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Channel

乐蛙影视站-入库通知

@GGL_le

On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry

312subscribers

+45 since we began measuring on 2 September 2026

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

Register entry

Telegram ID-1003793610042
TypeChannel
Username@GGL_le
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live18 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/GGL_le

Topic

Film & TV — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

267312289.52 September 2026 — 267 subscribers2 September 2026 — 267 subscribers10 September 2026 — 300 subscribers18 September 2026 — 312 subscribers2 September 202618 September 2026
4 measurements spanning 17 days, net +45. 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 260–319 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 17:20312+12
10 Sept 2026, 13:01300+33
2 Sept 2026, 03:15267no change
2 Sept 2026, 03:00267first reading

Engagement

20 posts held, back to 1 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
3.83%
avg views ÷ 312 subscribers
Avg views / post
11.9
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
of 20 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 2 September 2026
Posts held20 (1 September 2026 – 2 September 2026)
Views total239
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 03:15 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.

Recent posts

2 Sept 2026, 01:41 UTC6 viewsread 2 September 2026
Photo

🎬 新入库 电影 牵阮的手 (2011) ⭐ 评分:N/A / 10 🕒 时间:2026-09-02 09:40 📝 剧情简介: This documentary focuses on the love story between Dr. Tian and Mrs. Tian. And how fought for democratization of Taiwan.

2 Sept 2026, 01:36 UTC7 viewsread 2 September 2026
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🎬 新入库 电影 杀出香港 (1988) ⭐ 评分:7 / 10 🕒 时间:2026-09-02 09:36 📝 剧情简介: 骆汉参加旅行(团)来港寻找妹妹,结识导游莹莹,莹乃老差骨麦之侄女,骆因寻妹而与匪帮汽车追逐,令麦增添不少麻烦。而匪帮头子胡龙恐被骆发现,决乘夜逃亡。而骆之妹被监视,Anne欲通知骆却被发现,引致葬身火海,麦拖延上司,着骆带妹逃走,惜却给邓世杰逃脱,且全部人等被麦之上司制服。而由于...

2 Sept 2026, 01:32 UTC5 viewsread 2 September 2026
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📺 新入库 剧集 权力的游戏前传:龙族 S01E03-E06 (共4集) 📌 年份:2022 | ⭐ 评分:8.4 🕒 时间:2026-09-02 09:32 📝 剧情简介: 在维斯特洛大陆,坦格利安家族的衰落被公之于众。一场被称为“血龙狂舞”的内战即将爆发。

2 Sept 2026, 00:36 UTC9 viewsread 2 September 2026
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📺 新入库 剧集 权力的游戏前传:龙族 S01E03-E06 (共4集) 📌 年份:2022 | ⭐ 评分:8.4 🕒 时间:2026-09-02 08:36 📝 剧情简介: 在维斯特洛大陆,坦格利安家族的衰落被公之于众。一场被称为“血龙狂舞”的内战即将爆发。

2 Sept 2026, 00:31 UTC8 viewsread 2 September 2026
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📺 新入库 剧集 甲贺忍法帖 S01E01-E24 (共24集) 📌 年份:2005 | ⭐ 评分:N/A 🕒 时间:2026-09-02 08:31 📝 剧情简介: 暂无简介...

1 Sept 2026, 23:38 UTC12 viewsread 2 September 2026
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📺 新入库 剧集 文豪野犬 汪! S02E09 📌 年份:2021 | ⭐ 评分:7.2 🕒 时间:2026-09-02 07:38 📝 剧情简介: 西化的浪潮冲击之下的架空都市「横滨」中,以旧时文豪为名的人们使用着神秘的「异能力」进行着生死决斗的动作大作「文豪野犬」。哭泣、呐喊、以灵魂互相碰撞,奔走在生与死的界限的「武装侦探社」与「港口黑手党」的角色们居然——变成了可爱的Q版人物,装傻、吐槽,根本停不下来!?搞笑衍生动画,在此开幕!

1 Sept 2026, 23:38 UTC12 viewsread 2 September 2026
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📺 新入库 剧集 林肯律师 S01E07, E09 (共2集) 📌 年份:2022 | ⭐ 评分:7.725 🕒 时间:2026-09-02 07:38 📝 剧情简介: 洛杉矶精英辩护律师米奇·哈勒开着他标志性的林肯车,在刑事司法系统穿梭游走:他会不惜一切代价打赢官司。

1 Sept 2026, 23:31 UTC6 viewsread 2 September 2026
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📺 新入库 剧集 甲贺忍法帖 S01E01-E24 (共24集) 📌 年份:2005 | ⭐ 评分:N/A 🕒 时间:2026-09-02 07:31 📝 剧情简介: 暂无简介...

1 Sept 2026, 22:38 UTC7 viewsread 2 September 2026
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📺 新入库 剧集 林肯律师 S01E05 📌 年份:2022 | ⭐ 评分:7.725 🕒 时间:2026-09-02 06:38 📝 剧情简介: 洛杉矶精英辩护律师米奇·哈勒开着他标志性的林肯车,在刑事司法系统穿梭游走:他会不惜一切代价打赢官司。

1 Sept 2026, 21:38 UTC9 viewsread 2 September 2026
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📺 新入库 剧集 林肯律师 S01E04, E06, E08 (共3集) 📌 年份:2022 | ⭐ 评分:7.725 🕒 时间:2026-09-02 05:38 📝 剧情简介: 洛杉矶精英辩护律师米奇·哈勒开着他标志性的林肯车,在刑事司法系统穿梭游走:他会不惜一切代价打赢官司。

1 Sept 2026, 19:38 UTC10 viewsread 2 September 2026
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📺 新入库 剧集 林肯律师 S01E03 📌 年份:2022 | ⭐ 评分:7.725 🕒 时间:2026-09-02 03:38 📝 剧情简介: 洛杉矶精英辩护律师米奇·哈勒开着他标志性的林肯车,在刑事司法系统穿梭游走:他会不惜一切代价打赢官司。

1 Sept 2026, 18:39 UTC9 viewsread 2 September 2026
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📺 新入库 剧集 林肯律师 S01E02 📌 年份:2022 | ⭐ 评分:7.725 🕒 时间:2026-09-02 02:39 📝 剧情简介: 洛杉矶精英辩护律师米奇·哈勒开着他标志性的林肯车,在刑事司法系统穿梭游走:他会不惜一切代价打赢官司。

Showing the 12 most recent of 20 posts we hold for @GGL_le. 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.

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.

“乐蛙影视站-入库通知” (@GGL_le), 312 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/GGL_le.

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.