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Channel

TV·听风 见你

@tv_report_channel

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

185subscribers

-3 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003299929139
TypeChannel
Username@tv_report_channel
CreatedBetween 1 November 2025 and 9 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/tv_report_channel

Growth

185188186.58 August 2026 — 188 subscribers8 August 2026 — 188 subscribers16 August 2026 — 185 subscribers8 August 202616 August 2026
3 measurements spanning 8 days, net -3. 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 185–188 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:07185-3
8 Aug 2026, 12:04188no change
8 Aug 2026, 11:04188first reading

Engagement

16 posts held, back to 9 November 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
no view readings in window
Avg views / post
no view readings
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 16 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 19 July 2026
Posts held16 (9 November 202519 July 2026)
Views total
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:04 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
36s
Average length
5s

Measured directly from 8 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

16 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 81.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1381.3%
👍318.8%

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 9 of the 16 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 9 November 2025 to 19 July 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

17 May 2026, 09:04 UTC726 views1 reactionsread 8 August 2026
Photo

🍂 邂逅(1刷 )· #依依 @h55892 2026-05-17 1000P(工兵500) 🏆 :🌟🌟🌟🌟🌟【#看缘分】 颜 · 值:人照九分,颜值高 身 · 材:B杯,小麦色皮肤不白,大长腿 情 · 绪:很健谈,女友感不够 👉 回溯:暂无 掠影 老师是舞蹈老师,约课需要对齐时间,很幸运正好双方都有空。来到老师工作室,开门见到老师和频道照片一致,交了水费。因为是头课老师已经洗了,我就自己去洗了。 来到床上,老师仔细用湿巾仔细再擦一遍小兄弟,开始三点口。口的稍微有点齿感,老师对我说不好意思不是很会,我说没关系看得出来是新人。 随后问我是正面还是后入,我选择传教士。插入的一瞬间感觉很紧,开始抽插。老师反馈很大,水很多,能感觉到明显的收缩。反馈太爽了,看着老师疯狂抓挠床单,下面疯狂收缩,成功123了,依旧没撑到第二个姿势。 总结 新人嫩妹没服务,有kiss无舌吻

1

16 May 2026, 09:13 UTC≈3,030 views1 reactionsread 8 August 2026
Photo

🍂 邂逅(1刷 )· #晴天 @QL91886 2026-05-16 1100P 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:人照九成,颜值嫩妹 身 · 材:c杯有科技,无纹身,翘臀,白虎 情 · 绪:看得出是i人,会努力找话题,事后会主动贴贴抱着,女友感不错 👉 回溯:暂无 掠影 天气晴朗,周六无事,约上晴天老师的课。出发前她贴心地提前通知课室停水,让我洗好澡再来。来到课室开门一身qqny迎接我。小兄弟有点想起立了。 脱掉衣服躺到床上,晴天先是仔细消毒,随后双手在我身上游走,小舌互相打架,口水丰沛。浅浅进攻几个回合后,开始舔我耳朵,带着湿热的鼻息,一路漫游舔遍全身。很自然的过渡到小兄弟,先是温柔地舔着蛋蛋,力道恰到好处,小舌头划过小兄弟,随后一口吃下。这一瞬间我的脑子里就两个字“遭了”。 她的口腔温度极高,又湿又热。 只感觉如倦鸟归巢,一汪暖水裹住冬日寒冷的五

👍1

5 May 2026, 03:21 UTC764 views2 reactionsread 8 August 2026
Video

🍂 邂逅(4刷 )· #冉冉 @ranbao220015 2026-05-04 2400PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 往期复刷:[1刷] [2刷] [3刷] 掠影 美团再次中了白嫖,于是继续选择冉冉。约好时间来到课室,一起来到沙发,享受冉冉的全自动服务,递上打开的漱口水、漱口、递上纸巾擦拭。随后便是吻到天昏地暗,期间两人的手都不安分,在对方身上肆意游走,挑逗着敏感的地方。 来到浴室,享受冉冉的全自动洗浴,浴中继续大蟒蛇。“宝宝要吃一下吗” , “来”。享受了一会水中箫。 回到沙发,继续大蟒蛇。随后三点口,坐在沙发上看着眼前的冉冉,她跪坐在我腿间,眼神带着笑意,先是用柔软的舌尖轻轻舔过顶端,像在品尝什么珍贵的东西。随后低头深深吞没,时而缓慢,时而急促,我摸着她的头发,看着她媚眼如丝地为我服务。 换成女上,一边享受洗面奶一边被冉冉‘桩

