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Channel

小言的后花园

@xiaoyan2026916

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

447subscribers

+103 since we began measuring on 27 October 2026

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

Register entry

Telegram ID-1004499090020
TypeChannel
Username@xiaoyan2026916
Created16 September 2026 — measured — dated from the channel’s first post
First recorded27 October 2026
Last confirmed live4 November 2026
Measurements held3
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/xiaoyan2026916

Growth

344447395.527 October 2026 — 344 subscribers28 October 2026 — 386 subscribers4 November 2026 — 447 subscribers27 October 20264 November 2026
3 measurements spanning 9 days, net +103. 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 329–462 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 23:26447+61
28 Oct 2026, 07:27386+42
27 Oct 2026, 10:22344first reading

Engagement

15 posts held, back to 16 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
39.4%
avg views ÷ 447 subscribers
Avg views / post
176
3 posts measured
Reaction rate
5.38%
reactions ÷ views · ER floor
Posts in window
3
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 1 of 3 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 27 October 2026
Posts held15 (16 September 2026 – 27 October 2026)
Views total528
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 10:22 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
1m 52s
Average length
22s

Measured directly from 5 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

25 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 52.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1352.0%
❤1144.0%
😱14.00%

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 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 25 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 16 September 2026 to 27 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: 0 of 3 posts held from the last 30 days (0%) 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).

9 Oct 2026, 07:18 UTC≈1,680 views2 reactionsread 27 October 2026
Forwarded from @whbgb_3722

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:周密 【日 期】:2026.10.7 【美女昵称】:#小言 【所属频道】: https://t.me/whxsh_985/10958 【地 区】:#洪山区 【见面感觉】:9 【身材曲线】:9 【风情指数】:9 【技术含量】:9 【年 龄】:18 【身 高】:160左右 【凶 器】:d 【肤 色】:正常 【人照相似】:人照10分 【服务内容】:口 做 洗澡 舌吻 【服务过程】:妹子是典型的 bbw ,长相还可以,很有肉感,前凸后翘,屁股大,关键很敏感,奶头揉一下哼一下,感觉揉奶头都能高潮,边抽插边揉奶头,就这样,妹子哼哼唧唧个不停,还挡开我揉奶头的手,最后后入中给了她。 缺点:无。 上榜联系 @whlll_bot 群聊 @whxsh_…

❤2

4 Oct 2026, 10:20 UTC≈2,840 views1 reactionsread 27 October 2026
Video

随后 便是我最爱的秋天

❤1

21 Sept 2026, 06:28 UTC≈4,620 views1 reactionsread 27 October 2026

推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:孙某 【日 期】:2026.9.21 【美女昵称】:#小言 【所属频道】:https://t.me/whxsh_985/10958 【地 区】:#洪山区 【见面感觉】:9 【身材曲线】:10 【风情指数】:10 【技术含量】:10 【年 龄】:18 【身 高】:160左右 【凶 器】:c+ 【肤 色】:正常 【人照相似】:人照10分 【服务内容】:口 做 洗澡 舌吻 【服务过程】:老师颜值很高,人照10分,特别热情!非常温柔,很会聊天。和老师呆在一起,感觉是自己的温顺女友。上楼去找老师,和老师抱在一起,被老师坐在上面很快就出水。换了好几个姿势,每个姿势都感觉到自己的小JJ在踌躇。最后和老师聊聊天走人。强烈推荐兄弟们去试试,老师很好说话人也非常好,18岁非常年轻,物超所值…

❤1

20 Sept 2026, 08:15 UTC≈3,360 views0 reactionsread 27 October 2026
Forwarded from @whbgb_3722

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:Travis King 【日 期】:2026.9.20 【美女昵称】:#小言 【所属频道】:https://t.me/whxsh_985/10958 【地 区】:#洪山区 【见面感觉】:8.8 【身材曲线】:9 【风情指数】:9 【技术含量】:9 【年 龄】:18、9 【身 高】:160左右 【凶 器】:c+ 【肤 色】:正常 【人照相似】:人照9分 【服务内容】:口 做 洗澡 舌吻 【服务过程】:老师皮肤不错,嫩是真的嫩。接下来是🐍,老师的舌头湿滑软糯,值得一品。嫩妹三件套,老师口的很用心、无齿感。做的时候感觉老师比较干,但是紧是真的紧。女上抱着做很有感觉差点出💦。换了老师在下面,可能比较干的原因没舍得太深入,时间就差不多聊了聊洗洗走了 …

20 Sept 2026, 05:34 UTC≈2,650 views0 reactionsread 27 October 2026
Video

恨我一辈子 那跟爱我一辈子有什么区别

17 Sept 2026, 12:52 UTC≈2,940 views1 reactionsread 27 October 2026
Forwarded from @whbgb_3722

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:周密 【日 期】:2026.9.17 【美女昵称】:#小言 【所属频道】: https://t.me/whxsh_985/10958 【地 区】:#洪山区 【见面感觉】:9.5 【身材曲线】:9 【风情指数】:9 【技术含量】:9 【年 龄】:18 【身 高】:160左右 【凶 器】:c+ 【肤 色】:正常 【人照相似】:人照10分 【服务内容】:口 做 洗澡 舌吻 【服务过程】:进门看见穿着jk小小心动了一下。接下来洗澡,照顾二弟很温柔,微微一硬以示尊敬。老师皮肤不错,嫩是真的嫩。接下来是🐍,老师的舌头湿滑软糯,值得一品。嫩妹三件套,老师口的很用心、无齿感。做的时候感觉老师比较干,但是紧是真的紧。女上抱着做很有感觉差点出💦。换了老师在下面,…

❤1

Showing the 12 most recent of 15 posts we hold for @xiaoyan2026916. 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

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

“小言的后花园” (@xiaoyan2026916), 447 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/xiaoyan2026916.

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.