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Channel

福田❤️甜心宝贝 开课频道

@tianxin8000

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

1,762subscribers

+298 since we began measuring on 21 October 2026

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

Register entry

Telegram ID-1002989740468
TypeChannel
Username@tianxin8000
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded21 October 2026
Last confirmed live6 November 2026
Measurements held7
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/tianxin8000

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 6 November 2026 and assigned it the closest of 31 fixed categories, at 80% 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 the other topics.

Growth

1,4641,7621,61321 October 2026 — 1,464 subscribers22 October 2026 — 1,532 subscribers25 October 2026 — 1,619 subscribers28 October 2026 — 1,663 subscribers31 October 2026 — 1,690 subscribers3 November 2026 — 1,730 subscribers6 November 2026 — 1,762 subscribers21 October 20266 November 2026
7 measurements spanning 16 days, net +298. 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 1,419–1,807 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Nov 2026, 20:201,762+32
3 Nov 2026, 22:201,730+40
31 Oct 2026, 19:511,690+27
28 Oct 2026, 21:071,663+44
25 Oct 2026, 20:181,619+87
22 Oct 2026, 13:051,532+68
21 Oct 2026, 18:221,464first reading

Engagement

15 posts held, back to 15 September 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
54.7%
avg views ÷ 1,762 subscribers
Avg views / post
964
6 posts measured
Reaction rate
0.028%
reactions ÷ views · ER floor
Posts in window
6
of 15 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 2 of 6 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 21 October 2026
Posts held15 (15 September 2026 – 21 October 2026)
Views total5,782
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 18:22 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
18s
Average length
9s

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

11 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 81.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤981.8%
👍19.09%
😁19.09%

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 8 of the 15 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 15 September 2026 to 21 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 6 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

21 Oct 2026, 16:50 UTC108 viewsread 21 October 2026

深圳出击风向(繁花)群 验证榜单:@fanhuax 群组:https://t.me/+M2PRHBINX_hjMGMx 优质老师,真实狼友邀请制,与你分享真实的出击见闻

21 Oct 2026, 09:28 UTC552 viewsread 21 October 2026
Photo

姐妹在🉑 双飞 特价 1600 出两次 💋💋💋 尽快哦

21 Oct 2026, 03:11 UTC621 viewsread 21 October 2026

预告 可以双飞哦 有姐妹一起开❤️❤️❤️

10 Oct 2026, 07:45 UTC≈1,870 views1 reactionsread 21 October 2026

明天周日 11号 开😘😘😘想我了吗

❤1

21 Sept 2026, 11:16 UTC≈3,510 views3 reactionsread 21 October 2026
Photo

明天开始休息啦,要来今晚哦,新皮肤到咯😍😍😍

❤3

20 Sept 2026, 10:40 UTC≈2,950 views4 reactionsread 21 October 2026

800群出击报告( https://t.me/freetalkforcat ) 工兵留名:black 出击时间:9.19 老师花名:#甜心 地理位置:#福田 上课支出:800p 颜值身材:真人比照片更好看,s形大胸 服务内容:课表内容都有 出击体验:许久没出击 偶然刷到一位新来的老师 正好还有空 便立即出击 进门第一眼就被惊艳到了 心想 完了 这是我的菜 但还是保持冷静没有暴露太多内心的喜悦 随后脱衣培育 浴室里就想给她按住了 坚持到了床上 等我的王妃换好衣服 实在是忍不住就想给她按在床上 口活儿相当了得 定力不够的兄弟们还是悠着点 口完之后带t开干 这个屁股实在是想用力好好抓 了一下 事后才知道 原来她也喜欢这样被抓 是我收敛了 大意了 水💦是真的多 下面也是真的紧 没两下就出水了 下回一定要返 有种意犹未尽的感觉 优点缺点:约课回复很快,环境安静干净 联系方式:@tianxin600 推荐程度:9/满分10.0分 群收录评级…

❤3👍1

Showing the 12 most recent of 15 posts we hold for @tianxin8000. 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.

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.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“福田❤️甜心宝贝 开课频道” (@tianxin8000), 1,762 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/tianxin8000.

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.