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Channel
@meinvtvb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Cite this entry
98,211subscribers
+44,121 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001282414918 |
|---|---|
| Type | Channel |
| Username | @meinvtvb |
| Description | av剧情 ai短剧视频黑丝强奸 |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/meinvtvb |
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 9 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Sept 2026, 23:19 | 98,211 | +10,525 |
| 18 Sept 2026, 06:40 | 87,686 | +1,758 |
| 16 Sept 2026, 01:36 | 85,928 | +1,586 |
| 14 Sept 2026, 05:00 | 84,342 | +2,317 |
| 12 Sept 2026, 09:38 | 82,025 | +2,907 |
| 10 Sept 2026, 03:19 | 79,118 | +3,839 |
| 6 Sept 2026, 20:17 | 75,279 | +2,780 |
| 4 Sept 2026, 07:42 | 72,499 | +724 |
| 2 Sept 2026, 22:26 | 71,775 | +604 |
| 1 Sept 2026, 23:46 | 71,171 | +578 |
| 1 Sept 2026, 00:18 | 70,593 | +648 |
| 30 Aug 2026, 22:34 | 69,945 | +621 |
| 30 Aug 2026, 01:37 | 69,324 | +532 |
| 29 Aug 2026, 04:13 | 68,792 | +713 |
| 28 Aug 2026, 01:28 | 68,079 | +588 |
| 27 Aug 2026, 02:03 | 67,491 | +774 |
| 25 Aug 2026, 23:07 | 66,717 | +750 |
| 24 Aug 2026, 22:05 | 65,967 | +1,147 |
| 23 Aug 2026, 08:26 | 64,820 | +1,202 |
| 21 Aug 2026, 17:19 | 63,618 | first reading |
356 posts held, back to 4 August 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 161 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 1 October 2026 |
|---|---|
| Posts held | 356 (4 August 2026 – 1 October 2026) |
| Views total | 3,962,760 |
| Reactions total | 2,129 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 02:42 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 2 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.
3,280 reactions across 352 posts, in 12 distinct kinds. The most used accounts for 89.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,925 | 89.2% | |
| 👍 | 265 | 8.08% | |
| 😁 | 41 | 1.25% | |
| 👏 | 15 | 0.457% | |
| 🤷♀ | 11 | 0.335% | |
| 🔥 | 8 | 0.244% | |
| 👎 | 6 | 0.183% | |
| 🤣 | 3 | 0.091% | |
| 🥰 | 2 | 0.061% | |
| 🦄 | 2 | 0.061% | |
| 😱 | 1 | 0.03% | |
| 🤔 | 1 | 0.03% |
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 356 of the 356 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 3,280 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 356 most recent posts we hold, published 4 August 2026 to 1 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.
高清无码AV作品(只发精品) https://t.me/+kSrUrgvjGkdiMjBl ai成人短剧🔞每日更新精品资源 https://t.me/+mCP98oyZzS9mOWRl 私密搜飞机上的资源🔞🔍 https://t.me/+ltiNhaBUwzA5OWIx
❤2😁1
(只发好片)JUR-161 「欸,你老婆超赞的哦!」这是只待了三个月就离职的员工,在辞职信上留下的惊人NTR宣言 #木下凛凛子 #制服 #熟女 #人妻 #巨乳 #中出 完整视频放底下
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(只发好片)ROE-318 在见证女儿幸福的同时……却在婚礼宴席上,被女婿侵犯的母亲 #吉永塔子 #和服 #熟女 #人妻 #中出 完整视频放底下
❤5
(只发好片)PRED-741 那位拥有丰满翘臀、无意识诱惑的欲求不满已婚主妇,我利用短暂的时间与她进行了疯狂的后入内射偷情 #白峰美羽 #便利店 #人妻 #中出 #少女 完整视频放底下
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(只发好片)#网调我的冰山妈妈 第四集 #ai短剧 白日里她是华耀集团冷血高傲的冰山CFO,禁欲且不可侵犯;深夜里她却是卑微顺从的“冰蝶”,在主人的命令下剥开蕾丝,跪求宠幸。而最禁忌的快感在于——那个掌控她身体、羞辱她灵魂的“暗夜君王”,竟然是她自己的儿子。正经职业装下藏着怎样的骚浪?禁忌伦理中孕育出多少情欲?快来揭开这段母子之间不可告人的私密契约! 完整视频放底下
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(只发好片)#东京牛头人 第一集 #ai短剧 我的妈!刚来日本上大学你就让我当牛头人?还是给日本最大黑帮的老大戴绿帽?等等黑道大小姐你的脸怎么红了?求你介绍你妈妈给我认识可以吗?!! 完整视频放底下
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(只发好片)#母上攻略 第六集 #ai短剧 少年攻略目标竟是自己的母上。从日常相处到禁忌沉沦,母子界限渐渐模糊,一场背德之恋悄然展开。 完整视频放底下
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(只发好片)START-258 被派驻到偏远小村庄的护士,竟然每天都在接受岛上男人的「播种」款待,在子宫内孕育新生命 #青空光 #群交 #轮奸 #凌辱 #中出 完整视频放底下
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(只发好片)SONE-613 女偶像出外景时,与自己厌恶的中年性骚扰制作人被安排住进同一个房间…不料,一夜持续不断的激烈交配,让她不小心动了情 #石田佳莲 #和服 #黑丝 #颜射 #少女 完整视频放底下
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(只发好片)IPZZ-542 「不好意思,让你的小鸡鸡翘起来了呢~」继子在女汤里意外勃起,害羞的继母偷偷帮他解决,结果自己也忍不住,把他当成自己的发洩玩具 #仲村美羽 #和服 #人妻 #中出 完整视频放底下
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(只发好片)#母恋在青春期 第一集 #ai短剧 在都市霓虹交织的夜晚,熟女秦婉的优雅身影悄然融进公寓的柔光。青春期儿子的心跳如鼓点般催促,她轻启朱唇,带着禁忌的暖意,轻轻拉近彼此的距离。母子之间的暗涌悄然翻腾,成熟的香气与少年荷尔蒙交融,悄然编织出一段隐秘的亲密。 完整视频放底下
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(只发好片)#真人奴可梦训练大师 第二集 #ai短剧 十八岁还要考大学?不,先找个妈当“奴可梦”开练!😍沈予安被嘲矮小,一怒之下契约亲妈沈婉晴。擂台之上,母亲化身痴女特工,当众自扣升温,随即骑脸暴射,不仅让对手赵昊当场缴械流精,更送上了NTR掠夺的刺激快感! 完整视频放底下
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Showing the 12 most recent of 356 posts we hold for @meinvtvb. 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.
@meinvtvb edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“每日一撸(只发好片)” (@meinvtvb), 98,211 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/meinvtvb.
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.