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Channel

深圳福田甜馨🍓 新人开课🍓

@tianxin1683

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

3,138subscribers

-221 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002665729889
TypeChannel
Username@tianxin1683
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live1 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/tianxin1683

Growth

3,1383,3593,248.514 August 2026 — 3,359 subscribers14 August 2026 — 3,359 subscribers16 August 2026 — 3,336 subscribers19 August 2026 — 3,280 subscribers22 August 2026 — 3,253 subscribers25 August 2026 — 3,215 subscribers28 August 2026 — 3,165 subscribers1 September 2026 — 3,138 subscribers14 August 20261 September 2026
8 measurements spanning 17 days, net -221. 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 3,105–3,392 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 02:153,138-27
28 Aug 2026, 14:583,165-50
25 Aug 2026, 20:343,215-38
22 Aug 2026, 21:463,253-27
19 Aug 2026, 15:363,280-56
16 Aug 2026, 05:533,336-23
14 Aug 2026, 19:303,359no change
14 Aug 2026, 19:253,359first reading

Engagement

18 posts held, back to 27 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.81%
avg views ÷ 3,138 subscribers
Avg views / post
214
5 posts measured
Reaction rate
2.43%
reactions ÷ views · ER floor
Posts in window
5
of 18 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 14 August 2026
Posts held18 (27 June 202614 August 2026)
Views total1,069
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 19:30 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.

Reaction mix

110 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 44.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4944.5%
🥰2724.5%
1816.4%
🔥76.36%
👏43.64%
🍌32.73%
💯10.909%
🖕10.909%

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 18 of the 18 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 110 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 27 June 2026 to 14 August 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

12 Aug 2026, 05:54 UTC166 views5 reactionsread 14 August 2026
Forwarded from @sz3661

出击报告:https://t.me/sz3661 验证留名:猪猪侠 上课时间:8.11 老师花名:#甜馨 位置坐标:#福田 上课花费:1300pp 颜值身材: 9.5,人美,身上没赘肉,眼神诱人,身材紧致 服务内容:课表全做 出击体验:地方好找,进出方便,环境不错,人照差不多,是我约过跟照片最像的,不知道做什么项目老师主动说先来一课的,可以改项目,付完茶水费,一起洗澡,两个大胸太诱人了,立马去手,我去,这胸型好挺,手感超好,奶头小小的,洗完,水中萧后,来到床上,一顿拥抱加热吻,开始b面服务,没有任何敷衍很任真,两个大胸晃🉐我春心荡漾,一把搂住老师,老师脸都红了,娇滴滴,丝滑索吻,一路亲吻到胸到肚脐到大腿,到jj,口活不得了,太会了,一下子就给爆口里了,感觉还没尽兴,立马改两课,中途休息搂这老师聊天,很放松,有总莫名的亲近感,差不多继续,老师一个翻身压我身上,还没反应过来,就是狂舔狂亲,刺激感一下子就来了,口得太猛怕忍不住爆了,赶

👍3🥰2

7 Aug 2026, 07:10 UTC347 views7 reactionsread 14 August 2026
Photo

十拿九稳 差你一吻😘

👍32💯1🥰1

6 Aug 2026, 05:50 UTC369 views7 reactionsread 14 August 2026
Forwarded from @keyusj66111

出击报告:https://t.me/keyusj66111 验证留名:陈门 上课时间:8.5 老师花名:#甜馨 位置坐标:#福田 上课花费:800p 颜值身材:长相绝对漂亮,本人更好看,身材胸都超级奈斯, 服务内容:课表 出击体验:见到甜馨第一感觉,兴奋,充血,好喜欢她两颗大雷,白嫩白嫩的,摸着软软弹弹的感觉,瞬间就抱着她来一个大蟒蛇。她的舌头超灵活。好柔软,好喜欢越亲越过瘾,亲的我都受不了了,脱下衣服只想操。老师说洗个澡吧,洗澡的时候,两颗大雷在我面前一晃一晃。我双手抓住。就是猛亲,洗完澡,换上制服特别诱人,别有一番风味,老师口活也可以,没个几分钟,老二忍不住又硬了。继续疯狂接吻。老师鲍鱼也很好吃。摸的她都受不了,宝宝,快点插我,戴上了雨帽。疯狂输出,太爽,太爽了。这次出击真是值得。 优点缺点:奶大且白,很好了,不挑刺 推荐程度:必须💯 联系方式:@tianxin3318

