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Channel

硬乐联合严选榜

@suzhouzhuanbang

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry

33,759subscribers

-3,240 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003579192682
TypeChannel
Username@suzhouzhuanbang
Description乐园x硬了么联合榜单 后续该榜单将在乐园与硬了么同步展示、同步推荐
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/suzhouzhuanbang

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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

33,73737,74935,74333,7597 August 20268 November 2026
62 measurements spanning 93 days, net -3,240. 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 33,135–38,351 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
8 Nov 2026, 09:4633,759+7
7 Nov 2026, 03:0733,752-10
6 Nov 2026, 05:4633,762+4
5 Nov 2026, 01:2133,758+21
4 Nov 2026, 01:2133,737-140
3 Nov 2026, 01:4633,877+4
2 Nov 2026, 00:4633,873+6
1 Nov 2026, 03:1033,867+30
31 Oct 2026, 05:0033,837-78
30 Oct 2026, 05:0633,915-26
29 Oct 2026, 07:0033,941+28
28 Oct 2026, 05:4133,913+29
27 Oct 2026, 06:3033,884-140
26 Oct 2026, 03:1634,024+20
25 Oct 2026, 00:2034,004-85
24 Oct 2026, 01:1934,089+23
23 Oct 2026, 02:1934,066+9
22 Oct 2026, 02:5634,057+23
20 Oct 2026, 18:5034,034+19
19 Oct 2026, 18:4634,015first reading

Engagement

100 posts held, back to 6 August 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 173 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.11%
avg views ÷ 33,759 subscribers
Avg views / post
2,740
24 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
24
of 100 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 8 November 2026
Posts held100 (6 August 2026 – 8 November 2026)
Views total65,740
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 06:43 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

Photos
905
Videos
22
Links
52

Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 34s
Average length
8s

Measured directly from 26 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 24 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).

8 Nov 2026, 08:45 UTC≈1,200 viewsread 9 November 2026
Photo

🙋🏻‍♀️#小雅 📊2条车评,综合评分9 👆(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #姑苏 #8p #14pp #御姐 #包夜 #深喉 #制服诱惑 #冰火两重天 #窃窃私语 #毒龙 #六九 #口爆 #胸推 #过水 #漫游 #陪浴 ✳️ Powered by @szlyq2

7 Nov 2026, 07:03 UTC≈1,730 viewsread 9 November 2026
Photo

🙋🏻‍♀️#cc 📊0条车评,综合评分 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #姑苏 #7p #13pp #嫩妹 #舌吻 #六九 #胸推 #鸳鸯浴 ✳️ Powered by @szlyq2

7 Nov 2026, 07:02 UTC≈1,630 viewsread 9 November 2026
Photo

🙋🏻‍♀️#嘉嘉 📊2条车评,综合评分9.03 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #相城 #6p #11pp #深喉 #六九 #胸推 #指划 #臀推 #水中萧 #漫游 #丝袜诱惑 #包夜 #鸳鸯浴 ✳️ Powered by @SZly_0512

5 Nov 2026, 07:19 UTC≈2,580 viewsread 9 November 2026
Photo

🙋🏻‍♀️#晓晓 📊1条车评,综合评分9.83 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #姑苏 #服务控 #御姐 #400半套 #胸推 #陪浴 #漫游 #毒龙 #口爆 #六九 #水中箫 #臀推 #制服 #半套 ✳️ Powered by @SZly_0512

5 Nov 2026, 04:57 UTC≈2,120 viewsread 8 November 2026
Photo

🙋🏻‍♀️#Miranda 📊2条车评,综合评分9.84 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #园区 #8p #14pp #御姐 #舌吻 #六九 #水中萧 #刮痧 #制服诱惑 #鸳鸯浴 ✳️ Powered by @szlyq2

5 Nov 2026, 04:55 UTC≈1,780 viewsread 7 November 2026
Photo

🙋🏻‍♀️#琪琪 📊1条车评,综合评分9.3 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #姑苏 #5p #9pp #少妇 #水中萧 #舌吻 #六九 #毒龙 #过水 #按摩 #指划 #胸推 #调情 #漫游 #按摩 #冰火两重天 #鸳鸯浴 ✳️ Powered by @SZly_0512

3 Nov 2026, 04:33 UTC≈2,870 viewsread 7 November 2026
Photo

🙋🏻‍♀️#沫沫 📊2条车评,综合评分9.08 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #园区 #5p #9pp #御姐 #鸳鸯浴 #水中萧 #按摩 #吸皮 #过水 #指划 #漫游 #六九 #毒龙 #冰火两重天 ✳️ Powered by @szlsjjlq1

30 Oct 2026, 05:35 UTC≈4,150 viewsread 5 November 2026
Photo

🙋🏻‍♀️#琳宝宝 📊3条车评,综合评分9.8 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #姑苏 #半套 #350p #少妇 #水中萧 #胸推 #臀腿 #过水 #漫游 #六九 #毒龙 #口爆 #制服诱惑 #鸳鸯浴 ✳️ Powered by @szlyq2

28 Oct 2026, 06:36 UTC≈4,420 viewsread 4 November 2026
Photo

🙋🏻‍♀️#林欣萌 📊0条车评,综合评分 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #姑苏 #8p #15pp #嫩妹 #舌吻 #六九 #胸推 #制服诱惑 ✳️ Powered by @szlyq2

28 Oct 2026, 06:34 UTC≈3,680 viewsread 4 November 2026
Photo

🙋🏻‍♀️#思纯 📊4条车评,综合评分8.85 👆(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #园区 #7p #12pp #御姐 #鸳鸯浴 #舌吻 #毒龙 #指划 #调情 #吸皮 #漫游 #舔蛋 ✳️ Powered by @szlyq2

26 Oct 2026, 17:03 UTC≈3,530 viewsread 2 November 2026
Photo

🙋🏻‍♀️#雨珊 📊1条车评,综合评分7.33 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #吴中 #5p #9pp #舌吻 #调情 #观音坐莲 #老汉推车 #六九 ✳️ Powered by @szlyq2

26 Oct 2026, 17:00 UTC≈2,350 viewsread 30 October 2026
Photo

🙋🏻‍♀️#莎莎 📊0条车评,综合评分 👉(点击查看评价) ☎️ 联系方式 电报:点击获取 🏷 分类标签 #相城区 #御姐 #半套 #六九 #毒龙 #臀推 #胸推 #舔蛋 #制服丝袜 ✳️ Powered by @SZly_0512

Showing the 12 most recent of 100 posts we hold for @suzhouzhuanbang. 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.

Posts edited after publishing

@suzhouzhuanbang edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
23 September 2026
Most recent edit
25 September 2026

Mentions

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

“硬乐联合严选榜” (@suzhouzhuanbang), 33,759 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/suzhouzhuanbang.

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.