Telegram RegisterThe public register of Telegram
Telegram profile photo for 贵阳避坑曝光频道

Channel

贵阳避坑曝光频道

@gyhmdpd

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

341subscribers

+2 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003778551505
TypeChannel
Username@gyhmdpd
Created1 April 2026measured — dated from the channel’s first post
First recorded14 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/gyhmdpd

Growth

33934134014 Aug 2026, 19:25 — 339 subscribers14 Aug 2026, 19:31 — 339 subscribers15 Aug 2026, 12:35 — 341 subscribers14 Aug 2026, 19:2515 Aug 2026, 12:35
3 measurements taken within a single day, net +2. 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 339–341 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 12:35341+2
14 Aug 2026, 19:31339no change
14 Aug 2026, 19:25339first reading

Engagement

10 posts held, back to 1 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
274.2%
avg views ÷ 341 subscribers
Avg views / post
935
1 post measured
Reaction rate
0.214%
reactions ÷ views · ER floor
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 July 2026
Posts held10 (1 April 202617 July 2026)
Views total935
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 19:31 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.

Reaction mix

11 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11100.0%

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 6 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 11reactions 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 1 April 2026 to 17 July 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

17 Jul 2026, 11:28 UTC935 views2 reactionsread 14 August 2026
Photo

#群友投稿 说好的90分钟,只有30分钟,除了做没有任何服务,额外服务另收钱,客服只说下次给我优惠 介绍的和做的不一样,中途要加钱! #花果园r1区9栋 避雷

2

24 Jun 2026, 09:21 UTC≈1,290 viewsread 14 August 2026

《防骗指南-裸聊诈骗,俗称跳蛋党》 例如:老公长期不在,找个人聊天 老公出差,求聊骚,夜深睡不着 素质的来,等等关键词! 1.勾引私聊。 2.把你转移至QQ.以开视频为借口,指挥你下载APP来控制体内跳蛋,或者直播观看她洗澡之类的借口。 3.APP下载完成,授权打开,你的隐私一览无遗,盗取你通讯录,照片等等个人信息对你进去敲诈!! 💔总结:不在电报里聊,喊你加微信或者QQ的聊,多半有问题。为什么这么说呢,大家都知道QQ微信封号严重,真正的楼凤,巴不得就在电报把事情解决了,尽量减少QQ微信的封号风险,他却专门反其道而行之,多半有鬼。

24 Jun 2026, 09:21 UTC≈1,260 views4 reactionsread 14 August 2026
Photo

【提防诈骗】Telegram用户防骗手册 ———————如果你在电报上收到一条陌生私信,它99%是个骗子 在Telegram上进行交流和信息获取时,安全是首要的。我们特此编写了一份防骗指南,以帮助你避免可能的网络诈骗。 隐私设置:我们强烈建议你在Telegram的隐私设置中将手机号码设为所有人不可见,并在添加新好友时取消勾选“分享我的电话号码”,以防止个人信息泄露。 信息来源验证:请注意,有人可能会冒充你的亲友,通过仿造他们的头像和昵称来进行诈骗。在转账或分享重要信息前,务必确认对方的身份。 保护个人信息:请不要向他人透露包括密码、银行账号、身份证号等个人敏感信息。 谨慎进行虚拟货币交易:电报上的虚拟货币交易充斥着诈骗行为,尤其是买卖黑U的交易,你需要保持高度警惕。 谨慎点击文件:请谨慎对待电报上的文件,避免点击可能含有木马病毒的文件,特别是中文包和汉化电报的文件全是病毒。 避免频繁私信:过于频繁地发送私信可能会

4

24 Jun 2026, 09:20 UTC965 views0 reactionsread 14 August 2026
Photo

#裸聊诈骗 重发经典老套路,不要裸聊,哪个漂亮的女的会无聊到跟你裸聊呢?尤其刚加上没几天的?现实里人家的舔狗消息都回复不过来的会找你玩裸聊吗?

24 Jun 2026, 09:19 UTC941 views1 reactionsread 14 August 2026
Photo

#裸聊诈骗 重发经典老套路,不要裸聊,哪个漂亮的女的会无聊到跟你裸聊呢?尤其刚加上没几天的?现实里人家的舔狗消息都回复不过来的会找你玩裸聊吗?

1

1 Apr 2026, 07:16 UTC≈3,560 views1 reactionsread 14 August 2026
Photo

#贵阳德信村镇银行三楼 先付钱,然后800块日了个飞机杯 投稿: @guanlirenyuanlbot 专注贵阳本地真实避雷,曝光不良商家、消费陷阱、宰客套路,帮你少踩坑、护好钱袋子。

1

1 Apr 2026, 07:10 UTC≈3,680 views3 reactionsread 14 August 2026
Photo

#贵阳观山湖避雷这个,描述和实物不符,800块只是92且套路多喊加钱 #地址在北大资源缤纷广场,店名叫沐和轩SPA

3

1 Apr 2026, 07:07 UTC≈3,310 viewsread 14 August 2026

投稿: @guanlirenyuanlbot 专注贵阳本地真实避雷,曝光不良商家、消费陷阱、宰客套路,帮你少踩坑、护好钱袋子。

Showing the 10 most recent of 10 posts we hold for @gyhmdpd. 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 — 926,969 of 1,481,217entries 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 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“贵阳避坑曝光频道” (@gyhmdpd), 341 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/gyhmdpd.

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.