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Channel

青年文摘•晏

@Qingnianwenzhaipyy

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

14,675subscribers

+943 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002353110939
TypeChannel
Username@Qingnianwenzhaipyy
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Qingnianwenzhaipyy

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

13,72414,70314,213.56 August 2026 — 13,732 subscribers7 August 2026 — 13,738 subscribers8 August 2026 — 13,748 subscribers9 August 2026 — 13,751 subscribers10 August 2026 — 13,729 subscribers11 August 2026 — 13,728 subscribers12 August 2026 — 13,733 subscribers13 August 2026 — 13,724 subscribers14 August 2026 — 13,740 subscribers16 August 2026 — 13,770 subscribers17 August 2026 — 13,778 subscribers18 August 2026 — 13,813 subscribers19 August 2026 — 13,816 subscribers21 August 2026 — 13,836 subscribers22 August 2026 — 13,852 subscribers24 August 2026 — 13,866 subscribers25 August 2026 — 14,015 subscribers26 August 2026 — 14,315 subscribers27 August 2026 — 14,581 subscribers28 August 2026 — 14,550 subscribers29 August 2026 — 14,551 subscribers29 August 2026 — 14,592 subscribers31 August 2026 — 14,422 subscribers31 August 2026 — 14,346 subscribers1 September 2026 — 14,352 subscribers3 September 2026 — 14,219 subscribers4 September 2026 — 14,241 subscribers7 September 2026 — 14,273 subscribers10 September 2026 — 14,307 subscribers12 September 2026 — 14,319 subscribers14 September 2026 — 14,390 subscribers16 September 2026 — 14,703 subscribers18 September 2026 — 14,675 subscribers14,6756 August 202618 September 2026
33 measurements spanning 43 days, net +943. 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 13,577–14,850 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 16:1514,675-28
16 Sept 2026, 04:5914,703+313
14 Sept 2026, 09:5714,390+71
12 Sept 2026, 16:2014,319+12
10 Sept 2026, 15:1714,307+34
7 Sept 2026, 11:0014,273+32
4 Sept 2026, 17:4214,241+22
3 Sept 2026, 00:2814,219-133
1 Sept 2026, 23:0514,352+6
31 Aug 2026, 22:0414,346-76
31 Aug 2026, 00:5614,422-170
29 Aug 2026, 23:1714,592+41
29 Aug 2026, 02:1314,551+1
28 Aug 2026, 02:5314,550-31
27 Aug 2026, 05:5414,581+266
26 Aug 2026, 05:5314,315+300
25 Aug 2026, 07:1814,015+149
24 Aug 2026, 04:3413,866+14
22 Aug 2026, 12:1813,852+16
21 Aug 2026, 00:1213,836first reading

Engagement

29 posts held, back to 20 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.6%
avg views ÷ 14,675 subscribers
Avg views / post
3,020
8 posts measured
Reaction rate
0.184%
reactions ÷ views · ER floor
Posts in window
8
of 29 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 7 of 8 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 2 September 2026
Posts held29 (20 July 2026 – 2 September 2026)
Views total24,180
Reactions total38
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:38 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
1m 39s
Average length
11s

Measured directly from 9 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

175 reactions across 26 posts, in 5 distinct kinds. The most used accounts for 58.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10358.9%
💩5330.3%
👍148.00%
👎42.29%
👏10.571%

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 27 of the 29 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 175 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 20 July 2026 to 2 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

