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Channel

广州佛山蓝蓝的日常频道

@lanlanchannela

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

208subscribers

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003988022521
TypeChannel
Username@lanlanchannela
Description主要分享每日通知 电报: @lanlan2005a 双向: @lanlanasbot
Created25 April 2026 — measured — dated from the channel’s first post
First recorded7 October 2026
Last confirmed live7 October 2026
Measurements held1
On Telegramt.me/lanlanchannela

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Oct 2026, 12:22208first reading

Engagement

16 posts held, back to 25 April 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
88.5%
avg views ÷ 208 subscribers
Avg views / post
184
11 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
13
of 16 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 11 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 7 October 2026
Posts held16 (25 April 2026 – 7 October 2026)
Views total2,024
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Oct 2026, 12:22 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

Photos
2
Videos
4
Links
2

Lifetime counters from Telegram’s own channel header, read 7 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
41s
Average length
10s

Measured directly from 4 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

2 reactions across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 2 of the 16 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 25 April 2026 to 7 October 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

7 Oct 2026, 08:59 UTC67 viewsread 7 October 2026
Forwarded from @vvjf123

【蛇教报告】[@snakenavigation] 【所在地区】佛山禅城 【老师艺名】蓝蓝 【联系方式】@lanlan2005a 【验证留名】假面骑士 【验证时间】10.6 【上课价位】1500pp 【人照几成】9成 【特色服务】蛇吻,水中箫 【满意程度】9.9 【体验细节】之前想约,但一直休息,看到开课就马上预约了,看到真人跟视频里面差别不大,感觉还有几分像濑户环奈,但胸跟环神没得比,顶多算B吧,偏小,劝退匈奴人啊喂,不过我喜欢小馒头的,服务的时候十分卖力,蛇吻和口都是不叫停不停的,让我想起了以前在中介约的甜心,可惜甜心已经不做了,这个老师也行吧,但在我心里甜心才是第一的 温馨提示: 报告仅供参考 报告提交机器: @emperorsnake_bot

7 Oct 2026, 08:30 UTC46 viewsread 7 October 2026
Photo

🎰@lanlan2005a 蓝蓝杰尼龟福利抽奖 🎁奖品如下: 50口令红包 x 2 🎟参加条件: 加入-广州杰尼龟修車樂園 加入-广州最全娱乐资源【杰尼龟】 加入-广州杰尼龟【公告】 加入-杰尼龟中转【防丢失】 加入-广州佛山蓝蓝的日常频道 📝抽奖说明: 1. 兑奖请联系 @lanlan2005a 2. 优惠券自开奖时间起 7 天内有效。 3. 炸号者中奖作废。 4. 发奖人在发奖前请仔细阅读发奖指引,以防奖品被冒领造成不必要的损失👉 https://t.me/kind216/238 ⏰开奖时间: 2026-10-09 16:29:00

25 Sept 2026, 14:34 UTC255 viewsread 7 October 2026
Forwarded from @vvjf123

【蛇教报告】[@snakenavigation] 【所在地区】佛山禅城 【老师艺名】蓝蓝 【联系方式】@lanlan2005a 【验证留名】加钱哥 【验证时间】9.25 【上课价位】1500pp 【人照几成】9成吧,真人跟视频里差不多 【特色服务】蛇吻,水中箫,鸳鸯 【满意程度】10 【体验细节】留意老师几天了,也看了老哥们的报告,感觉不错,今天中秋放假就出击了,自己开房等老师过来,相比去教室,我还是比较倾向去酒店的,感觉酒店的床更舒服也更卫生一点,洗漱用品也齐全,因为之前去过一些老师,连一次性毛巾都没有的,洗完都只能用纸巾擦干,真的影响体验。老师到了就交水费,然后一起洗澡,洗完鸡鸡后,老师就开始帮我口,水中箫,兴奋刺激,以前没体验过,老师的口活有点东西的,然后差不多了就到床上等了,老师出来后,迫不及待地开始蛇吻,感受老师软软的嘴和舌头,亲的时候老师的手十分不老实,一直撸我的鸡鸡,不一会就硬了,实在受不了了,戴套开干123顺利结…

23 Sept 2026, 14:17 UTC273 viewsread 7 October 2026
Forwarded from @vvjf123

【蛇教报告】[@snakenavigation] 【所在地区】上门 【老师艺名】蓝蓝 【联系方式】@lanlan2005a 【验证留名】匿名 【验证时间】9.22 【上课价位】1500pp 【人照几成】9成 【特色服务】蛇吻,水中箫 【满意程度】10 【体验细节】人照9成,参考榜单上那个视频,白白瘦瘦的,是我喜欢的类型,亲起来完全没有异味,很干净的一个老师,全程都很配合,女友感十足啊,感觉就是在约会,很放松,过程嘛也都是那几样,没啥好说的了,感觉最近都只找她了 温馨提示: 报告仅供参考 报告提交机器: @emperorsnake_bot

Showing the 12 most recent of 16 posts we hold for @lanlanchannela. 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 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 7 October 2026 — this entry's latest reading, not the date you are reading this.

“广州佛山蓝蓝的日常频道” (@lanlanchannela), 208 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/lanlanchannela.

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.