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Channel

橘络女神的视频频道

@ooojlnsSAMA

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

2,090subscribers

+40 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002240392289
TypeChannel
Username@ooojlnsSAMA
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/ooojlnsSAMA

Growth

2,0502,0902,0707 August 2026 — 2,050 subscribers7 August 2026 — 2,050 subscribers10 August 2026 — 2,070 subscribers16 August 2026 — 2,084 subscribers20 August 2026 — 2,087 subscribers26 August 2026 — 2,089 subscribers29 August 2026 — 2,090 subscribers7 August 202629 August 2026
7 measurements spanning 22 days, net +40. 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 2,044–2,096 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 14:392,090+1
26 Aug 2026, 14:422,089+2
20 Aug 2026, 01:462,087+3
16 Aug 2026, 21:442,084+14
10 Aug 2026, 19:162,070+20
7 Aug 2026, 19:102,050no change
7 Aug 2026, 17:182,050first reading

Engagement

17 posts held, back to 25 May 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.3%
avg views ÷ 2,090 subscribers
Avg views / post
424
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 17 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 4 August 2026
Posts held17 (25 May 20254 August 2026)
Views total424
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:18 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
8m 03s
Average length
1m 09s

Measured directly from 7 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

18 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18100.0%

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 6 of the 17 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 25 May 2025 to 4 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

4 Aug 2026, 10:09 UTC424 viewsread 7 August 2026
Video

粗口辱全家 中指脚底羞辱 时长3:10 编号dy41、售价52r 购买私信 @juluonvshen

21 Jul 2026, 16:32 UTC≈1,260 viewsread 7 August 2026
Photo

臭绿帽 十五分钟的高压爆耍粗口羞辱爽晕你了吧

13 Jul 2026, 12:41 UTC≈1,810 views2 reactionsread 7 August 2026
Video

因为你的鸡吧又小又软 所以你的女朋友总在外边被鸡吧比你大的野男人操成下贱母狗精盆飞机杯 偶然看见我的脚底的你突然硬起来 变成我脚底的下贱绿毛龟白痴脚奴被我控制撸射 编号dy40 售价78 时长7:34 购买私信 @juluonvshen

2

12 Jul 2026, 00:57 UTC≈1,620 viewsread 7 August 2026

现在在吉林市啦 线下的可以私信 附近地区包机酒+往返可去

2 Jul 2026, 13:20 UTC≈2,270 views1 reactionsread 7 August 2026
Video

重口粗口辱骂 带全家 编号dy39 时长5:07 售价66 dy38+dy39 99打包 购买私信 @juluonvshen 可定制

1

2 Jul 2026, 06:12 UTCviews —

橘络女神的视频频道 pinned «购买视频统一私信 @juluonvshen»

1 Jul 2026, 15:53 UTC≈1,930 viewsread 7 August 2026
Video

因为运动后的鞋袜以及沾满汗水的脚底而沦陷把袜子扔到你的脸上用拖鞋扇你的狗脸编号:dy38 售价60 时长:8:35 购买私信 @juluonvshen #橘络女神

30 Apr 2026, 06:22 UTC≈3,020 viewsread 7 August 2026

需要根据自己能力上贡或者报销 平常发言不积极只在群里潜水会被踢出 账单报不完全能报多少报多少 不定时会在群里各种类型ck羞辱等tj 群门槛30

Showing the 12 most recent of 17 posts we hold for @ooojlnsSAMA. 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.

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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“橘络女神的视频频道” (@ooojlnsSAMA), 2,090 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/ooojlnsSAMA.

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.