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Channel

高清AV|中文字幕|资源库

@pushav12345

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

33,438subscribers

+328 since we began measuring on 17 September 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003537448586
TypeChannel
Username@pushav12345
Description临时筹备:误封解封: @WMMW333bot
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 September 2026
Last confirmed live19 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/pushav12345

Growth

33,11033,43833,27417 September 2026 — 33,110 subscribers17 September 2026 — 33,110 subscribers19 September 2026 — 33,438 subscribers17 September 202619 September 2026
3 measurements spanning 2 days, net +328. 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 33,061–33,487 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 05:4033,438+328
17 Sept 2026, 10:2233,110no change
17 Sept 2026, 09:4733,110first reading

Engagement

28 posts held, back to 13 September 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.4%
avg views ÷ 33,438 subscribers
Avg views / post
4,820
28 posts measured
Reaction rate
0.056%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 24 of 28 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 20 September 2026
Posts held28 (13 September 202620 September 2026)
Views total134,929
Reactions total70
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 06:23 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
802
Videos
2
Links
782

Lifetime counters from Telegram’s own channel header, read 20 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.

Video runtime
1m 15s
Average length
38s

Measured directly from 2 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

70 reactions across 23 posts, in 3 distinct kinds. The most used accounts for 97.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6897.1%
🐳11.43%
👍11.43%

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 24 of the 28 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 70 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 13 September 2026 to 20 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.

Recent posts

20 Sept 2026, 04:04 UTC519 viewsread 20 September 2026

ㅤ ◈ Happy收藏所【反差母狗】 ◈ 欧美口交の极限深喉♠️ ◈ 青涩的符文少女和精神小妹 ◈ 口爆王 ◈ 少女萝莉福利姬反差母狗❤️ ◈ 姐弟兄妹海角乱伦 ◈ 巨乳网红 公社『重生版』 ◈ 萝莉集合地 ◈ 绿帽淫妻调教母狗大家庭 ◈ 无码AV破解美颜社 ◈ 日本FC2高清AV/美颜社 ◈ 熟女坦克BBW ㅤ ꕥ 全国SM约炮资源点这里

19 Sept 2026, 11:07 UTC≈2,830 views3 reactionsread 20 September 2026
Photo

SNOS-060 身高170公分,20岁的J罩杯巨乳,第一次尝试高潮体验,全脸射精三次实战 年轻女孩拥有傲人的身材,却在亲密体验中充满生涩与紧张。她尝试突破自我界限,经历从羞涩到释放的转变,最终在三次亲密互动中迎来感官的巅峰。这场探索让她陷入身心失控的边界,彻底沉溺于陌生的快感之中。 #渡部穗乃 #长身 #3P #颜射 #巨乳 🪴» 查看内容请点击:此处

3

19 Sept 2026, 11:05 UTC≈2,710 viewsread 20 September 2026
Photo

ADN-772 被紧急送医的失忆强●魔干到怀孕的急诊巨乳女医师。 身为急诊室女医师的她,在值班期间收治了一名身份不明且患有失忆症的男子。面对男子的病理反应与突如其来的失控举动,她在狭窄的隔离病房内被强行压制,从最初的试图诊疗转为无力反抗。在这场混乱的急诊室内,随之而来的生理失控不仅打破了她的职业操守,更令她陷入了意外受孕的未竟危机之中。 #海老咲碧 #接吻 #护士 #凌辱 #人妻 #出轨 🪴» 查看内容请点击:此处

19 Sept 2026, 11:02 UTC≈2,490 views2 reactionsread 20 September 2026
Photo

NTRH-020 我的巨乳老婆,被爱玩花样的上司用「胸部雨刷性交」狠狠玩弄,羞耻到不行。 身为已婚人妻的她,原本与上司保持着正常的职场关系,却在一次独处时被对方以新花样为借口逼近。上司借故触碰她的身体,更利用她的丰满胸部进行羞辱性游戏,让她陷入前所未有的羞耻与慌乱。在快感与屈辱的夹击下,她逐渐失去了对身体的控制,只能任由对方继续开发更多令人难堪的玩法。 #莉莉遥香 #OL #美腿 #凌辱 #丝袜 #中出 🪴» 查看内容请点击:此处

2

19 Sept 2026, 11:00 UTC≈2,270 viewsread 20 September 2026
Photo

推荐两个很不错的暗网搜索引擎㊙️ 👉 暗网搜索引擎① 热瓜|番号|电影 点击直达 👉 暗网搜索引擎② 热点|网红|资源 点击直达

19 Sept 2026, 11:00 UTC≈2,140 views1 reactionsread 20 September 2026
Photo

ROE-494 一直以为是大嫂的华丽内裤,我拿来当打手枪素材,结果其实是妈妈的原味内裤!看不下去的妈妈每天都用她的翘臀和小穴帮我性处理!! 黑川一花 作为家中长子,他一直将大嫂晾晒的蕾丝内裤当作私密幻想的对象,却在某日发现衣物真正的主人竟是母亲。母亲察觉后非但没有点破,反而每日用若即若离的身体接触与暧昧姿态介入他的私密时刻,这场错位纠葛最终在母子间形成了难以打破的窒息亲密。 #吉永塔子 #出轨 #中出 #熟女 #眼镜娘 #亲属 🪴» 查看内容请点击:此处

