Telegram RegisterThe public register of Telegram

Channel

闲置物品转手 🔰

@zhuanshou

2 usernames

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

6,702subscribers

-9,647 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002145687579
TypeChannel
Usernames@huishoubao @zhuanshou
Description本频道发布的所有广告信息由合作方提供,仅面向法律允许地区用户,涉及博彩、投资、加密等内容具有高风险,请根据您所在地法律自行判断参与合法性,本频道不承担相关责任,禁止法律限制地区用户参与。 🔘发帖客服: @zongbian 👈 🔘新闻频道: @resou (热搜) 🔘吃瓜一线: @dagua (大瓜) 🔘华人社群: @shequn (社群) 🔘求职跳槽: @tiaocao (跳槽) 🔘好店推荐: @wangdian (旺店) 🔘房屋租售: @fangdichan (房地产)
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held7
On Telegramt.me/zhuanshou

Growth

6,70216,34911,525.57 August 2026 — 16,349 subscribers7 August 2026 — 16,348 subscribers8 August 2026 — 9,481 subscribers11 August 2026 — 6,742 subscribers14 August 2026 — 6,704 subscribers15 August 2026 — 6,702 subscribers15 August 2026 — 6,702 subscribers7 August 202615 August 2026
7 measurements spanning 8 days, net -9,647. 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 5,255–17,796 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 04:456,702no change
15 Aug 2026, 04:346,702-2
14 Aug 2026, 18:576,704-38
11 Aug 2026, 10:446,742-2,739
8 Aug 2026, 15:219,481-6,867
7 Aug 2026, 15:0616,348-1
7 Aug 2026, 03:4816,349first reading

Engagement

164 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.96%
avg views ÷ 6,702 subscribers
Avg views / post
198
105 posts measured
Reaction rate
4.76%
reactions ÷ views · ER floor
Posts in window
164
of 164 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 105 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 15 August 2026
Posts held164 (6 August 202615 August 2026)
Views total20,836
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 04:45 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
50,800
Videos
4,270
Links
12,300

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
19m 25s
Average length
43s

Measured directly from 27 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

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 1 of the 164 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 164 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 04:01 UTC12 viewsread 15 August 2026
Photo

出个闲置品,全新华为手表GT5,买的时候16000P,其他型号手机苹果也支持,没用过未拆封,多买了个 防水,健康检测,测心率,血氧,智能交互(蓝牙通话及NFC公交/电梯门禁卡模拟)独立播放歌曲,续航长达14天 7500P便宜出不墨迹的来 @naiyali 😀😀😀😀😀😀😀😀😀😀 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡ 玩U投,上TG娱乐城 2026美加墨世界杯官方指定投注平台 全网最强福利 最高返利75% 全网上押担保1300万u 业界龙头 网投领导者 首存送 复存送 充值笔笔加赠3% 电子真人0审核0风控包出款 单笔提款百万u秒出 大无忧 额无忧 信誉老台 强力推荐 😀😀😀😀😀😀 😀 投稿客服 📱 资源搜索

15 Aug 2026, 04:00 UTC6 viewsread 15 August 2026
Video

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15 Aug 2026, 03:59 UTC5 viewsread 15 August 2026
Photo

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15 Aug 2026, 03:01 UTC21 viewsread 15 August 2026
Photo

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15 Aug 2026, 03:00 UTC7 viewsread 15 August 2026
Photo

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15 Aug 2026, 02:01 UTC20 viewsread 15 August 2026
Photo

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12 Aug 2026, 02:01 UTC10 viewsread 12 August 2026
Photo

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Showing the 12 most recent of 164 posts we hold for @zhuanshou. 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.

Citation-graph rank

Citation-graph rank — 641,925 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 13 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“闲置物品转手 🔰” (@zhuanshou), 6,702 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/zhuanshou.

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.