Telegram RegisterThe public register of Telegram

Channel

摩乐乐人工查档

@molelesgk

On this record: Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

39,631subscribers

-427 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003302078608
TypeChannel
Username@molelesgk
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/molelesgk

Growth

39,63140,05839,844.57 August 2026 — 40,058 subscribers8 August 2026 — 39,980 subscribers9 August 2026 — 39,939 subscribers10 August 2026 — 39,816 subscribers11 August 2026 — 39,733 subscribers12 August 2026 — 39,670 subscribers13 August 2026 — 39,631 subscribers7 August 202613 August 2026
7 measurements spanning 5 days, net -427. 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 39,567–40,122 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:3439,631-39
12 Aug 2026, 06:3239,670-63
11 Aug 2026, 07:5539,733-83
10 Aug 2026, 10:5739,816-123
9 Aug 2026, 08:2139,939-41
8 Aug 2026, 11:0839,980-78
7 Aug 2026, 19:4640,058first reading

Engagement

6 posts held, back to 3 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.43%
avg views ÷ 39,631 subscribers
Avg views / post
1,760
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 6 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 7 August 2026
Posts held6 (3 July 20267 August 2026)
Views total5,270
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 00:39 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
83
Links
27

Lifetime counters from Telegram’s own channel header, read 14 August 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.

Recent posts

7 Aug 2026, 05:24 UTC≈1,850 viewsread 14 August 2026
Photo

抖音全系列自助报单机器人 抖反手机号最低价格 😀.😀😀 公网抖音一年评论最低价格 😀😀😀 公网抖音关联人最低价格 😀😀😀 手机号反抖音号最低价格 😀😀😀 机器人用户名 @douyinyewubot 频道用户名 @doufan (抖反) 本机器人拥有抖音的全系列源头渠道对接,价格最优势,速度最快,回单最稳!有量代理有专属价格 报单内容全程加密不会保存以及泄露,保障用户信息绝对的信息安全!

5 Aug 2026, 07:15 UTC≈1,220 viewsread 14 August 2026
Photo

大哥牛逼!上来就是两单定位不解释,出单时间无敌!一两分钟就秒出!祝哥们能够抓到他,微反/定位/流水/开房/轨迹/飞火和各类业务稳定出单!来单来单 8P社工库官方人工查档,真源头查询,一个品质、服务和价格都优质的查档机构! ========================= 😂唯一官方客服:@SGK8PKEFU 😂+86用户无法私聊:@SGK8PSX 😂支持的付款方式:😀😀😂 👉 点我查看综合价格表 👈 ========================== 「8P社工库官方查档」我们的服务宗旨: ✅①安全、诚信的原则 ✅②专业、快捷的服务 ✅③顾客是上帝的理念 给客户最快的效率、资金最安全的保障,相信时间能证明一切。 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 🤣重金寻内部人员合作😀😀😀😀 公安.刑侦.经侦.交警.云搜.反诈.民政.运营商.等有权限部门,都可以联系我合作共赢 权限高只要你不懒,半周清空房贷车

22 Jul 2026, 16:15 UTC≈2,200 viewsread 14 August 2026
Photo

最近比较忙没空发反馈,今天发两个老客户的,人工查档一直在,机器人马上再会! 摩乐乐社工库官方人工查档,真源头查询,一个品质、服务和价格都优质的查档机构! ========================= 😂唯一官方客服:@MOLELEKEFU 😂+86用户无法私聊:@MLLSXBOT 😂支持的付款方式:😀😀😂 👉 点我查看综合价格表 👈 ========================== 「摩乐乐官方查档」我们的服务宗旨: ✅①安全、诚信的原则 ✅②专业、快捷的服务 ✅③顾客是上帝的理念 给客户最快的效率、资金最安全的保障,相信时间能证明一切。 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 🤣重金寻内部人员合作😀😀😀😀 公安.刑侦.经侦.交警.云搜.反诈.民政.运营商.等有权限部门,都可以联系我合作共赢 权限高只要你不懒,半周清空房贷车贷,半月提新车新房。 有认识的朋友也可以推荐来做,你可以当中间商赚取

8 Jul 2026, 04:23 UTC≈2,510 viewsread 14 August 2026
Photo

分享今日出单结果,老客户回购很多!微反/定位/流水/开房/轨迹/飞火和各类业务稳定出单!来单来单 摩乐乐社工库官方人工查档,真源头查询,一个品质、服务和价格都优质的查档机构! ========================= 😂唯一官方客服:@MOLELEKEFU 😂+86用户无法私聊:@MLLSXBOT 😂支持的付款方式:😀😀😂 👉 点我查看综合价格表 👈 ========================== 「摩乐乐官方查档」我们的服务宗旨: ✅①安全、诚信的原则 ✅②专业、快捷的服务 ✅③顾客是上帝的理念 给客户最快的效率、资金最安全的保障,相信时间能证明一切。 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 🤣重金寻内部人员合作😀😀😀😀 公安.刑侦.经侦.交警.云搜.反诈.民政.运营商.等有权限部门,都可以联系我合作共赢 权限高只要你不懒,半周清空房贷车贷,半月提新车新房。 有认识的朋友也可以推荐来

6 Jul 2026, 23:11 UTC≈2,180 viewsread 14 August 2026
Photo

很久没有发反馈了,现在发一发,我们一直在!机器人恢复进度已经快了,我们预计恢复后全服免费不消耗积分一周,在这期间人工查档不停机营业!!流水,定位,轨迹,开房来单来单 摩乐乐社工库官方人工查档,真源头查询,一个品质、服务和价格都优质的查档机构! ========================= 😂唯一官方客服:@MOLELEKEFU 😂+86用户无法私聊:@MLLSXBOT 😂支持的付款方式:😀😀😂 👉 点我查看综合价格表 👈 ========================== 「摩乐乐官方查档」我们的服务宗旨: ✅①安全、诚信的原则 ✅②专业、快捷的服务 ✅③顾客是上帝的理念 给客户最快的效率、资金最安全的保障,相信时间能证明一切。 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 🤣重金寻内部人员合作😀😀😀😀 公安.刑侦.经侦.交警.云搜.反诈.民政.运营商.等有权限部门,都可以联系我合作共赢 权限高只要

3 Jul 2026, 09:37 UTC≈3,270 viewsread 14 August 2026

客服Telegram收消息不弹通知,回复信息刚刚慢了点,可能是bug,现在用电脑登录了已恢复正常!

Showing the 6 most recent of 6 posts we hold for @molelesgk. 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.

Posts edited after publishing

@molelesgk edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 311,860 of 1,336,469entries 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.

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

“摩乐乐人工查档” (@molelesgk), 39,631 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/molelesgk.

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.