼友: Beket 时间:2026-08-23 21:20:24 报告ID:17598 当前进度:1/36
https://t.me/shxyls/31461?single
Showing the 12 most recent of 15 posts we hold for @linzinuo. 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.
Mentions
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“林酱的小🌲林” (@linzinuo), 522 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/linzinuo.
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.