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Channel

昆明骑行榜

@kun8795

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

21,448subscribers

+1,264 since we began measuring on 28 October 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002926233962
TypeChannel
Username@kun8795
Description【唯一管理】: @jigong168bot 【骑行榜】老师频道;https://t.me/kun8795 【骑行大队】交流群: https://t.me/kun8796 【全国公用防骗曝光榜】:https://t.me/bikan888
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 October 2026
Last confirmed live4 November 2026
Measurements held8
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/kun8795

Growth

19,81321,70520,75928 October 2026 — 20,184 subscribers29 October 2026 — 20,089 subscribers30 October 2026 — 19,958 subscribers31 October 2026 — 19,813 subscribers1 November 2026 — 21,705 subscribers2 November 2026 — 21,597 subscribers3 November 2026 — 21,622 subscribers4 November 2026 — 21,448 subscribers21,44828 October 20264 November 2026
8 measurements spanning 6 days, net +1,264. 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 19,529–21,989 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 07:4521,448-174
3 Nov 2026, 08:0821,622+25
2 Nov 2026, 07:1621,597-108
1 Nov 2026, 04:4821,705+1,892
31 Oct 2026, 06:2819,813-145
30 Oct 2026, 09:3619,958-131
29 Oct 2026, 07:0620,089-95
28 Oct 2026, 22:2220,184first reading

Engagement

10 posts held, back to 18 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 5 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.1%
avg views ÷ 21,448 subscribers
Avg views / post
2,370
10 posts measured
Reaction rate
0.025%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 3 of 10 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 3 November 2026
Posts held10 (18 October 2026 – 3 November 2026)
Views total23,722
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 14:39 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
297
Videos
73
Links
23

Lifetime counters from Telegram’s own channel header, read 4 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
12s
Average length
12s

Measured directly from 1 video 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

2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤150.0%
🥰150.0%

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 3 of the 10 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 18 October 2026 to 3 November 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 10 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).

3 Nov 2026, 08:34 UTC392 viewsread 4 November 2026
Photo

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31 Oct 2026, 14:54 UTC≈1,420 viewsread 4 November 2026
Photo

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31 Oct 2026, 06:07 UTC≈1,410 views1 reactionsread 4 November 2026
Video

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🥰1

29 Oct 2026, 08:22 UTC≈2,170 views0 reactionsread 4 November 2026
Photo

🟡昵称: 歆歆 🕐地区:#官渡 🤖双向:@kmzzxc_bot 🚀电报:@kmzzxc 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签:#已验证 最近有人冒充管理,欺骗老师收¥, 找管理可看群公告或点击下方底部按钮。

28 Oct 2026, 12:00 UTC≈2,260 viewsread 4 November 2026
Photo

🎁更多抽奖: https://t.me/cuivd 🎟️ 抽奖标题:安娜福利上车 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系老师 @annan80 🎫 参与条件: 🎫 加入-👠西山安娜👅私密空间 🎫 加入-昆明骑行榜 🎫 加入-昆明骑车大队 🎁 奖品内容: 💰️ 口令红包15 × 1 💰️ 夜课优惠400 × 6 💰️ pp优惠200 × 8 💰️ 一次优惠100 × 10 📅 开奖时间:2026-10-31 15:00自动开奖 👉 参与抽奖链接: https://t.me/cj888999bot?start=join-L179318864883

25 Oct 2026, 12:04 UTC≈2,850 viewsread 4 November 2026

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24 Oct 2026, 04:42 UTC≈3,070 viewsread 4 November 2026
Photo

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22 Oct 2026, 04:12 UTC≈3,400 viewsread 4 November 2026
Photo

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18 Oct 2026, 06:15 UTC≈4,430 views1 reactionsread 4 November 2026
Photo

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❤1

18 Oct 2026, 06:02 UTC≈2,320 viewsread 28 October 2026
Photo

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Showing the 10 most recent of 10 posts we hold for @kun8795. 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 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.

“昆明骑行榜” (@kun8795), 21,448 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/kun8795.

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.