👍3🍌2🥰2

31 Jul 2026, 06:58 UTC592 views8 reactionsread 14 August 2026
Photo

哭包小姐 展信佳❤️

👍3👏21🖕1🥰1

30 Jul 2026, 05:28 UTC616 views7 reactionsread 14 August 2026
Forwarded from @gaoduanwaiweihuiz1

#福田 #甜馨 【修车报告】:https://t.me/gaoduanwaiweihuiz1 【体验细节】:约了好几次,终于等到合适的时间,约上了甜馨的头课。紧赶慢赶遥控上楼,见面后发现本人比照片更美。今天她穿了一身闪闪发亮的紧身裙,完美勾勒出玲珑有致的身材。 话不多说,先去陪洗。衣衫褪尽,完美的身材彻底展露——瘦削却不乏料感,胸抓在手里柔软有致、手感极佳。洗毕回床,先是简单缠绵了一会儿,她依旧十分会挑逗,两人你来我往、渐入佳境。随后她主动凑上来让我吃奶,接着口交、漫游,躺了一会儿我让她转过身,开始品尝那人工白虎——户型精致,令人食指大动。舔了一阵她知道我不太舒服,便主动躺下让我好好品味。尝够了正欲上马,没想到她还没尽兴,只好再让她口交一会儿,好好享受。 回到正戏,先由女上开始。可能是她人比较娇小,起初不太好进,好不容易没入,立刻感受到紧紧的包裹感。接着让她骑乘,等她累了再换成传教士,一边缠绵一边狠力冲刺,最后改成后入加速,

👍3🔥2👏1🥰1

23 Jul 2026, 05:36 UTC781 views7 reactionsread 14 August 2026
Forwarded from @snmnmcvx16811

出击报告 (https://t.me/snmnmcvx16811) 验证留名:杜生 验证时间:7.22 老师花名:#甜馨 城市坐标:#深圳 #福田 上课花费:800p 颜值身材:嫩,漂亮,身材高挑, 服务内容:课表真实 出击体验:一进门老师就穿着情趣内衣欢迎,真人比照片更有气质,有独立课室,课室环境好。交完学费就进入沐浴环节,老师会很仔细的帮洗下面,低头可以看到老师的事业线,别有一番风趣。洗完老师就脱衣上床,一双大白兔就跳了出来,感觉比穿衣时的大了几个码,一只手快要握不住,然后老师就开始口活,技术很高,差点就秒了,最后老师女上摇,不得不说老师的体力是真的好,摇完就进入传教士,最后就在老师温暖的怀里射了出来,老师很温柔,下次还会返食。 优点缺点:嫩妹,热情,性价比高,服务好,健谈 推荐程度:10/满分10.0分;(综合硬件(脸,熊,身材)和软件(服务,态度)等方面打分。自己更看重哪方面,给出打出这个分数的理由) 联系方式:@tia

🔥3👍2🥰2

16 Jul 2026, 05:50 UTC773 views8 reactionsread 14 August 2026
Forwarded from @keyusj66111

出击报告:https://t.me/keyusj66111 验证留名:海鸥 上课时间:7.15 老师花名:#甜馨 位置坐标:#福田 上课花费:800p 颜值身材:颜值可爱型,身材比例很不错 服务内容:服务单上的都有 出击体验:看到甜馨的照片,发现很可爱很合眼缘,就约了甜馨,提前到后直接就联系上楼了,见面的一刻,哇塞,不错,值啊,终于不再是照骗了,终于能吃顿好的了 心里想着哪怕服务不好,颜值都能顶上啊,但事实就是服务也很顶啊,还有🐍跟69,像中了彩票一样开心,舒舒服服的,陪浴啥的都有,性感的身材,是真的很值啊,出了门都想回去搞第二次,奈何朋友催着去吃饭,下次再约! 优点缺点:三点粉嫩,舌吻69也都很配合 推荐程度:非常推荐 联系方式:@tianxin3318

3👍2🥰2👏1

Showing the 12 most recent of 18 posts we hold for @tianxin1683. 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.

Forward network

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

“深圳福田甜馨🍓 新人开课🍓” (@tianxin1683), 3,138 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/tianxin1683.

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.