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Channel

哈尔滨(驻凡学院)公开榜

@hrbylzl

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

35,848subscribers

+2,030 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003032113210
TypeChannel
Username@hrbylzl
Description本群所有老师都已提供认证视频,在老师照片第一个视频,各位同学放心出击。 哈尔滨万人真实聊天群: https://t.me/wenwen09870
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/hrbylzl

Growth

33,80735,84834,827.57 August 2026 — 33,818 subscribers7 August 2026 — 33,818 subscribers8 August 2026 — 33,807 subscribers9 August 2026 — 33,875 subscribers10 August 2026 — 34,017 subscribers11 August 2026 — 34,099 subscribers12 August 2026 — 34,234 subscribers13 August 2026 — 34,990 subscribers14 August 2026 — 35,479 subscribers16 August 2026 — 35,637 subscribers17 August 2026 — 35,756 subscribers18 August 2026 — 35,848 subscribers7 August 202618 August 2026
12 measurements spanning 11 days, net +2,030. 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 33,501–36,154 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 12:4935,848+92
17 Aug 2026, 16:1735,756+119
16 Aug 2026, 08:1235,637+158
14 Aug 2026, 20:4635,479+489
13 Aug 2026, 11:5734,990+756
12 Aug 2026, 09:1334,234+135
11 Aug 2026, 11:4234,099+82
10 Aug 2026, 15:0234,017+142
9 Aug 2026, 12:3533,875+68
8 Aug 2026, 12:3833,807-11
7 Aug 2026, 19:1533,818no change
7 Aug 2026, 19:0933,818first reading

Engagement

27 posts held, back to 4 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 31 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.56%
avg views ÷ 35,848 subscribers
Avg views / post
2,710
27 posts measured
Reaction rate
0.092%
reactions ÷ views · ER floor
Posts in window
27
of 27 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 23 of 27 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 18 August 2026
Posts held27 (4 August 202618 August 2026)
Views total73,196
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 15:06 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
776
Videos
251
Links
97

Lifetime counters from Telegram’s own channel header, read 18 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
2m 33s
Average length
11s

Measured directly from 14 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

60 reactions across 23 posts, in 3 distinct kinds. The most used accounts for 93.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5693.3%
👍35.00%
😁11.67%

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 23 of the 27 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 4 August 2026 to 18 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

18 Aug 2026, 11:25 UTC614 views1 reactionsread 18 August 2026
Photo

#黑车 #避雷 #中介# #黑中介 #骗钱 故事流:都当给小故事听吧,首先介绍一号老师小鱼,此老师两个群都上榜都因为差评下榜,在我这里说榜费不够先上后付,我同意了,过了2天死活说没单,上榜当天别的不算有个包夜我都知道,就是有钱不想给,说花了,最后只交了288榜费,最后闹出了一个外出像客人索要出台费这一名场面,并且日常操作延后拖客人一小时以上时间,很多兄弟应该都记得,我直接永久下榜,最后骗钱跑路。(她有个习惯上来就叫我姐+死活想先上榜,然后想先交一部分+拖欠榜费+会主动私信客人) 在介绍以下2号老师:源源,来找我上榜,(相同的姐姐,相同的钱不够,相同的想先上最后结果也是相同的骗钱跑路),我就质量感觉不对劲了,对比了一下,发现和1号老师小鱼,课程一模一样,问了是不是一个中介,不承认,只说是朋友,最后先上榜了,嗯,经典熟悉的又来了,日常让约课的兄弟多等一个多小时,动不动人就丢了,最后我要榜费时候还是不想给,我直接下榜着急了,给了30

👍1

18 Aug 2026, 06:30 UTC911 views1 reactionsread 18 August 2026
Photo

狼友 出击提示:外出定金不可超过200,包夜不可超过300,剩下一切请面付,避免被骗,超过这个数字本群概不负责。 以下是今日出勤老师榜单导航 👑雨沫老师👑 果果老师👑茉莉800👑 👑爱笑老师👑 金牌少妇👑艺轩老师👑 👑小小老师👑海蓝老师👑银子1000👑 👑卡西老师👑美少女 👑菲菲龙筋👑 👑十三姨800👑苹果700 👑豆包800👑 👑丽娜老师👑喵喵600👑欣姐500👑 👑小晴600👑兔兔老师👑雨欣800👑 :以下是有教室的老师: 👑cc800👑泡泡600👑沁沁1000👑 以下是商家榜单导航: ⭐哈尔滨商K⭐ 哈尔滨mmc ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ 👑万分群进群要求:点击跳转万分群页面 温意提示:

👍1

17 Aug 2026, 19:01 UTC705 viewsread 18 August 2026
Video

兄弟们,这个源源老师暂时又下榜了哦!切误在约!如果有交定金的可以立即带着截图来找我领取。交的定金只有半夜3点以前交的可以找我补,以后的不要找我,因为已经下榜了,我只管下榜以前的事😁