2

2 May 2026, 09:38 UTC≈2,830 views4 reactionsread 8 August 2026
Photo

🍂 邂逅(2刷 )· #Tiffany @Tiffany013 2026-05-01 2200PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:(青春靓丽,欧美风辣妹的感觉,妆容精致,为了安全所以不露脸) 身 · 材:(大长腿,C杯,大屁股,健康匀称的美感完全长在审美点上) 情 · 绪:(典型E人,特别会带气氛,聊天完全不冷场,很容易让人放松下来) 👉 回溯:1刷 掠影 得知Tiffany五一还在上海,于是立马约上了尾课。如约来到新工作室门口,就听见一句甜甜的“来啦~”。开门见到的是一身睡衣的Tiffany,“知道是你来所以我就随意点换上睡衣了,怎么样~”。“好看,有点老夫老妻的感觉了”。 进门换好拖鞋简单参观了一下新搬的高级工作室,一起窝在沙发上休息了一会。随后享受了一把帝皇洗浴,“皇上水温怎么样,奴婢来服侍你了” 。“你哪里是奴婢了,分明是我的爱妃”。 来到

4

25 Apr 2026, 13:55 UTC≈1,070 views3 reactionsread 8 August 2026
Photo

🍂 邂逅(1刷 )· #Tiffany @Tiffany013 2026-03-20 2200PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:(第一眼就很抓人,不是那种攻击型的惊艳,越看越好看,笑起来很甜,有点让人不自觉多看几眼的感觉) 身 · 材:(大长腿,C杯,大屁股,健康匀称的美感完全长在审美点上) 情 · 绪:(典型E人,特别会带气氛,聊天完全不冷场,很容易让人放松下来) 👉 回溯:暂无 掠影 到了约定好的时间,老师下楼来接我,电梯门打开的一瞬间,心跳频率就告诉我不虚此行,甜甜的笑容,配上扑面而来的青春气息,一下就把初见的生疏给融化了。她特别大方地挽着我上楼,进屋坐下后,话匣子一下就开了,典型的E人,声音甜甜的,聊天时眼里亮晶晶的,满眼都是笑意。 随后一起去洗澡,细心调节水温,帮洗十分仔细。上床后化身超级大蟒蛇,我去,直接给我吃爽了,越吃时间越长,突然兴起想试试服务老师加

2👍1

7 Apr 2026, 03:14 UTC358 views1 reactionsread 8 August 2026
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🍂 邂逅(3刷 )· #冉冉 @ranbao220015 2026-04-06 2400PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:人照8分,皮肤白很滑,胸口处有纹身 身 · 材:细枝硕果,脂肪胸非常柔软 情 · 绪:女友感十足,全程贴贴,大蟒蛇不停 👉 往期复刷:[1刷] [2刷] 掠影 许久没出击了,千挑万选,选择冉冉。一进课室,冉冉就热情地迎上来。熟悉的沙发,令人窒息的大蟒蛇,还是熟悉的味道。沙发上大蟒蛇调情了好久,小兄弟全程耸立快要顶破帐篷了! 来到浴室,继续舌吻,我要了个水中萧,前两次一直忘了要。太棒了,魅惑的眼神加上多变的技巧,时间也长,我感觉再继续要交代在这了,赶紧喊停。 回到沙发,继续大蟒蛇。随后三点口,坐在沙发上看着蹲在身前忙活,脑子里自动幻视av场景。换到女上,大蟒蛇加女上没两下给我秒了。 中场休息冉冉全程贴贴,手也不老实到处挑逗。于是继续大蟒蛇,疯狂的呼吸吮吸,自然而然的过

1

1 Jan 2026, 07:53 UTC504 views3 reactionsread 8 August 2026
Video

🍂 邂逅(7 刷)· #白清欢 @qinghuan996600 2025-12-31 2000PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:9(人照参考视频) 身 · 材:9(C杯手感好) 情 · 绪:9(健谈,不事不催,如沐春风) 👉 [回溯 · 往事] 浮生 · 掠影 元旦前的夜风带着刺骨的寒意,但推开门的刹那,世界仿佛被按下了静音键。虽然换了新环境,但暖光下那道熟悉的倩影,依旧是冬日里最暖的慰藉。白老师眉眼弯弯,递来拖鞋与茶饮。那一刻,窗外的喧嚣被彻底隔绝,空气中只浮动着她发间淡淡的香气,和那双仿佛会说话的眼睛里流淌出的似水柔情。 浴室里水汽氤氲,她调试水温的背影在雾气中若隐若现,美得像一幅刚晕染开的水墨画。当温热的水流漫过肌肤,指尖划过她如凝脂般的身体,那种比丝绸更细腻的触感让我无法克制心底的悸动。她眼波流转,嘴角噙着一抹羞涩又纵容的笑意,任由我在她完美的曲线上流连。