2 Sept 2026, 04:42 UTC≈1,090 views3 reactionsread 2 September 2026
Photo

@lanlan_12 #兰兰 代聊 人照8.5,对比照片的差距就是肤色偏黄黑,身高165,大概八十多斤,身材很纤细,没有纹身,胸大概B+胸型很不错,缺点就是牙齿不太好看。 进门也穿着如图所示这套JK白丝,嘴上也是一口一个“哥哥、哥哥”的叫着很乖,蛮乖的,也会主动贴上来在怀里要抱抱,然后一边说些有的没得的话,叽里咕噜的说着什么没吃饱,主包只能问:上面没吃饱还是下面没吃饱。妹妹也是很俏皮的说都没有,那主包只能给你狠狠的塞满了。洗澡的时候也是比较贴心的,女友感这块很足。 洗完后最让人惊讶的是,主包出来坐在沙发上擦水,擦干净了还在沙发上坐着,妹妹出来后看着我的样子,竟然一下跪在主包胯下直接就口了起来,好你个骚母狗本性一下就暴露了,口了会儿又回床上躺在,主包亲了会儿摸下边都已经有点湿透了。就又让妹妹口了一下直接就戴套进去,刚进去妹妹就是很享受的表情,也在不停的呻吟着,可能CJ多了遇到比较入戏的呻吟还觉得有点出戏,结果后面发现妹妹是真…

❤3

1 Sept 2026, 10:41 UTC≈2,810 views1 reactionsread 2 September 2026
Photo

@Yongdaimei520 芷晴,代聊 人照9,照片和本人没啥子区别,一眼就认得出来,长得比较甜乖,身高160的样子,90来斤的样子,身材很不错。胸B非常圆润饱满,肤色正常,人工白虎,没有纹身不土不精神。 进门还是比较惊喜的,人照相似度高,也是主包喜欢的小圆脸,甜甜的乖乖的。性格挺不错的,坐下就有话聊,挺爱笑笑起来也很乖!聊了好一会儿才去洗澡,脱衣服的时候也是感叹年轻真好,皮肤摸着很紧致,身材很不错小腹平坦腰线明显胸不大但是圆润挺拔。 到床上妹妹还稍微有点放不开,主包也是直接翻身上马狠狠的蛇,妹妹蛇的一般但是很配合,边蛇边一手摸胸又摸福,扣的湿漉漉的才让妹妹给我口,口技是有的比较成熟。看差不多了直接戴上让妹妹坐下来,抱着妹妹蛇,可能是夺的有点感觉了,妹妹抱的紧了一些蛇的也更用力了,反馈也很不错。换了姿势传教也是加大力度,妹妹都有点沉浸其中了,主包也是没顶住直接就射了。结束后也没有催,妹妹自己去洗了一下又回到床上陪主包躺着…

❤1

31 Aug 2026, 03:12 UTC≈2,100 views4 reactionsread 2 September 2026
Photo

✈️成都会所半套全套海选✈️ 🥇成都会所 半套 全套 海选🥇 🐉不办卡不充值 没有隐形消费🐉 👎成都100家门店 👎 ✈️提供位置就近安排 全城预约安排✈️ 半套 均价500~700(明码标价具体咨询客服》 全套 均价1000~1500《明码标价具体咨询客服》 预约客服 @FD3111BOT 营业中🌈 半套全套:#青羊,#武侯、#双流,#龙泉,#新都,#郫县,#温江,,#青白江。 🈺业时间:中午2:00-凌晨4:00 💋半全套 海选 极致服务 情人式服务: 裸吹/共浴/丝袜/按摩 口·真颜值/商素庆/直度配合 丝袜 制服 鸳鸯戏水 配合度拉满 气质大牌 形象极佳 谈吐优雅 举止大方 微信:FC19595 微信:kefuyy8866 QQ: 502056374 永久TG客服 @KouBaoHuiSuo(口爆会所) ①会所频道 @ly1351 ②会所频道 @shaokaoo 成都会所—修车觅蚌交流群 https://t.me/…

