📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 花名: #泡芙 🌐地址: #莲湖区 💧费用:#600p #1100pp 👁验证:#已验证 📣电报: @paofudog 📎标签:#服务 #陪洗 #无口套 #添蛋蛋 #调情 #口💥 #深喉 #水中萧 #69 #轻微sm(标签格式尽量别改,有什么服务请以#xxx添加进去) 狼友提交报告查看报告 私聊 @gfvjhfdvbhhgfbot 上榜私聊 @Chengdouxiantanhuage_bot

Channel
西安教务榜
@Gffghhhhhhg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
22,673subscribers
+735 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003286489790 |
|---|---|
| Type | Channel |
| Username | @Gffghhhhhhg |
| Description | 此频道只有好评,优秀的老师 聊天群 https://t.me/Gffghyfh |
| Created | Between 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Gffghhhhhhg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:13 | 22,673 | +160 |
| 13 Aug 2026, 09:58 | 22,513 | +187 |
| 12 Aug 2026, 06:54 | 22,326 | +65 |
| 11 Aug 2026, 07:31 | 22,261 | +89 |
| 10 Aug 2026, 05:25 | 22,172 | +133 |
| 9 Aug 2026, 05:03 | 22,039 | +89 |
| 8 Aug 2026, 04:03 | 21,950 | +12 |
| 8 Aug 2026, 00:30 | 21,938 | first reading |
Engagement
21 posts held, back to 5 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.17%
- avg views ÷ 22,673 subscribers
- Avg views / post
- 718
- 21 posts measured
- Reaction rate
- 0.215%
- reactions ÷ views · ER floor
- Posts in window
- 21
- of 21 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 7 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 21 (5 August 2026 – 14 August 2026) |
| Views total | 15,070 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 05:24 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
- 499
- Videos
- 99
- Links
- 9
Lifetime counters from Telegram’s own channel header, read 15 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.
- Video runtime
- 1m 23s
- Average length
- 9s
Measured directly from 9 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
14 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 100.0% |
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 7 of the 21 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 5 August 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
#西安 #莲湖区 #未央区 #城西 #城北 【依诺】抓龙筋 🆕个人0️⃣0️⃣后抓龙筋天花板❤️❤️#莲湖区 #未央区 可上门欢迎预约哦 #前列腺高潮 #龟责潮喷 #抓龙筋 #丝足 #胸推 📣项目内容:有专业抓龙筋,前列腺按摩,体验前列腺高潮,丝足!胸推!助浴!柔式魅惑!海绵体修复通过穴位!刺激!疏通排jing通道!冠状沟刺激!延长时间!增加硬度!改善X生活质量!等 👉服务很细致!注重服务!效果!细节 🤑如有需要可以询问课表! 👉 正统技艺:源自泰国传统理筋技法,融合古法经络理论 😧针对人群:久坐办公、熬夜加班、腰膝酸软、运动劳损、早泄、X生活不协调等 💕环境保障:小区独立教室、私密性强、无推销、无隐形消费、环境干净舒适,温馨安静,用品均为一次性 核心作用:放松深层肌群、改善循环、缓解疲劳、提升睡眠质量,达到身心全然放松理疗于一体,期待你的体验💗💗 🥘🥘🥘🥘🥘🥘🥘🥘🥘🥘🥘🥘🥘 西郊…
