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Channel

🍵伯昌君的休假记录

@bochangjun

On this record: Observations · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

8,780subscribers

+3,777 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003328169500
TypeChannel
Username@bochangjun
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live3 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/bochangjun

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

6,170 average views per post against 8,780 subscribers — an engagement rate of 70.3%. Across the 1,893 registered channels in the same cohort — 3,168–9,997 subscribers, posting mainly in Chinese — the middle half sit between 1.94% and 12.9%, with a median of 5.48%.

What this was computed from
Window30 days (4 August 2026 3 September 2026)
Posts measured20 of 21 published in the window (0 exact, 20 rounded by Telegram)
Views totalled123,420
Mature posts only70.3% over 20 posts read at least 24h after publication
Subscribers8,780 measured 3 September 2026
Cohortb3162:zho · 1,893 channels · p10 0.558% · p25 1.94% · p50 5.48% · p75 12.9% · p90 25.8%
Position in cohort99.154th percentile · 12.8× the cohort median
Uncertainty±0.058% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 3 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

5,00310,0627,532.56 August 2026 — 5,003 subscribers7 August 2026 — 5,014 subscribers10 August 2026 — 5,127 subscribers14 August 2026 — 5,566 subscribers17 August 2026 — 6,403 subscribers20 August 2026 — 10,062 subscribers22 August 2026 — 9,937 subscribers25 August 2026 — 9,380 subscribers28 August 2026 — 8,832 subscribers31 August 2026 — 8,752 subscribers3 September 2026 — 8,780 subscribers8,7806 August 20263 September 2026
11 measurements spanning 28 days, net +3,777. 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 4,244–10,821 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 10:448,780+28
31 Aug 2026, 12:168,752-80
28 Aug 2026, 13:488,832-548
25 Aug 2026, 07:529,380-557
22 Aug 2026, 03:569,937-125
20 Aug 2026, 20:0510,062+3,659
17 Aug 2026, 16:076,403+837
14 Aug 2026, 00:165,566+439
10 Aug 2026, 09:335,127+113
7 Aug 2026, 06:505,014+11
6 Aug 2026, 20:175,003first reading

Engagement

38 posts held, back to 17 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
70.3%
avg views ÷ 8,780 subscribers
Avg views / post
6,170
20 posts measured
Reaction rate
0.147%
reactions ÷ views · ER floor
Posts in window
21
of 38 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 19 of 20 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 27 August 2026
Posts held38 (17 July 202627 August 2026)
Views total123,420
Reactions total176
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:12 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.

Reaction mix

318 reactions across 31 posts, in 9 distinct kinds. The most used accounts for 68.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21868.6%
👍4815.1%
💩195.97%
🔥134.09%
👎82.52%
🤣61.89%
🎉30.943%
👏20.629%
😁10.314%

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 32 of the 38 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 318 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 17 July 2026 to 27 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

27 Aug 2026, 13:43 UTC≈15,000 views22 reactionsread 28 August 2026
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兄弟们,看一下孙宇晨最新一条推特,他和景甜的故事,太劲爆了!🤣🤣🤣

9🔥9👍3😁1

26 Aug 2026, 02:52 UTC≈14,200 views6 reactionsread 28 August 2026
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📢 《团建通知》第2次【妍妍】 各位同事: 为增强团队凝聚力,丰富业余生活,经研究决定组织团建活动,安排如下: 一、活动名额 由团建供应商妍妍 @yanyan09091 提供优惠 。💰团建价:900P*5人(原价:1000P) 二、报名方式 本通知评论区回复1,即视为报名。先到先得。@bochangjun5 会在评论区确认名额并通知老师。申请后5天内使用,不去请勿占用名额。 三、活动总结 团建后当天须向 @bochangjun5 提交100~150字简短心得体会一份。5 份心得将汇编后于本频道统一发布。 特此通知。

6

25 Aug 2026, 09:42 UTC≈10,200 views15 reactionsread 28 August 2026
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《妍妍:别把她欺负跑了》 🍵 上海闵行|妍妍|10p 联系方式:@yanyan09091 她的频道只有一张课表,除了照片就是价格,一条评论也没有。 像个骗子,但视频里涉世未深的样子有点吸引我。 (一)护士装已经穿好了 门一开,一个和视频里一模一样、俏生生的人穿着护士装站在我面前,手足无措地看着我。 1 米 7,腰上没有赘肉,屁股紧致,胸很大,我一摸是天然的。没有乳晕,只有一个很嫩的小乳尖。 抱着她在沙发上温存,她大腿一直在抖。 我问是不是冷,她说是冷的。 我问是不是害怕,她说是。 (二)她真的在帮我洗澡 老小区,装修谈不上好,但收拾得干干净净。 她声音很轻很细:“我来帮哥哥洗澡吧。” 她把护士装一件件脱下来,伺候我脱衣服,帮我摆好鞋。带我进浴室才发现自己穿着高跟鞋,又哒哒哒跑回去换。 打上沐浴露,她把我全身搓了一遍,还学着亲我的咪咪,甚至从屁股后面把手伸到前面去洗。 她是真的以为,这是一份帮人洗澡

