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Channel

《西安狼友出击指南》

@Faiz_LoveGirls

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

17,625subscribers

+688 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003165226378
TypeChannel
Username@Faiz_LoveGirls
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/Faiz_LoveGirls

Growth

16,93717,62517,2817 August 2026 — 16,937 subscribers7 August 2026 — 16,937 subscribers8 August 2026 — 16,965 subscribers9 August 2026 — 17,013 subscribers10 August 2026 — 17,132 subscribers11 August 2026 — 17,247 subscribers12 August 2026 — 17,333 subscribers13 August 2026 — 17,455 subscribers15 August 2026 — 17,625 subscribers7 August 202615 August 2026
9 measurements spanning 8 days, net +688. 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 16,834–17,728 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 11:4417,625+170
13 Aug 2026, 23:2817,455+122
12 Aug 2026, 17:2217,333+86
11 Aug 2026, 17:0217,247+115
10 Aug 2026, 17:3717,132+119
9 Aug 2026, 14:1617,013+48
8 Aug 2026, 11:1316,965+28
7 Aug 2026, 19:4616,937no change
7 Aug 2026, 19:3516,937first reading

Engagement

5 posts held, back to 7 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 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.2%
avg views ÷ 17,625 subscribers
Avg views / post
1,790
5 posts measured
Reaction rate
0.402%
reactions ÷ views · ER floor
Posts in window
5
of 5 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 held5 (7 August 20267 August 2026)
Views total8,960
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 01:58 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
10s
Average length
10s

Measured directly from 1 video 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

36 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 91.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3391.7%
🐳12.78%
😍12.78%
🥰12.78%

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 5 of the 5 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 7 August 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, 12:50 UTC≈2,050 views19 reactionsread 9 August 2026
Photo

💕本周老师简报8.7💕 (配图UK、茶茶、汐涵、雪儿) 💋进来瞅瞅,福利群组 概述:本周不少好老师回归, 新增好菜不多,高颜值嫩妹不少。 😍UK:@uk029 500P服务型嫩姨(姐姐?)硬件软件都还行,具体看自聊和车评,究极服务车,性价比也很ok。(多个靠谱狼友推荐) 😍茶茶:@chacha52 600P满菜嫩妹,回归老师,回归前评价很好,回归后依旧不错,软硬件都不赖,多了部分纹身,手臂和肩膀,具体看资料和车评,预估T1评级(多个靠谱狼友推荐) 😍莲湖汐涵:@Xihan720888 700P满菜嫩妹,颜值灰常顶级,身材抽条,腺体胸B左右,户型一般,顶级的硬件菜。 但约课很麻烦,罚站几率高,且未在任何榜单,约之前确认好,出发前也请确认好。(本人测评) 😜其他资讯: ✈️顾绵绵(T1)降价到600/P,价格合理,近期评价也不错,很推荐; ✈️ 宋时微和雪儿(两位T0)回归; ✈️小黑妹(T1)复刷依旧很棒。 👊

18🐳1

7 Aug 2026, 12:26 UTC≈1,920 views10 reactionsread 9 August 2026

🌞指南目录(每周五更新): 🥰狼友出击情报站:@FaizLove_Girls —————————————————— ❤️感谢以下赞助(上广告点我): 🥰昭昭会所95/98 @vip87315 🥰城西莲湖元气快餐 @yuanqifast 🥰千叶日式泡泡浴 @qylspy 🥰总经理西安95/98 @aaa000777www 🥰念希私影92/95 @Nianxixiaomi 🥰永兴路极乐园快餐 @Xian3300 🥰花间月私影92/95 @huajianyue8888 🥰小初包养 @chujian90 🥰小红林249 @XiaociBTYY999_bot —————————————————— ❤️楼凤测评 ⭐️丝足测评 🎭美食测评 ✈️ 推荐规则 ➕符号解释 —————————————————— 🍀近期测评: 😍萌萌 🥰小黑妹 🥰菜菜☹️ 🥰呆鱼条

10

7 Aug 2026, 11:29 UTC≈1,780 views4 reactionsread 9 August 2026
Photo

😍小红林口爆店 13:30开到晚上3:00开门 开门9个技师 00后18岁到20岁 249,口爆加服务23分钟 349,爱爱加服务,可以洗澡 今天来了三个学生新人19岁每开门预约私信, @XiaociBTYY999_bot 提前私信预约看到消息第一时间回复 🌷关注频道:@AYD789789 🌷关注群:@ADBC8888

3🥰1

7 Aug 2026, 10:59 UTC≈1,610 views1 reactionsread 9 August 2026
Photo

包养中介乱象丛生,价格战打得飞起,却把最核心的“售后”抛到脑后? 👉人到了发现是“照骗”? 👉钱转过去她不让碰? 👉直接跑路怎么办? 👉中介到底靠不靠谱? 👉介绍费会不会打了水漂? 🥳初见包养 ——彻底告别这些糟心事! 😜全网🙁纠纷记录 😜万人真实交流群,评价看得见、摸得着 😜见面面试期不满意,100%退介绍费 😜包见面、包上床,货不对板包退包换 会员😊😊😊元 首单折扣😊😊😊, 首单介绍费 😊折。 一万出头即可安排颜值少萝伴游同居 3 天。 【初见 · 仲夏特调企划】 凭其他任意包养平台历史消费凭证,经核实,永久入会费直接减半(仅需 333 RMB)。老客引荐新友入席,新客完成首单后,新老双方各赠 1888 元专属抵扣券(直接抵扣下一单,不可叠加其他活动优惠) 😢🤗😳😳:@chujian90 萝莉频道:https://t.me/+Dwvo2Hgqq5Q2MTNl 交流群:@cji888 选妃机器人: @chuj9_bot

😍1

7 Aug 2026, 10:29 UTC≈1,600 views2 reactionsread 9 August 2026
Photo

✅西安·花间月顶级私影女仆✅ 🔘地址:曲江翠华路 欢迎老板来到古城西安解压私影🥪 本店店员都是十八九岁水嫩嫩的💒校女(在校大学生) 二十一二岁性感的💒💕兼职美少女,全部真人不照骗,颜值天花🙈👀不漂亮不心动不收费😘😍🥰年轻有活力,清纯可爱,高挑冷艳,御姐风应有尽有😍欢迎到店选择🫶 ⭕️⭕️⭕️我们的优势⭕️⭕️⭕️ ➡️➡️一直被模仿,从未被超越⬅️⬅️ 环境好❤️‍🩹助教多❤️‍🩹服务好❤️‍🩹人气高❤️‍🩹 🟡🕰营业时间:下午2点 - 凌晨3点 🔸项目一: 499/60分钟 🉑mo🐻,🉑摸🦵,女仆黑丝,原味丝袜🉑带走 🔸项目二:599 /60分钟 亲吻玉足,🉑摸🐻,🉑摸🦵,女仆黑丝,原味丝袜🉑带走,互动调情,🉑🐍💋 , 🉑亲🦵,🉑手撕丝袜 【🉑✋✈️释放】 (零食饮料无限供应 ) 🔸项目三:799 /60分钟 极致热恋女友体验 799/小时,解锁热情恋爱体验,浪漫法

2

Showing the 5 most recent of 5 posts we hold for @Faiz_LoveGirls. 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 — 1,039,613 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 2 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“《西安狼友出击指南》” (@Faiz_LoveGirls), 17,625 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Faiz_LoveGirls.

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.