Telegram RegisterThe public register of Telegram
Telegram profile photo for 中山公开资源

Channel

中山公开资源

@Knew668

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

56,654subscribers

+1,682 since we began measuring on 3 October 2026

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

Register entry

Telegram ID-1002113679852
TypeChannel
Username@Knew668
Description交流 :https://t.me/Becasei
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 October 2026
Last confirmed live7 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 October 2026
On Telegramt.me/Knew668

Growth

54,97256,65455,8133 October 2026 — 54,972 subscribers3 October 2026 — 54,972 subscribers7 October 2026 — 56,654 subscribers3 October 20267 October 2026
3 measurements spanning 4 days, net +1,682. 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 54,720–56,906 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Oct 2026, 09:0056,654+1,682
3 Oct 2026, 12:2254,972no change
3 Oct 2026, 11:4754,972first reading

Engagement

5 posts held, back to 27 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 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.91%
avg views ÷ 56,654 subscribers
Avg views / post
2,780
5 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
5
of 5 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 4 of 5 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 5 October 2026
Posts held5 (27 September 2026 – 5 October 2026)
Views total13,920
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 13:06 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
760
Videos
116
Links
166

Lifetime counters from Telegram’s own channel header, read 8 October 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
30s
Average length
10s

Measured directly from 3 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

9 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤777.8%
👎222.2%

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 4 of the 5 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 27 September 2026 to 5 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

5 Oct 2026, 10:36 UTC≈1,840 views2 reactionsread 8 October 2026
Photo

😁😀😃😄 😃😀😃😀😃 中山 全区 ,酒店公寓模式,环境优美,佳丽多多!服务一流!欢迎各位老板来品鉴! 快餐 一次 : 300 服务洗吹做一次: 400 服务洗吹做两次: 700 客服: @zs98dd 双向: @Zskcgdkefu1bot 频道: https://t.me/zsqqkc

👎2

2 Oct 2026, 15:24 UTC≈3,040 views2 reactionsread 8 October 2026
Photo

艺名:玉玉。地址:中山 古镇 年纪:18岁 身高:172 体重:44kg 胸围:B 尽量用现金哟 🚗:🉑外出需要报销车费哟 外出2p起 服务:无套吹 鸳鸯浴 水🐍吞🥚 高山流水 指滑漫游 丝袜制服 69。舌吻💋。水中萧 胸推臀推 女友体验 😘👍 1:700/P时间40分钟 2:1200/PP时间90分钟 🈲:磕💊 偷拍📷 后🚪 狐臭 皮肤病 无套 醉酒 预约账号: @yuyu5428 双向禁言:@xmab118574_bot 频道:https://t.me/xmalb2828 ◦

❤2

1 Oct 2026, 15:54 UTC≈2,570 views1 reactionsread 8 October 2026
Photo

艺名:知意 位置:东区 私聊: @zhiyi5688 双向: @zhiyi5688_bot 频道: https://t.me/zhhh8869

❤1

29 Sept 2026, 10:45 UTC≈3,310 viewsread 8 October 2026
Photo

艺名:#密宝 位置:#中山坦洲 私聊: @okkffe 频道: https://t.me/oktrrd

27 Sept 2026, 12:54 UTC≈3,160 views4 reactionsread 5 October 2026
Video

①佛山 禅城: #南庄94会所 #祖庙94会所 #张槎94会所 南海: #大沥94会所 #狮山94会所 #里水94会 #桂城94会所 #罗村94会所 顺德: #容桂94会所 #大良94会所 #龙江94会所 #北滘94会所 #杏坛94会所 三水: #西南94会所 #乐平94会所 高明: #荷城94会所 ②中山 #小榄94会所 #东升94会所 #古镇94会所 #西区94会所 #石岐94会所 #港口94会所 #南朗94会所 #坦洲94会所 ③珠海 #香洲94会所 重点海选➕水床 ④广州 #海珠区94会所 #天河区94会所 #白云94会所 #番禺94会所 注意:部分地区也在陆续开店中,详情请联系客服,为了您的宝贵时间,过去之前记得提前找我预约,没有预约是不接待的,同时也不知道是否营业,感谢理解 本人只营业94会所 禁问958 谢谢 唯一客服:@yxy8090 双向🤖请点:@yxy8090_bot 选妃频道:https://t.me…

❤4

Showing the 5 most recent of 5 posts we hold for @Knew668. 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

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

“中山公开资源” (@Knew668), 56,654 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/Knew668.

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.