17 Aug 2026, 06:30 UTC≈1,520 views2 reactionsread 18 August 2026
Photo

狼友 出击提示:外出定金不可超过200,包夜不可超过300,剩下一切请面付,避免被骗,超过这个数字本群概不负责。 以下是今日出勤老师榜单导航 👑雨沫老师👑 果果老师👑茉莉800👑 👑爱笑老师👑 金牌少妇👑艺轩老师👑 👑小小老师👑海蓝老师👑银子1000👑 👑卡西老师👑美少女 👑菲菲龙筋👑 👑十三姨800👑苹果700 👑豆包800👑 👑丽娜老师👑喵喵600👑欣姐500👑 👑小晴600👑兔兔老师👑雨欣800👑 :以下是有教室的老师: 👑cc800👑泡泡600👑沁沁1000👑 以下是商家榜单导航: ⭐哈尔滨商K⭐ 哈尔滨mmc ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ 👑万分群进群要求:点击跳转万分群页面 温意提示:

2

17 Aug 2026, 01:17 UTC≈2,160 views1 reactionsread 18 August 2026

华北地区/东北地区 天津 太原 石家庄 哈尔滨 大连 华中地区: 郑州 南阳 新乡 武汉 武汉2 襄阳 宜昌 长沙 衡阳 常德 华东地区: 济南 临沂 枣庄泰安济宁 聊城 南京 苏州 淮安 南通 盐城 宿迁 扬州泰州镇江 徐州 连云港 无锡 常州 合肥 皖南 阜阳亳州 宿州淮北 蚌埠淮南 上海 杭州 宁波 湖州 嘉兴 绍兴 南昌 赣州 景德镇 福建 华南地区 广州 佛山 东莞 珠海 惠州 江门 中山 韶关 河源 潮州揭阳 南宁 柳州 海口 三亚 琼海 儋州 西南地区/西北地区 西安 兰州 成都 贵阳 遵义 昆明

1

15 Aug 2026, 09:23 UTC≈3,410 views4 reactionsread 18 August 2026
Photo

区域:#哈尔滨 #外出 艺名:思涵 类型:#御姐 #服务型 罩杯:C 课费:400 服务:看课表 介绍:#性价比之王 联系方式:直联老师 双向机器人:直联机器人 书写车评:👉💌评价 全部车评:《查询全部车评》

4

15 Aug 2026, 05:55 UTC≈4,150 views6 reactionsread 18 August 2026
Photo

🔥哈尔滨大尺度商K体验TOP1🔥 🌟全城最会玩 尺度与氛围双重保障🌟 🎤每日200+音乐老师驻场 专业气氛组带队狂欢 💃能亲能喝能互动 培训上岗玩得开 ⏰黄金时段攻略 ✅优选20:30-21:30 演员任选颜值在线 ⚠️避雷22:30后 包厢紧张选择减少 🌙深夜1:00-2:30 状态火热易上头 📌挑人秘籍 👉穿得辣眼神撩优先选 强扭的瓜不甜 👉笑容甜性格好才是王道 🎮三阶段沉浸式体验 1️⃣ 破冰期 秀实力聊兴趣 高级感拉满第一印象 2️⃣ 游戏期 骰盅扑克配酒 互动升温火力全开 3️⃣ 嗨玩期 氛围到位全身游走 舌尖缠绵不干涩 💡行家忠告 🔺提前说预算+玩法 招待客户我帮你控全场 #摸摸唱 #哈尔滨商务KTV #哈尔滨商K #商K攻略 ———————————————— 🔰靠谱安排👇联系 电报:@asxyyyi 电话:19945947414(微信同号) 组队群:https://t.m

6

14 Aug 2026, 08:37 UTC≈4,470 views1 reactionsread 18 August 2026
Photo

区域:#哈尔滨 #上门 艺名:#雨沫老师 类型:#御姐 罩杯:#C 课费:#600p 服务:#车震 #69 #制服 介绍:#大长腿 联系方式:直联老师 双向机器人:直联机器人 书写车评:👉💌评价 全部车评:《查询全部车评》

1

14 Aug 2026, 08:30 UTC≈3,380 views3 reactionsread 18 August 2026
Photo

区域:#哈尔滨 #外出 艺名:#朵朵 类型:#嫩妹 #大长腿 罩杯:#C 课费:#1000p 服务:看课表 介绍:#大连金牌支教老师 联系方式:直联老师 双向机器人:直联机器人 书写车评:👉💌评价 全部车评:《查询全部车评》

3

14 Aug 2026, 06:30 UTC≈1,370 views2 reactionsread 15 August 2026
Photo

狼友 出击提示:外出定金不可超过200,包夜不可超过300,剩下一切请面付,避免被骗,超过这个数字本群概不负责。 以下是今日出勤老师榜单导航 👑雨沫老师👑 果果老师👑茉莉800👑 👑爱笑老师👑 金牌少妇👑艺轩老师👑 👑小小老师👑海蓝老师👑银子1000👑 👑卡西老师👑美少女 👑菲菲龙筋👑 👑十三姨800👑苹果700 👑豆包800👑 👑丽娜老师👑喵喵600👑欣姐500👑 👑小晴600👑朵朵1000👑雨欣800👑 :以下是有教室的老师: 👑cc800👑妖妖396👑沁沁1000👑 以下是商家榜单导航: ⭐哈尔滨商K⭐ 哈尔滨mmc ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ 👑万分群进群要求:点击跳转万分群页面 温意提

2

Showing the 12 most recent of 27 posts we hold for @hrbylzl. 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.

Posts edited after publishing

@hrbylzl edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
15 August 2026

Citation-graph rank

Citation-graph rank — 1,121,961 of 1,549,376entries 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.

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

“哈尔滨(驻凡学院)公开榜” (@hrbylzl), 35,848 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/hrbylzl.

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.