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Channel
@LspGame
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
140,554subscribers
-346 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001669053987 |
|---|---|
| Type | Channel |
| Username | @LspGame |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/LspGame |
Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 07:01 | 140,554 | +154 |
| 3 Sept 2026, 08:36 | 140,400 | -53 |
| 2 Sept 2026, 00:34 | 140,453 | -36 |
| 1 Sept 2026, 03:05 | 140,489 | -28 |
| 31 Aug 2026, 04:55 | 140,517 | -41 |
| 30 Aug 2026, 07:44 | 140,558 | -24 |
| 29 Aug 2026, 09:54 | 140,582 | -51 |
| 28 Aug 2026, 07:13 | 140,633 | -6 |
| 27 Aug 2026, 10:25 | 140,639 | +13 |
| 26 Aug 2026, 13:23 | 140,626 | -16 |
| 25 Aug 2026, 16:37 | 140,642 | -17 |
| 24 Aug 2026, 19:57 | 140,659 | -68 |
| 23 Aug 2026, 02:13 | 140,727 | -51 |
| 21 Aug 2026, 11:47 | 140,778 | -27 |
| 20 Aug 2026, 14:37 | 140,805 | -11 |
| 19 Aug 2026, 14:22 | 140,816 | -24 |
| 18 Aug 2026, 12:43 | 140,840 | -59 |
| 17 Aug 2026, 13:17 | 140,899 | +1 |
| 16 Aug 2026, 08:24 | 140,898 | -28 |
| 14 Aug 2026, 20:06 | 140,926 | first reading |
13 posts held, back to 26 July 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 68 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 13 (26 July 2026 – 4 September 2026) |
| Views total | 579 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 15:52 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.
Lifetime counters from Telegram’s own channel header, read 7 September 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.
61 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 62.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 38 | 62.3% | |
| 👍 | 23 | 37.7% |
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 12 of the 13 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 61 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 26 July 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.
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名称:あ、幽霊 啊、幽灵 社团: 白夜彩夢 标签:#RPG #官中 #动画 #纯爱 #MMD #鬼娘 #巨乳 #巨臀 平台:双端 游戏介绍: 「在网上看到某个灵异视频后,三天内必定离奇死亡」 从很久以前就有这样的,老套的都市传说... 而你,在偶然观看了那个灵异视频后,周围开始频繁出现各种灵异现象 明明没人动,却自己打开的电视机,深夜突然想起的电话... 随后,出现在你身后的是... 传说中的大恶灵-「沙耶大人」 「啊呜...啊呜啊呜」...沙耶大人好像在说着什么. 「啊呜、啊呜♪」...沙耶大人高高在上的样子宣言着什么. 「啊呜...啊呜ꐦ!」...沙耶大人不知道为什么生气,开始向你扑来 仅仅是触碰到就会被夺走生气(精气),一不小心就会死掉 这种危机情况下,你的恐惧心却越来越少... 要问为何... ... ... ... 「这家伙...是不是...欧派、太大了吧?...」 ... ... 是被她夺…
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名称:神の血:The Blood of Yidhra 社团:WhitePeach 标签:#战斗 #女主视角 #ACT #强暴 #虐待 #猎奇 #动态 #僵尸 简介: 本作是一款2D横版动作游戏,玩家需要运用枪械、近战武器和特殊武器的组合,击败失去理智的感染者。 本作延续了前作《伊德拉之影》的故事,并着重刻画了围绕伊德拉的真相,聚焦于德尔塔、双叶和真希三人。 除了常规的枪械和近战武器外,本作 还新增了火焰喷射器、榴弹发射器和复合弓等特殊武器。 每种武器都拥有不同的攻击动画,游戏还包含敌人肢解特效以及包含R18元素的CG/H场景动画。
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名称:天使の早漏治療クリニック 天使的早泄治疗诊所 社团:べあふるーつ 标签:#战斗 #护士 #纯爱 #女主攻 #巨乳 #巨臀 #SLG #AI汉化 #全存档 #动漫 简介: 主人公饱受早泄和受虐倾向的困扰,总是败给出现在地牢里的怪物女孩。 一次偶然的机会,他发现了一块写着“天使诊所,专治早泄”的招牌。在那里,他 遇到了自称天使护士、面无表情的塞拉。 塞拉提出的治疗方案是:忍受她的诱惑,逐渐习惯性爱。主人公 虽然感到困惑,但还是接受了治疗。不出所料,他无法抵挡塞拉的诱惑,在她面前露出了自己可怜的一面。 然而,塞拉面无表情的嘴里却吐出一连串温柔的话语,比如“可爱”、“我爱你”……
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Showing the 12 most recent of 13 posts we hold for @LspGame. 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.
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.
Named by 4 registered channels — 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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“黄油分享” (@LspGame), 140,554 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/LspGame.
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.