❤4

30 Aug 2026, 05:02 UTC≈2,580 views5 reactionsread 2 September 2026
Photo

@qiand23 千岛酱,代聊 水一篇回锅报告,亚比妹儿,身高155,体重八十来斤的样子,但是有C的胸!而且不垂。皮肤黄皮,身材属于小矮矮大奈奈而且腰,腿都是比较细的,没有赘肉,身上有纹身不过不属于那种简陋的线条纹身,还挺好看的纹身。 进门没说两句话,千岛就:“我知道你了,就是那个超级温柔的宝宝!”随后就直接骑在主包身上说“我要亲亲”,非常的主动,对比上次有很大的提升,也是在沙发温存了好一会儿,主包也是在沙发上就先摸了个遍,才去洗澡,只能说这种小矮矮大奈奈真的太爱了,奈奈也是越摸越喜欢。 洗完回到床上又是一句“我要亲亲!”主包直接给千岛按在身下又🐍又摸,🐍的都有点窒息了,舌头都快给我吸出来了,然后千岛一下翻过来“我来服务服务你吧”,说罢口了起来,口技有进步到还不是很熟练。做的时候这次主包坚持了三个姿势,只能说整体做爱过程都很舒服。 总结:回锅了,更加主动放得开一些,情绪价值态度都很不错的小蛋糕,这次直接给人家妆都吃掉了,…

❤4👎1

29 Aug 2026, 03:47 UTC≈3,630 views20 reactionsread 2 September 2026
Photo

蛮多i彭问怎么搭建社交帐号的,虽然有点急但你别急,这边还有一个比较轻松点的包养焚决。 先给赞助商打个广告: 不想麻烦,只想花钱找到良家的,认准 https://t.me/zjpnsn 质量信誉皆有保障 1.你需要一个伪装成中介的抖音or小红书号,从昵称到头像到简介都做成让人一看就明白你是做什么的,当然用词不能露骨,不然限流封号概率大,半遮半掩即可。 2.发帖定位。以成都为例,大概率需要把帖子发帖地定位在师范这些女生比较多的院校,自己所在城市有大学城的直接定位大学城即可,毕竟我们需要的是年轻女大。 3.发帖内容和tag。最简单的文本生成单图即可,重点在于内容。以成都举例,文案可以是“成都真就没有喜欢年上sugerdady的女大了吗?”“谈个会爆金币的男友真的太爽了”“男朋友每个月给我8000生活费,在xx学校属于什么水准?”“男朋友每次约会前都给我打钱,不晓得他什么意思”,重点在于让看到的人一眼就看懂这是个什么帖子。 然后…

❤14👍6

28 Aug 2026, 06:19 UTC≈3,570 viewsread 2 September 2026

这下知道为什么要改造自己,练出薄肌,护肤这些了么?你搞钱搞事业再牛逼,你能搞得过孙割么🤣🤣孙割都没能靠金币通关

27 Aug 2026, 07:09 UTC≈3,910 views0 reactionsread 2 September 2026
Video

欢迎来到四川|成都.Chengdu 成都Kiss极致严选外围 う全国Bao养う全国商Kう全半会所 因为专注|所以专业 专注成都八年只为一件性福的事 Kiss三星服务|省心|放心|开心 更多资源|更多活动|更多反馈 让您出击不踩坑 永久Id 🔤🔤🔤🔤6️⃣6️⃣6️⃣

27 Aug 2026, 06:55 UTC≈4,490 views5 reactionsread 2 September 2026

如何低成本攻略良家妹妹(第二期) 这次讲造型和穿搭 都说没得丑女人,只有懒女人。集帅们也是一样的,对自己上心点,给自己改造的打扮起来好一点,让女生倒过来喜欢你呢? (一)造型 建模够硬的自动忽略这个。 首先i彭们对女生都知道看脸看身材,那么女生对自己肯定也是要看脸看身材。 没脸没身材怎么办?没身材就去练! 颜值一般怎么办?做发型、护肤! 首先说发型,这个东西真的很简单,自己对自己没得啥子哈数的,成都到处都有专门做男士造型的工作室,节省一次CJ的钱,让设计师根据你的面相、颜值、气质做一个适合你的发型。然后买个夹板回来自己在网上学咋个夹头发,这些其实不费事,同一张脸不同的发型影响蛮大的,一个好的发型能很大程度的补足一些颜值的不足。 然后是护肤,我自己现在每天在做的就是,早上清水洗了脸之后用洗面奶再洗一下,洗面奶用的坤坤代言的。然后上一层精华露,也很便宜。晚上睡前洗完脸再抹点宝宝霜。几个月下来面部变化挺大的,摸起来也比较嫩滑。这些…