1

18 Sept 2026, 11:07 UTC≈4,840 views4 reactionsread 20 September 2026
Photo

DVAJ-730 在高潮前一刻的蜜穴,用慢速揉弄抽插先吊胃口,再切成爆速连发逼到极限。美巨乳人妻被这种变速换档模式的调教,舒服到不行的表情 她是新婚不久的人妻,正期待着丈夫给予的甜蜜温存。对方却刻意放慢节奏,用绵长而磨人的方式触碰她的敏感,在她即将到达顶点时突然切换成急促迅猛的攻势。她在两种极端的交替中被推至崩溃边缘,只能在失控的浪潮里彻底沉溺。 #森泽佳奈 #中出 #颜射 #深喉 #出轨 #巨乳 🪴» 查看内容请点击:此处

4

18 Sept 2026, 11:05 UTC≈4,490 views4 reactionsread 20 September 2026
Photo

PFES-135 早上醒来,平常在公司总是超冷淡的内向巨乳女同事穿著内衣过来撒娇...她对我的鸡鸡彻底上瘾,我们疯狂内射干不停。 身为公司里内向寡言的巨乳女同事,她一反平日的冷淡形象,在清晨的客房中只着内衣贴近了我。从克制推拒到主动索取,她的身体动作逐渐失去了往常的界限,沉溺于不断升温的亲密互动。彻底失控的白天演变成一场无休止的沉沦,关系的崩坏与成瘾的后果已然无法挽回。 #宍户里帆 #美腿 #眼镜娘 #巨乳 #丝袜 #短发 🪴» 查看内容请点击:此处

4

18 Sept 2026, 11:02 UTC≈4,170 views2 reactionsread 20 September 2026
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DLDSS-494 在陌生城市被性爱依存症的大姊姊捡回家,沉溺于内射性爱中而变得懒散的同居生活故事。 一名年轻男子在陌生城市流落街头时,被一位热情的大姐姐收留家中。原本感激的借宿生活逐渐变质,他被对方强烈的占有欲和亲密要求卷入漩涡,终日沉溺于肉体欢愉中丧失了奋斗动力。当依赖变成习惯、清醒时却已无法挣脱,他被迫在舒适沦陷与自我重建之间做出抉择。 #月乃露娜 #短发 #黑丝 #脚交 #中出 #丝袜 🪴» 查看内容请点击:此处

2

18 Sept 2026, 11:00 UTC≈3,960 views2 reactionsread 20 September 2026
Photo

IPZZ-835 曾经是我热爱的美巨乳女偶像,因为恋情曝光被解雇,活该沦落成外送援交妹...我欺负她性格软弱,把以前砸下的钱全部讨回来,当成免费肉便器尽情轮●。 她曾是备受瞩目的女偶像,却因恋情曝光而失去了所有光环,如今只能靠着外送服务维生。在重逢之后,对方利用她软弱的性格,一步步将她带往封闭的房间。在累积许久的怨念爆发下,她被迫在冰冷的现实中承受一次次的反复对待,早已无法逃脱这无形的囚禁。 #姬森亚梦 #偶像 #过膝袜 #凌辱 #丝袜 #美腿 🪴» 查看内容请点击:此处

2

18 Sept 2026, 10:00 UTC≈3,690 viewsread 20 September 2026

TG全局搜索引擎-搜你想搜 搜番号,搜演员,吃瓜热点,软件, 影视音乐都可以搜到。 精准匹配直达所需 https://t.me/soooooo123456

16 Sept 2026, 11:07 UTC≈9,030 views5 reactionsread 20 September 2026
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ATID-674 被春药痴汉玩弄到沦陷的卧底女搜查官 在执行卧底任务的女搜查官,原本冷静的伪装在潜入过程中被识破,随即遭到对手的暗算与控制。被迫服下药物后,她的身体在意识对抗中逐渐产生异样反应,而对方的戏弄与支配步步紧逼,令她陷入感官与职责的双重迷失。在这彻底的操控下,身为搜查官的原则与逐渐瓦解的意志之间,她将如何面对这场关乎身份与自我的崩坏。 #海老咲碧 #中出 #痉挛 #痴汉 #调教 #搜查官 🪴» 查看内容请点击:此处

5

Showing the 12 most recent of 28 posts we hold for @pushav12345. 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.

Posts edited after publishing

@pushav12345 edited 3 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.

First edit seen
19 September 2026
Most recent edit
20 September 2026

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“高清AV|中文字幕|资源库” (@pushav12345), 33,438 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/pushav12345.

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.