Telegram RegisterThe public register of Telegram
Telegram profile photo for 天使的朋友圈

Channel

天使的朋友圈

@aiwenquan

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

1,050subscribers

+6 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1004334637427
TypeChannel
Username@aiwenquan
Created23 July 2026measured — dated from the channel’s first post
First recorded14 August 2026
Last confirmed live15 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/aiwenquan

Growth

1,0441,0501,04714 Aug 2026, 05:16 — 1,044 subscribers15 Aug 2026, 05:29 — 1,050 subscribers14 Aug 2026, 05:1615 Aug 2026, 05:29
2 measurements spanning 1 day, net +6. 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 1,043–1,051 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 05:291,050+6
14 Aug 2026, 05:161,044first reading

Engagement

12 posts held, back to 23 July 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
13.6%
avg views ÷ 1,050 subscribers
Avg views / post
142
11 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 11 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 14 August 2026
Posts held12 (23 July 202614 August 2026)
Views total1,566
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 05:16 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 4 posts, in 5 distinct kinds. The most used accounts for 27.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍327.3%
🔥327.3%
218.2%
👎218.2%
👏19.09%

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 12 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 12 most recent posts we hold, published 23 July 2026 to 14 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

14 Aug 2026, 02:40 UTC64 viewsread 14 August 2026

收单了兄弟们 @ainichadang 全家户籍/监护人 文全地址 单头全户 马上发车

13 Aug 2026, 17:20 UTC130 viewsread 14 August 2026

💧和大家说声抱歉!由于散户消息已经看不过来了 特邀商家 爱你查档 全天在线查询 该商家已真实上押😀🥹🥹😁 放心查询 出事包赔! 频道ID: @GJAQJ (国家安全局) 商户ID: @ainichadang 双向ID: @SGK9_bot

13 Aug 2026, 16:20 UTC139 viewsread 14 August 2026

@RoseShopRoBot 24h自助机器人查询机器人 🚨🚨🚨🚨🚨🚨🚨🚨🚨 假地址个人户籍(9.00-19.30) 真地址个人户籍 (全天开放) 文字版婚姻记录(全天开放) 电信机主名字 (全天开放) 电信机主生日 (全天开放) 联通机主信息 (全天开放) 支持OKPAY/人民币充值 😀🅱️🛑⭕️🅱️❌🉐🈶🈶😀

13 Aug 2026, 13:13 UTC154 views5 reactionsread 14 August 2026
Photo

文全/监护人/代理 青铜❤️❤️❤️ 拿货价:文全❤️❤️ 拿货价:监护人❤️❤️ 白银❤️❤️❤️ 拿货价:文全❤️❤️ 拿货价:监护人❤️❤️ 黄金❤️❤️❤️ 拿货价:文全❤️❤️ 拿货价:监护人❤️❤️ 钻石❤️❤️❤️❤️ 拿货价:文全❤️❤️ 拿货价:监护人❤️❤️ 代理拿货 青铜 文全❤️ 监护人❤️ 犯罪在逃❤️ 白银 文全❤️ 监护人❤️ 犯罪在逃❤️ 黄金 文全❤️ 监护人❤️ 犯罪在逃❤️ 钻石 文全❤️ 监护人❤️ 犯罪在逃❤️

2🔥2👍1

12 Aug 2026, 13:59 UTC217 viewsread 14 August 2026

未成年监护人❤️❤️ 整个Telegram独家业务,全网没有第二家。可以理解为未成年人全家户籍 ------ 必出父/母直系亲属,不是垃圾单名。自带数据库补齐功能,概率出手机号码。 😵提供信息:名字 身份证号 😵出单结果:监护人身份证(带户籍地址) 😵出单时间:全天排队秒出 全网最效率! 联系人 @bot_tian_shi

12 Aug 2026, 13:52 UTC227 viewsread 14 August 2026

数据库历史文字全户😉😉😉 数据库文字全户的意思 就是这个渠道拥有的数据是目前全最最大的人口数据.这份数据目前更新到了2024年。也就是说,这个文全出来的是 22年以前的全户数据(有遗漏)数据保真不保漏 有多少出多少不扯皮,2024年后新增/迁户的数据是没有更新的。也能理解为我这里的文全跟原始户口差不多一个性质 有些单子由于迁户刑侦开不出来父母的 我这里大概率可以开出来父母甚至爷奶等长辈这些 ——— 市面上有些造假的全户就是开这个,然后去开个单头P图,当成刑侦全户卖的,在我这,是什么东西就卖什么东西!绝不弄虚造假,以次充好! ——— 😵提供信息:名字 身份证号 😵出单结果:全家户籍(带户籍地址) 😵出单时间:全天排队秒出 全网最效率! 联系人 @bot_tian_shi

12 Aug 2026, 11:02 UTC215 views4 reactionsread 14 August 2026

vip群老用户联系 @saobifan_bot 免费版不用联系我了 以前vip群报过单的联系我

👍2👏1🔥1

Showing the 12 most recent of 12 posts we hold for @aiwenquan. 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 — 332,508 of 1,481,306entries 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 4 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

“天使的朋友圈” (@aiwenquan), 1,050 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/aiwenquan.

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.