Telegram RegisterThe public register of Telegram

Channel

合肥【认证资源】

@hefeirzzy

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

16,462subscribers

+127 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1002499768271
TypeChannel
Username@hefeirzzy
Description合肥公开榜 个人兼职的老师可以联系管理上榜推广。 业务请联系本群唯一群管理员: @vip999w 合肥交流群: @hefeixcly
CreatedBetween 1 December 2024 and 30 April 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/hefeirzzy

Growth

16,32616,46216,39411 August 2026 — 16,335 subscribers11 August 2026 — 16,335 subscribers12 August 2026 — 16,326 subscribers13 August 2026 — 16,374 subscribers14 August 2026 — 16,462 subscribers11 August 202614 August 2026
5 measurements spanning 3 days, net +127. 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 16,306–16,482 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:2816,462+88
13 Aug 2026, 05:5616,374+48
12 Aug 2026, 03:2516,326-9
11 Aug 2026, 17:4516,335no change
11 Aug 2026, 17:3116,335first reading

Engagement

7 posts held, back to 25 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 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.64%
avg views ÷ 16,462 subscribers
Avg views / post
1,590
7 posts measured
Reaction rate
0.18%
reactions ÷ views · ER floor
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 11 August 2026
Posts held7 (25 July 202611 August 2026)
Views total11,103
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 03:59 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
605
Videos
74
Links
32

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
7s
Average length
7s

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

20 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥840.0%
735.0%
👍420.0%
🥰15.00%

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 7 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 25 July 2026 to 11 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

11 Aug 2026, 06:24 UTC783 views1 reactionsread 15 August 2026
Photo

😛 名称:#桃子 📍 地区:#合肥 #蜀山 💰 价格:#7P #13PP 😒 认证:#个人老师 ✈️ 联系:@jiaxinne 💟 频道:@taoxiaotaowowo 🤖 双向:@Jiaxin9588bot 🏷 标签:#口爆 #毒龙 #深喉

🔥1

8 Aug 2026, 10:09 UTC≈1,600 views4 reactionsread 15 August 2026
Photo

#合肥 #包养 极品纯欲甜妹,月一万起 🥾橙心客服🥾:@cxbaoyang 🥾双向客服🥾:@cxbaoyangbot 🥾橙心包养频道🥾:@cxbaoy

🔥21👍1

7 Aug 2026, 12:11 UTC≈1,050 views4 reactionsread 15 August 2026
Photo

【御龍轩·酒店式主题😀😀😀】 #合肥#新店开业大酬宾☺️☺️☺️ #庐阳区📱📱📱📱📱😘😘 御龍品质保证【主打一个服务配合至上理念】 新人到店首单体验价#😀😀😀 (原价)😀😀😀 我们以最专业的服务和口碑,赢的大家的信任和支持,为您带来非同寻常的尊贵享受。 服务时间50分钟。本店不办会员。 服务:乳胶 毒龙 猴子偷桃 海底捞月 高山流水 日式调情 莞式服务 手推 胸推 臀推 腿推 B推 足推 😗推 特色服务:“喜之郎👄” 环境私密,独立淋浴🚿 全裸出镜,服务拉满🎡 停车方便,安全可靠 🌹 #开业特价活动:📱📱😀😀😀 ♥️:📱📱📱📱📱 📱📱🙂😍🙃🙃双凤起舞 ♥️:组团有优惠2人起🥰😘🙃 带朋友介绍来可优惠叠加到个人 🈵7次第🎱次半价 官方群编辑好评还有优惠 无套路、不办卡、没有任何隐型消费 🤗💯安全💯稳定💯可靠🤗 ⏰营业时间12:00—03:00 📱号:ylx1238886 备用微信号:qingchun ZJ ————————

2🔥1🥰1

1 Aug 2026, 13:24 UTC≈1,450 views1 reactionsread 15 August 2026
Photo

🏆 《95-中项-spa-口爆》特选 🏆 #合肥 ​📍 #包河区 ​💎 包河宝利丰广场 ​💎 包河和地公寓入口处 ​💎 包河铂金汉宫 ​📍 #滨湖区 ​💎 滨湖cbd公寓南一门 ​💎 滨湖万达银座 ​📍 #蜀山区 ​💎 蜀山天珑广场 ​💎 蜀山王朝公寓酒店 ​📍 #瑶海区 ​💎 瑶海恒大中央广场 ​💎 瑶海闽商国贸中心B座 ​💎 瑶海万达5号楼 ​💎 瑶海万达6号楼 ​💎 瑶海银河商务中心 ​🌟 尊享限时预约 ​🔹 经典释放套餐 | ¥499 | 深度沉浸,极尽缠绵 ​🔹 至尊解压套餐 | ¥599 | 双倍快乐,进阶享受 ​🔹 终极奢享套餐 | ¥699 | 满分体验,天花板级服务 ​🕒 营业时间:13:00 - 凌晨 03:00 👇 点击下方链接快速加入: 💬 官方交流大群:@hangzhou1686 📮 官方客服: @ttii6699

🔥1

1 Aug 2026, 13:00 UTC≈1,350 views3 reactionsread 15 August 2026
Photo

❤️ #合肥 #天上人间 #女仆馆 真实美女,主打清纯美女 带给你18岁初恋的感觉💋 新店开业,福利多多 优惠多多 每天各种顶级福利惊喜 客服:@yhbb2024 女仆群:@HFTSRJnvpu

1👍1🔥1

29 Jul 2026, 05:44 UTC≈2,300 views3 reactionsread 15 August 2026
Photo

😛 名称:#梦瑶 📍 地区:#合肥 #瑶海 💰 价格:#5P #9PP 😒 认证:#视频认证 ✈️ 联系:@jxnxndjf 💟 频道:@mmeyao11 🤖 双向:@mmyaotbot 🏷 标签:#丝袜 #陪浴 #制服

1👍1🔥1

25 Jul 2026, 03:27 UTC≈2,570 views4 reactionsread 15 August 2026
Photo

#合肥 #包养 网红纯欲款,月1.1w起 🥾橙心客服🥾:@cxbaoyang 🥾双向客服🥾:@cxbaoyangbot 🥾橙心包养频道🥾:@cxbaoy

2👍1🔥1

Showing the 7 most recent of 7 posts we hold for @hefeirzzy. 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 — 1,347,652 of 1,350,102entries 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“合肥【认证资源】” (@hefeirzzy), 16,462 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/hefeirzzy.

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.