Telegram RegisterThe public register of Telegram

Channel

白虎-嫩妹-嫩穴🔞

@msandnq

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

164subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003805029968
TypeChannel
Username@msandnq
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/msandnq

Growth

1646 August 2026 — 164 subscribers8 August 2026 — 164 subscribers6 August 20268 August 2026
2 measurements spanning 2 days. 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 163–165 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 16:16164no change
6 Aug 2026, 19:52164first reading

Engagement

7 posts held, back to 8 August 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
2.53%
avg views ÷ 164 subscribers
Avg views / post
4.1
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 8 August 2026
Posts held7 (8 August 20268 August 2026)
Views total29
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 16:16 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.

What this channel posts

Photos
3,860
Videos
10,400
Links
1,580

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Recent posts

Showing the 7 most recent of 7 posts we hold for @msandnq. 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 — 610,577 of 1,189,255entries 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 35 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

皇冠体育 皇冠娱乐 皇冠官网 皇冠代理
@fanyibaoxiazai · 4
2 posts
开元棋牌/华纳赌场/新盛赌场/缅北赌场/腾龙赌场
@xr85111 · 6
2 posts
兰兰 paradox
@CausCoin · 9
1 post
🏆官方速搜Ssou🤝反诈群
@dongnanyaFZ · 133
1 post
国产AV 麻豆糖心 福利姬鉴赏
@fdsfa131 · 6
1 post
酒店偷窥.谜歼.直播-威尼斯-圣淘沙赌场
@HaiT09 · 11
1 post
皇冠招商 皇冠娱乐 亚星招商 亚星娱乐
@huangguan3c · 6
1 post
欧博官方 亚星官方 欧博网址 亚星网址
@huangguandaili11 · 6
1 post
皇冠招商 欧博招商 亚星招商 利博招商
@jfnfkkccd · 6
1 post
墨镜先生
@Mr_sunglass · 123
1 post
龙虎斗AG真人视讯美女荷官发牌
@myj2017 · 7
1 post
北方集团
@njkg3 · 6
1 post
欧博官方 亚星官方 欧博网址 亚星网址
@ouboguanfang0 · 5
1 post
台灣外送茶🍀北部
@tw6697 · 89
1 post
越南人民报网
@Vietnam_people · 81
1 post
万利平台 PA平台 PA真人 万利真人
@wanliguanwangw · 4
1 post
泰国合法化实体(赌场)
@xiaoyaCN880 · 8
1 post
瑶台·全国城市入口
@YaoTai_277 · 9
1 post
欧博百家乐 亚星百家乐 利博百家乐 线上百家乐
@yaxing11s · 3
1 post
欧博平台 亚星平台 亚星真人 欧博真人
@yaxing1aa · 6
1 post
环球360代理 环球360官网 环球360私网 线上百家乐
@yaxing9988 · 5
1 post
欧博官方 亚星官方 欧博网址 亚星网址
@yaxingff · 5
1 post
欧博假网 利博私网 亚星私网 欧博私网
@zh_cnhdnkjd · 34
1 post
欧博官网 亚星官网 皇冠官网 澳门新葡京
@zh_cnjdiufhf · 4
1 post

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

“白虎-嫩妹-嫩穴🔞” (@msandnq), 164 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/msandnq.

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.