Telegram RegisterThe public register of Telegram

Channel

(小狐狸)小窝

@Zaloou

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

3,083subscribers

+29 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001577146749
TypeChannel
Username@Zaloou
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Zaloou

Growth

3,0543,0833,068.57 August 2026 — 3,054 subscribers7 August 2026 — 3,055 subscribers10 August 2026 — 3,075 subscribers14 August 2026 — 3,083 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +29. 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 3,050–3,087 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 14:143,083+8
10 Aug 2026, 22:563,075+20
7 Aug 2026, 23:583,055+1
7 Aug 2026, 14:023,054first reading

Engagement

20 posts held, back to 30 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
55.1%
avg views ÷ 3,083 subscribers
Avg views / post
1,700
15 posts measured
Reaction rate
0.068%
reactions ÷ views · ER floor
Posts in window
15
of 20 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 6 of 15 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 7 August 2026
Posts held20 (30 June 20267 August 2026)
Views total25,486
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:00 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
1m 44s
Average length
15s

Measured directly from 7 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.

Reaction mix

15 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1493.3%
🔥16.67%

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 11 of the 20 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 30 June 2026 to 7 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

7 Aug 2026, 03:01 UTC244 viewsread 8 August 2026

宝宝们12点开课,半套和全套p立减100,水墨立减200每天只有3名呦,宝宝们抓紧预约啦😍😍😍

2 Aug 2026, 11:47 UTC≈1,260 viewsread 8 August 2026
Forwarded from @SzcgdPhoto

【时间】:2026-08-02 【老师】:小狐狸 【留名】:NicolasFan1314 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:昨天预约小狐狸,今天早早来了,小狐狸半套牛逼,毒龙和口爆,小狐狸口爆给我身体都爆空啦,我被爆的好爽,太爽啦,下次还来😍😍😍 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

1 Aug 2026, 07:02 UTC≈1,250 views1 reactionsread 8 August 2026
Forwarded from @baogaosuz

#sz849 #小狐狸 【验证留名】: 【验证时间】:8•1 【妹子花名】:小狐狸 【联系方式】:新文化 【联系问题】:https://T.me/gongkaisuz/16022?single 【所在位置】:姑苏区 【修车水费】:800P 【身高身材】:小巧别致 【颜值相似】:9.5 【凶器罩杯】:B 【服务内容】: 早就关注小狐狸老师了,人特别热情开朗,服务好,跟会所一样服务,吸水毒龙绝对,下次还还,狼有们来体验下简直像男人的天堂 【服务详情】:水磨特色+半套 【机车行为】:无 【优点缺点】:水磨+半套 【推荐程度】:9.5 老师链接:https://t.me/gongkaisuz/16022?single 报告链接:https://t.me/baogaosuz 大群链接:https://t.me/szxinwenhua

1

31 Jul 2026, 06:11 UTC≈1,370 viewsread 8 August 2026
Forwarded from @baogaosuz

#sz849 #小狐狸 【验证留名】: 【验证时间】:7.31 【妹子花名】:小狐狸 【联系方式】:新文化 【联系问题】:https://T.me/gongkaisuz/16022?single 【所在位置】:姑苏区 【修车水费】:800P 【身高身材】:小巧可爱 【颜值相似】:8.5 【凶器罩杯】:B 【服务内容】: 水磨服务很有特色,滑滑的肌肤交融。老师身材微胖,人亲切,人照除去美颜就是本人。户型秀气,女上厉害!有一点小肚子。正常肤色。 【服务详情】:水磨特色+半套 【机车行为】:无 【优点缺点】:水磨可以体验,五十分钟老师一直没停过。老师吸皮很厉害!小巧的ly可以体验。 【推荐程度】:8 老师链接:https://t.me/gongkaisuz/16022?single 报告链接:https://t.me/baogaosuz 大群链接:https://t.me/szxinwenhua

26 Jul 2026, 06:17 UTC≈2,260 views2 reactionsread 8 August 2026
Forwarded from @baogaosuz

#sz849 #小狐狸 【验证留名】: 【验证时间】:7.26 【妹子花名】:小狐狸 【联系方式】:新文化 【联系问题】:https://T.me/gongkaisuz/16022?single 【所在位置】:姑苏区 【修车水费】:800P 【身高身材】:小巧可爱 【颜值相似】:9 【凶器罩杯】:B 【服务内容】: 水磨服务好诱惑,早就关注小狐狸老师啦,今天终于看到真人啦,服务细腻,不催,服务好,跟会所一样,值得拥有者 【服务详情】:水磨特色+半套 【机车行为】:无 【优点缺点】:人照一致,服务系 【推荐程度】:9 老师链接:https://t.me/gongkaisuz/16022?single 报告链接:https://t.me/baogaosuz 大群链接:https://t.me/szxinwenhua

2

25 Jul 2026, 06:59 UTC≈2,200 viewsread 8 August 2026
Forwarded from @SzcgdPhoto

【时间】:2026-07-25 【老师】:小狐狸 【留名】:全治聋 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:头天晚上看评论特别推荐,没忍住预约了ls第二天头课,进门ls小小一只,人照8分,进门后听指令开始做水墨,人生新体验,推荐兄弟们一次体验一次。过程不表,老师服务很好,最后123结束,时间正好,让我这种快男体验拉满。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

24 Jul 2026, 07:07 UTC≈2,130 views2 reactionsread 8 August 2026
Forwarded from @baogaosuz

#sz849 #小狐狸 【验证留名】: 【验证时间】:7.24 【妹子花名】:小狐狸 【联系方式】:新文化 【联系问题】:https://T.me/gongkaisuz/16022?single 【所在位置】:姑苏区 【修车水费】:800P 【身高身材】:小巧玲珑 【颜值相似】:9 【凶器罩杯】:B 【服务内容】: 水磨服务很好体验感不错,下次还来,狼友们可以来体验,跟会所服务一样,物超所值, 【服务详情】:水磨特色 【机车行为】:无 【优点缺点】:人照一致,服务系 【推荐程度】:9 老师链接:https://t.me/gongkaisuz/16022?single 报告链接:https://t.me/baogaosuz 大群链接:https://t.me/szxinwenhua

2

Showing the 12 most recent of 20 posts we hold for @Zaloou. 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 — 266,551 of 1,478,351entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 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.

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

“(小狐狸)小窝” (@Zaloou), 3,083 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Zaloou.

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.