2👍1

7 Dec 2025, 13:05 UTC460 views1 reactionsread 8 August 2026
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🍂 邂逅(6 刷)· #白清欢 @qinghuan996600 2025-12-07 2000PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:9(人照参考视频) 身 · 材:9(C杯手感好) 情 · 绪:9(健谈,不事不催,如沐春风) 👉 [回溯 · 往事] 浮生 · 掠影 熟悉的温柔乡 身体虽还裹挟着异乡的尘土,心神却早已飞向了那个熟悉的坐标。手里提着那杯约定的奶茶,像是握着一张通往温柔乡的入场券,沉甸甸的,也是暖热的。 轻车熟路,推开那扇熟悉的房门。奶茶放下,像是某种交接仪式的信物。老师递来的拖鞋总是一次性的,这种细节让人安心。宽衣解带,并没有太多废话,直接与白老师共赴浴室。 淋浴不仅是洗去风尘,更像是某种开关。温热的水流顺着脊背淌下,而比水流更温柔的,是白老师的水中萧。那是一种细腻的吞吐,在封闭的雾气中,感官被无限放大。

1

30 Nov 2025, 07:46 UTC372 viewsread 8 August 2026
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🍂 邂逅(5 刷)· #白清欢 @qinghuan996600 2025-11-29 2000PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:9(人照参考视频) 身 · 材:9(C杯手感好) 情 · 绪:9(健谈,不事不催,如沐春风) 👉 [回溯 · 往事] 浮生 · 掠影 周一就要启程远行了。原本只是抱着试探的心情问问。未曾想,两个小时后竟然等来了消息。当屏幕终于跳出回复的那一刻,多巴胺在脑海里炸开,那种失而复得的欢愉,甚至比即将到来的见面更让人微醺。 立马约下时间,奔赴那个熟悉的避风港。 推开门,世界仿佛瞬间被隔绝在外。她递来一次性拖鞋,动作依然那么细致,像是某种无声的仪式,宣告着我已从纷扰的世俗回到了这方温柔的领地。水流声起,热气氤氲。不仅仅是身体的擦洗,更像是灵魂的濯垢。在那温热的水波里,说说笑笑间,所有的紧绷都化开了。还有那熟悉的、水中的温存,呼吸与水汽交织,那一刻,我甘愿做一条溺水的鱼。 擦干身体

23 Nov 2025, 13:33 UTC340 viewsread 8 August 2026
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🍂 邂逅(4 刷)· #秋月 2025-11-02 PP 🏆 :🌟🌟🌟🌟🌟【#必复刷】 颜 · 值:9.5(青春靓丽,越看越好看) 身 · 材:9(C杯,臀部坚挺) 情 · 绪:10(i人福音,女友感十足) 👉 [回溯 · 往事] 浮生 · 掠影 从得知秋月周六返沪的那一刻起,我就忍不住立刻联系她,想抢一堂课。运气爆棚,抢到了头课,于是第四次去见她。 她一开门,我心想:“十多天没见,怎么又更好看了?”却羞得不敢多看。刚进门,就低头忙着放东西、掏水费,像做贼似的。就在这时,她从背后轻轻抱住我,贴耳轻问:“是不是变漂亮了?”我像短路般,只会木讷重复:“好看,好看”。 比起更亲密的事,我更爱抱着秋月发呆。她窝在我怀里,我盯着她忽闪忽闪的眼睛傻笑。她问我怎么了,我不答,只顾沉浸。那份安静的依偎,比任何言语都更叫人沉醉。 时间悄然溜走,我却越坐越舍不得离去。秋月轻松俏皮地逗我笑,仿

Showing the 12 most recent of 16 posts we hold for @tv_report_channel. 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.

Citation-graph rank

Citation-graph rank — 880,988 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 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.

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.

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

“TV·听风 见你” (@tv_report_channel), 185 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/tv_report_channel.

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.