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Telegram profile photo for Lina朋友圈

Channel

Lina朋友圈

@linalina8899

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

7,467subscribers

-1,673 since we began measuring on 17 August 2026

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

Register entry

Telegram ID-1003740008600
TypeChannel
Username@linalina8899
CreatedBetween 1 February 2026 and 3 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 August 2026
Last confirmed live18 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/linalina8899

Topic

Adult — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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.

Growth

7,4679,1408,303.517 August 2026 — 9,140 subscribers18 August 2026 — 9,107 subscribers21 August 2026 — 8,984 subscribers24 August 2026 — 8,781 subscribers27 August 2026 — 8,618 subscribers29 August 2026 — 8,466 subscribers1 September 2026 — 8,361 subscribers5 September 2026 — 8,178 subscribers10 September 2026 — 7,943 subscribers14 September 2026 — 7,735 subscribers18 September 2026 — 7,467 subscribers17 August 202618 September 2026
11 measurements spanning 32 days, net -1,673. 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”. The vertical axis spans 7,216–9,391 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 13:207,467-268
14 Sept 2026, 08:557,735-208
10 Sept 2026, 12:397,943-235
5 Sept 2026, 13:408,178-183
1 Sept 2026, 15:058,361-105
29 Aug 2026, 22:038,466-152
27 Aug 2026, 05:138,618-163
24 Aug 2026, 12:288,781-203
21 Aug 2026, 04:378,984-123
18 Aug 2026, 01:129,107-33
17 Aug 2026, 14:169,140first reading

Engagement

25 posts held, back to 3 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.11%
avg views ÷ 7,467 subscribers
Avg views / post
606
4 posts measured
Reaction rate
0.188%
reactions ÷ views · ER floor
Posts in window
4
of 25 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 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held25 (3 June 202628 August 2026)
Views total2,423
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:46 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
7s
Average length
7s

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

67 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 91.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6191.0%
👍34.48%
🥰22.99%
😁11.49%

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 20 of the 25 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 3 June 2026 to 28 August 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

2 Aug 2026, 05:30 UTC≈11,700 views6 reactionsread 28 August 2026
Photo

宝宝们以后约课尽量💯定预约或者提供约课记录宝宝们!不想被放🐦了,熟人不需要,放🐦子不说明原因就直接拉黑了!约课请打直球,不闲聊,没回信息就是在忙或者睡觉了,谢谢宝宝们体谅,爱你们😘

4🥰2

2 Aug 2026, 04:27 UTC≈9,800 views3 reactionsread 28 August 2026
Forwarded from @ibbw_reports

杭州ibbw:https://t.me/hz_bbw 【个人评价】: #好评 【人照几成】:一样 【验证留名】:喂我花生 【验证时间】:7.31 【妹子艺名】: #Lina 【联系方式】: @Lina689321 【所在位置】: #萧山 【安 全 性】:小区 【修车水费】:工兵pp 【身高体重】:168 110 【胖瘦赘肉】:刚好,非常匀称,大车灯明显 【肤质肤色】:白皮 【罩杯胸型】:f 【老师尺码】: M(标准BBW) 【服务种类】:御姐,野性 【服务态度】:非常耐心,配合度高 【优点缺点】: 缺点:无,唯一就是如果狼友非常喜欢肉感的话老师可能还差点,基本和频道一模一样 优点:老师非常符合自己的性癖,课表该有的都有,频道的报告也非常真实 补充描述: 工兵pp约了好几天终于等开课约上了,选择了一个炎炎夏日午后cj,这是复刷了,小狼每次cj都会整理好以仪容仪表,提前口香糖,漱口水,进门寒暄了几句,接着就是大

