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Channel

秋秋的秘密花园

@jsjdhsgsg

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

3,333subscribers

+2,192 since we began measuring on 20 October 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004330856218
TypeChannel
Username@jsjdhsgsg
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 October 2026
Last confirmed live7 November 2026
Measurements held8
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/jsjdhsgsg

Topic

Other / unclassifiable — 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 4 November 2026 and assigned it the closest of 31 fixed categories, at 44% 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

1,0353,3332,18420 October 2026 — 1,141 subscribers20 October 2026 — 1,145 subscribers23 October 2026 — 1,166 subscribers26 October 2026 — 1,056 subscribers29 October 2026 — 1,035 subscribers1 November 2026 — 1,050 subscribers4 November 2026 — 1,063 subscribers7 November 2026 — 3,333 subscribers20 October 20267 November 2026
8 measurements spanning 19 days, net +2,192. 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 690–3,678 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Nov 2026, 21:473,333+2,270
4 Nov 2026, 08:561,063+13
1 Nov 2026, 08:361,050+15
29 Oct 2026, 15:561,035-21
26 Oct 2026, 07:051,056-110
23 Oct 2026, 00:111,166+21
20 Oct 2026, 07:351,145+4
20 Oct 2026, 05:221,141first reading

Engagement

15 posts held, back to 15 October 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
9.92%
avg views ÷ 3,333 subscribers
Avg views / post
331
15 posts measured
Reaction rate
0.1%
reactions ÷ views · ER floor
Posts in window
15
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 15 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 20 October 2026
Posts held15 (15 October 2026 – 20 October 2026)
Views total4,958
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Oct 2026, 05:22 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 2 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 1 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 October 2026 to 20 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 15 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).

20 Oct 2026, 05:05 UTC27 viewsread 20 October 2026
Photo

#南山秋秋 10月20日荣登深圳学院名师榜👑 ❤️名师榜: @sz520 ❤️聊天群: @sz1314 ❤️ 郑重承诺: 高质量/真老师/真学生/活跃社区,若您在【深圳学院】联系的老师货不对板,被骗定金,群主: @sz333 担保赔付!每月赞助万元出击费🧧 立即加入 👆查看评价

20 Oct 2026, 04:09 UTC95 viewsread 20 October 2026
Photo

广深春朝精品榜单 安得一隅,静待花开。 春朝频道 @ChunZhaoChannel 春朝 t.me/+6GThFatodKpjZjll 联系 @aaa_shenbot 免定群原则只邀请春朝群内部推荐优质自聊老师,学生群申请审核制。

18 Oct 2026, 06:53 UTC387 viewsread 20 October 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】秋秋 【联系方式】 @yyeuehu 【所在位置】广州 【验证留名】阿笑 【验证时间】10.17 【修车费用】3600pp 【颜值身材】10/10 【服务内容】10/10 【服务态度】10/10 【优点缺点】脸好看,人照一致,妹妹还给我点了奶茶补充体力,就是位置有点不太好找,当然这也更私密更安全些 【推荐程度】强烈推荐 【体验细节】从一开始看到脸就直接联系了,十二点多联系的,以为老师已经睡了,还好回了信息,进来以后老师态度特别好,侧脸长得特别像韩国人对得起这个价格,闭眼冲就完事了,老师身材很好,屁股很翘,笑盈盈的很可爱,忍不住的想亲,感谢今晚不一样的体验和放松,等老师下次来广州了一定会再来一次,真的不踩雷 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Chenyaoyao1_bot

17 Oct 2026, 03:58 UTC471 viewsread 20 October 2026
Photo

今天全天P优惠300pp优惠600哥哥们就当福利啦🫴最后两天了 定了19号去深圳的票

16 Oct 2026, 10:03 UTC571 viewsread 20 October 2026
Photo

已经没了哈,哥哥们下次再看我频道拼手速了

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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“秋秋的秘密花园” (@jsjdhsgsg), 3,333 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/jsjdhsgsg.

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.