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Channel

兰州吃瓜铺

@lanzhouchigua58690

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

1,329subscribers

+34 since we began measuring on 28 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003649771783
TypeChannel
Username@lanzhouchigua58690
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded28 September 2026
Last confirmed live4 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/lanzhouchigua58690

Growth

1,2951,3291,31228 September 2026 — 1,295 subscribers28 September 2026 — 1,295 subscribers4 October 2026 — 1,329 subscribers28 September 20264 October 2026
3 measurements spanning 6 days, net +34. 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 1,290–1,334 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 23:201,329+34
28 Sept 2026, 19:221,295no change
28 Sept 2026, 18:481,295first reading

Engagement

7 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
27.3%
avg views ÷ 1,329 subscribers
Avg views / post
362
7 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
7
of 7 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 28 September 2026
Posts held7 (27 September 2026 – 28 September 2026)
Views total2,536
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 19:22 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.

What this channel posts

Video runtime
31s
Average length
16s

Measured directly from 2 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

28 Sept 2026, 14:23 UTC143 viewsread 28 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7673669497

28 Sept 2026, 14:23 UTC395 viewsread 28 September 2026
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#兰州吃瓜铺 #延时药 滥用延时药的危害 我今年快三十了,助勃药和延时药基本都试过一圈 —— 西地那非、伐地那非、爱地那非、他达那非,口服的达泊西汀,还有各种外用延时喷雾。从 23 岁第一次碰这些东西到现在,踩过的坑不少,身体也付出了代价。今天把这些经历写出来,算是给自己一个交代,也给后来人提个醒。 一切的开始:23 岁的西地那非 说实话,23 岁那年我身体状态很好,常年健身,不吃药正常也能坚持十几分钟,根本用不着这些东西。第一次吃药纯粹是偶然。当时约了一个号称 "专属导游" 的外围,1200 块一次,不限时间。这笔钱对刚工作的我来说不是小数目,满脑子就一个念头:不能亏,得撑够本。去药店买别的药时,门口正好竖着 "伟哥" 的广告牌。我问店员这药是不是真管用,对方点头。不好意思在店里买,回家上淘宝搜了万艾可,150 块一盒下了单。周末赴约前一小时,空腹吞了一片。西地那非最好提前半小时到一小时吃,空腹吸收…

28 Sept 2026, 13:26 UTC460 viewsread 28 September 2026
Photo

#兰州吃瓜铺 #长沙瓜 长沙一位老师,在短短的3个月内,先后卷入三起性质截然不同的事件:交通事故入院、双飞被摁、遭到QJ,堪比中彩票一等奖。三起事件各自存在说法与疑点,就让大鱼来带大家一探究竟。 事件一:ICU疑云—交通事故中的责任谜团 26年6月中旬某日,老师骑电动车出行时,被一辆对面驶来的摩托车撞飞,据老师所说,摩托车驾驶者涉嫌醉驾,于次日死亡,而老师本人住进了ICU,并于7~10天左右出院。 疑点: 1、住院时长存疑,仅仅用了7~10天就 出院,恢复速度这么快? 2、老师说曾向对方索赔,但得到的说法是肇事者当场死亡,甚至对方家属反过来提出要向她索赔。事故责任如何认定、赔偿关系如何划分,目前缺乏官方文书佐证。 事件二:双飞谜团-被摁之后的处罚差异 据老师自述,她和另外一位老师小A在铁木岭和狼友双飞,随后被摁。 结果: 1、老师本人在24小时之后释放,没收1.2万元…

28 Sept 2026, 11:17 UTC401 viewsread 28 September 2026
Photo

#兰州吃瓜铺 #扫街 #长沙 投稿联系:兰州瓜铺投稿机器人 兰州出击认准:兰州炮兵团 西宁出击认准:西宁炮兵团

27 Sept 2026, 11:52 UTC434 viewsread 28 September 2026
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#兰州吃瓜铺 #长沙瓜 #老瓜 长沙有位老师明确表示:超过30岁别来上课。有狼友不信邪,跑去私聊询问老师,得到的答复是确实如此。 投稿联系:兰州瓜铺投稿机器人 兰州出击认准:兰州炮兵团 西宁出击认准:西宁炮兵团

27 Sept 2026, 11:04 UTC468 viewsread 28 September 2026
Video

#兰州吃瓜铺 #保安 现在当保安还来得及么 投稿联系:兰州瓜铺投稿机器人 兰州出击认准:兰州炮兵团 西宁出击认准:西宁炮兵团

27 Sept 2026, 07:40 UTC235 viewsread 28 September 2026
Video

#兰州吃瓜铺 #搞笑瓜 对于这种,上去就是一脚 投稿联系:兰州瓜铺投稿机器人 兰州出击认准:兰州炮兵团 西宁出击认准:西宁炮兵团

Showing the 7 most recent of 7 posts we hold for @lanzhouchigua58690. 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

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

“兰州吃瓜铺” (@lanzhouchigua58690), 1,329 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/lanzhouchigua58690.

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.