3

2 Aug 2026, 04:27 UTC≈7,880 views3 reactionsread 28 August 2026
Forwarded from @ibbw_reports

杭州ibbw:https://t.me/hz_bbw 报告正文 【个人评价】: #好评 【人照几成】:9成 【验证留名】:今晚打老虎🐯 【验证时间】:7.31 【妹子艺名】:Lina689321 【联系方式】:https://t.me/linalina8899 【所在位置】: 萧山 【安 全 性】:小区 【修车水费】:5工兵优惠3 【身高体重】:175左右 【胖瘦赘肉】:前凸后翘,没有赘肉 【肤质肤色】:黄白皮 【罩杯胸型】:大胸 【老师尺码】: 大BBW 【服务种类】:配浴,水中萧,69,深喉,乳交,舔胸,爱爱 【服务态度】:热情 【优点缺点】:老师比较热情,i人福音 缺点:无 补充描述:中了老师工兵,前两天老师休息,一开课就约了下午课,到地方老师引导上楼,中间有点小插曲最后还是顺利进门,老师比较热情上来就递水,交了水费后和老师共浴,老师身材真好前凸后翘胸特别大,水中萧非常舒服差点胶带了,有一次性漱口水,床上服务老

3

17 Jul 2026, 11:18 UTC≈11,400 views8 reactionsread 28 August 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#混血Lina 【老师 I D :】@Lina689321 【出击时间】7月15日 【大概位置】拱墅 【狼友账号】#洋芋 【开课价格】pp1400(优惠券200) 【老师类型】御姐 【大概年龄】26 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 9分 身材 9.8分 胸型 10分 户型 10分 水量紧度 9.8分 硬件评分:48.6 软件: 服务态度 10分 服务技巧 9.5分 屌感 10分 啪啪反馈 10分 突出技巧 10分 软件评分:49.5 综合评分:98.1 软件硬化工程施工过程: #前言 出击太累想闭关,奈何手贱总想浏览一下频道,看看爆哥有没有什么新菜,这不来了个混血的,身材也是极其丰满的bbw,其实之前就在其他频道见过这位老师了,但是当时被下菜怕了,

8

17 Jul 2026, 11:17 UTC≈8,330 views5 reactionsread 28 August 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#lina 【老师 I D :】@Lina689321 【出击时间】7月16日 【大概位置】萧山区 【狼友账号】老实人 【开课价格】800 【老师类型】御姐 【大概年龄】25 【客观评价】好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8 分 身材 8 分 胸型 9 分 户型 8.5 分 水量紧度 8.5 分 硬件评分:42 软件: 服务态度 10 分 服务技巧 9 分 屌感 9 分 啪啪反馈 8.5 分 突出技巧 9 分 软件评分:45.5 综合评分:87.5 软件硬化工程施工过程: 【前言: 七月熏风吹不尽,钱塘暑气如潮。 青衫初到惹尘嚣。 长街蝉语乱,心事逐云飘。 莫道炎天难入画,偏逢佳客妖娆。 一帘灯影笑相招。 今宵杭州梦,胜却旧时桥。 七月的杭州,像是一杯被阳光遗忘在桌角的烈茶,浓烈、滚

4👍1

17 Jul 2026, 11:17 UTC≈6,690 views2 reactionsread 28 August 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#Lina 【老师 I D :】@Lina689321 【出击时间】7月14日 【大概位置】萧山 【狼友账号】 【开课价格】800 【老师类型】 【大概年龄】23 【客观评价】好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8分 身材 8分 胸型 9分 户型 8分 水量紧度 8分 硬件评分:41 软件: 服务态度 9分 服务技巧 8分 屌感 8分 啪啪反馈 9分 突出技巧 9分 软件评分:43 综合评分:84 软件硬化工程施工过程: 一直想试试老师这种类型的,被老师频道里的报告和视频吸引,于是约好了课,准时到达,进门看到老师确实感觉很好,身材非常爆炸,人也非常热情,坐在沙发上就亲了过来,脱了衣服去洗澡,洗澡的时候全自动,浴中箫时间也很久,洗完澡上床,没有要穿情趣,老师躺下也是忍

1😁1

Showing the 12 most recent of 25 posts we hold for @linalina8899. 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 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.

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.

“Lina朋友圈” (@linalina8899), 7,467 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/linalina8899.

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.