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 花名: #娜娜 🌐地址: #未央区 💧费用:#400 #600 👁验证:#已验证 📣电报: @xann258 📎标签:#吸气#过水#吞珠#漫游#胸推 #胸滑#指划#调情#鼻吸#4T 乳胶 #毛扫#躺抱#互口#环抱 #陪洗 #无口套 #添蛋蛋 #调情 #口💥(标签格式尽量别改,有什么服务请以#xxx添加进去) 狼友提交报告查看报告 私聊 @gfvjhfdvbhhgfbot 上榜私聊 @Chengdouxiantanhuage_bot
❤4
📊 6条车评,综合评分8.51 好评 83.3% |人照 8.17 |服务 8.17 中评 16.7% |颜值 8.12 |态度 9.22 差评 0% |身材 8.87 |环境 8.53 花名: 酒儿 🌐地址: #高新区 💧费用:#600p #1000pp 👁验证:#已验证 📣电报: @Jiur123 📎标签:#服务 #陪洗 #无口套 #添蛋蛋 #调情 #口💥舌吻#戴套爱爱 狼友提交报告查看报告 私聊 @gfvjhfdvbhhgfbot 上榜私聊 @Chengdouxiantanhuage_bot
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 西安外围上门: 全城外卖资源,兼职,良家,少妇,学妹,御姐,大胸,白虎,实时更新安排,❌拒绝假冒,100%负责到底 感谢您的选择,保证每位大哥的喜好和服务体验严选优质资源 频道里所更新的资源都是经过体检、验证、靠谱 、安全才推出 客服一对一详细介绍,真实可靠,请各位大哥放心选择。 外围频道: https://t.me/qcxacd9898 西安外围客服:@aduottz 啊朵双向机器人🤖️:@aduottz_bot
白天13:30到晚上3:00小红林口爆店开门9个技师00后18岁到20岁预约249口爆十服务23分钟,349,打炮做爱加上服务,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-https://t.me/AYD789789 关注群-https://t.me/ADBC8888
📊 1条车评,综合评分9.25 好评 100% |人照 8.5 |服务 10 中评 0% |颜值 9 |态度 10 差评 0% |身材 9.5 |环境 8.5 花名: #甜甜 🌐地址: #雁塔区 💧费用:#500p #800pp 👁验证:#已验证 📣电报: @hvtfh93514 📎标签:#服务 #接吻 #无口套 #观音坐莲 #调情 #激情爱爱#丝袜# 狼友提交报告查看报告 私聊 @gfvjhfdvbhhgfbot 上榜私聊 @Chengdouxiantanhuage_bot
婉仪老师:@hjx699 12号到19号优惠一张
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 花名: #丫头 🌐地址: #高新区 💧费用:#600p #1000pp 👁验证:#已验证 📣电报: @yatou02901 📎标签:#服务 #陪洗 #无口套 #添蛋蛋 #调情 #口💥(标签格式尽量别改,有什么服务请以#xxx添加进去) 狼友提交报告查看报告 私聊 @gfvjhfdvbhhgfbot 上榜私聊 @Chengdouxiantanhuage_bot
呆呆老师新人开课 12号到15号优惠一张 注意:此活动与抽奖活动不进行叠加
🎰 呆呆老师200优惠券 📮 参与条件: 🪪 必须设置用户名 🎫 加入-呆呆的后花园 🎫 加入-西安教务榜 🎫 加入-西安报告榜 🎫 加入-西安探花阁(修车交流) └ 🎟️ 发言数大于 20 条 🎁 奖品内容: 💰️ 100优惠券 × 3 💰️ 18.8现金红包 × 1 💰️ 200优惠券 × 2 ⚠️ 抽奖说明: 中奖请在24小时内联系老师进行兑换 使用期限:五天内有效 (可以跟老师协商具体时间跟期限) 所有解释权归西安探花阁所有 兑奖前请提前截图发给老师进行兑换 兑奖联系:@daidaidepyq 📅 开奖日期:(北京时间) 2026年08月15日 12时00分00秒
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 花名: # 呆呆 🌐地址: # 高新区 💧费用:#600p #1000pp 👁验证:#已验证 📣电报: @daidaidepyq 📎标签:#服务 #陪洗 #无套口 #调情 #69 #🐍吻 #丝袜 #配合各种姿势 狼友提交报告查看报告 私聊 @gfvjhfdvbhhgfbot 上榜私聊 @Chengdouxiantanhuage_bot
❤1
Showing the 12 most recent of 21 posts we hold for @Gffghhhhhhg. 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 — 197,266 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.
Mentions
Named by 7 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“西安教务榜” (@Gffghhhhhhg), 22,673 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Gffghhhhhhg.
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.