👍3❤2

26 Aug 2026, 07:09 UTC≈3,960 views2 reactionsread 2 September 2026
Photo

👩‍🦰【品牌】:#桃花坞硅胶娃娃体验馆 ☎️【联系】: @taohuajiejie ⚠️【提示】:#商家 #硅胶娃娃 #新奇体验 ❤️‍🔥桃花坞新奇体验馆❤️‍🔥 🥰一个懂男人的专业服务馆、主营日本进口高级性爱娃娃体验 、主打新奇➕刺激 体验感直接拉满🔥 全成都各区域有门店24小时接单、私信客服匹配就近门店安排体验。 🥳新奇体验超刺激➕超强夹吸➕云柔酥胸➕无限火力❤️‍🔥 #硅胶娃娃 #无限火力 #成都全区 客服:@taohuajiejie 群聊:@Y886607 频道:@Y88660702 微信:Y88660702

❤2

23 Aug 2026, 03:21 UTC≈5,840 views3 reactionsread 30 August 2026
Photo

如何低成本攻略良家妹妹(第一期) 先说下个人感悟: 很多i彭会觉得“啊我长得一般,肯定吸引不了女生。”但其实是错误的,拿个人举例,目前的状态就是路人脸路人身材,但是事实上是女生看男生真的不会只盯着一张脸看,她会看你的身材、穿搭,还有你给她的感觉,所以在给人的感觉上提升自己是最重要的。 其次i彭们都上电报了,经济实力大家都是有的,约会只要不是洗根屌就出门,然后约会过程中不要行为太下头,对比现在喽嗖得大学生,真的可以算是酱味大鸡。 然后先来说一下怎么提升自己: (一)锻炼身材:脸这个东西是父母给的改变不了,但是身材你总可以练吧,把肩练的宽一点,把腰练的细一点,体脂降下来一点,你的成功率就是高于大胃袋。 个人亲测,年初的时候两百多斤,现在一百四左右,不论是在现实搭讪得成功率,还是网上交换照片得成功率,都是几何倍数增长。 所以还有大胃袋得i彭第一步就是减脂!减脂!还是他妈的减脂! 不要想着还有大胃袋就去研究穿搭、造型、医美这些东西。…

❤3

22 Aug 2026, 08:04 UTC≈4,220 views1 reactionsread 30 August 2026
Video

💎红楼阁——高端会所💎 🌟主营-95半套-98全套-98海选 ❤️高端全套大海选 一排一排的选 氛围感拉满 选满意在玩【质量相当于有外围中圈和中大圈】 ✅自家高端95半套店 不冲卡 单次消费 没有隐形消费 高质量 服务有保障 每天在线30➕选满意在消费 有免费小吃 泡澡 凌晨后可留宿 ❤️全城也可以给你安排 高端95半套-98全套 会所宗旨:诚信经营服务至上、让你乘兴而来满意而归 📣狼友评价:@BBmOGY9 📛🫠🫠🫠:@BmOGY9 📛😪🫠🤗:@MBmOGY9 ✈️ : @aofeng567 🤖 : @CDHonglou_bot 😀😃😄😆

❤1

21 Aug 2026, 12:29 UTC≈4,420 views1 reactionsread 30 August 2026

号炸了 新号:@qiand23 新频道:https://t.me/qdbb08

❤1

Showing the 12 most recent of 29 posts we hold for @Qingnianwenzhaipyy. 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

@Qingnianwenzhaipyy edited 1 post 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
22 August 2026
Most recent edit
22 August 2026

Forward network

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.

Mentions

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.

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.

“青年文摘•晏” (@Qingnianwenzhaipyy), 14,675 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Qingnianwenzhaipyy.

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.