12👍3

23 Aug 2026, 10:15 UTC≈3,790 views9 reactionsread 28 August 2026
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📢 《团建通知》 各位同事: 为增强团队凝聚力,丰富业余生活,经研究决定,现组织本年度第一次团建活动。具体安排如下: 一、活动名额 由团建供应商徐小雨 @xuxiaoyu520 提供团建补贴 -200p优惠券*5人。 二、报名方式 本通知评论区回复 1,即视为报名。先到先得,满 5 人截止。 请确定能参加的同事再报名,不参加的请勿占用名额,已报名同事如无法出席,名额按报名顺序顺延。 需7天内出击,出击2天内提交短评。 三、活动总结 活动结束后须向伯昌君提交 150 字以内心得体会一份。 5 份心得将汇编为《徐小雨的团建报告》,于本频道统一发布。 本次为第一次团建,反响良好的话,后续将持续开展。 特此通知。

👍54

20 Aug 2026, 10:16 UTC≈5,020 views9 reactionsread 28 August 2026
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《知夏和她的红绳》 🍵 上海闵行|知夏(3刷)|1000p 联系方式:@zhixiabb2 淅淅沥沥的细雨,我停好车,打了把伞。 小屋门口是一大块草地,小区里一辆清扫车慢慢地开,慢得像把时间也扫慢了。 好久没来,推开门还有点陌生。看见那个高挑的身影,陌生就没了。 (一)我就吃这一套 她眨巴着精心挑的睫毛迎上来,白里透红的脸上一颗小虎牙。 换了拖鞋,她逮到机会就亲我一下,从客厅亲到房间,挽着我去洗澡。洗正面啄一下,洗背面啄一下。 “哥哥,你怎么那么好啊?” “哥哥,你怎么那么坏呀?” 这样的女生放综艺里,弹幕一定说她作。不好意思,我就吃这一套。 (二)浅色只配给玉 新做的指甲,有的是带珠光的白,有的是带一点腮红的玉色。 摸着她的手我才想明白——这人整个就是一块玉。白,软,腰细,不是马甲线的细,是一捏就能捏进去的、肤若凝脂的细。腮红是从白玉里透出来的暖。 通身的浅,只有脚踝上那一根红绳。系在一块玉上的、唯

6👍3

20 Aug 2026, 05:08 UTC≈3,400 views4 reactionsread 28 August 2026

本频道真实关注人数约6000,近期因抽奖活动涌入大量机器人,导致频道人数超1万🤣🤣🤣 不代表本频道真实影响力,特此声明!

4

20 Aug 2026, 04:00 UTC≈4,000 views1 reactionsread 28 August 2026
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💐💐💐开奖了💐💐💐 🎰 伯昌君4000粉福利🎉丨第4场“小怪兽” 开奖了! 本期总参与人数: 4827 1- 不为谁而作 获得:100元口令红包🧧 谨祝中奖用户大吉大利万事顺意

1

Signed 抽奖机器人

19 Aug 2026, 07:37 UTC≈7,120 views9 reactionsread 28 August 2026
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《赫连:我有分寸的》 🍵 上海嘉定|赫连|700p 联系方式: @helian_hl 这是我第五次写赫连。 那天我跟她说:“你知道你开课最大的风险是什么吗?你这样子,会有LY爱上你的。” 她说:“哥放心,我有分寸的。” (一)她从不坐在一边 只要我坐着,她就不会坐到一边去。 柔柔乎乎的身子贴过来,S 级的曲线压在我身上,头往我肩上一靠。笑的时候,用手捂着嘴。 我夸她头发香,她就踮起脚来抱我。 我抓住她的手,她就用两条腿把我环住。 我亲她的脖颈,她扭动起来,声音软得不成样子。 我从来没有遇到过这样的女孩子。 (二)班味 一份本职工作,家里的一摊事,还留着自己 cosplay 的爱好,还要在每个客人面前给满满的情绪价值。 哪怕是普通的班,上久了都会有班味。 她说她也会累。累了就歇几天不开课,等情绪调整好,再用饱满的精神让哥哥开心。 切一盘水果、备两瓶饮料、走的时候塞个小礼物——这些技巧,老狐狸一眼就看

9

18 Aug 2026, 08:02 UTC≈3,430 views10 reactionsread 28 August 2026
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📔 伯昌君的休假记录:群规v1.0 1. 价值观:愿志同道合的兄弟能避坑指路,认真生活的老师能得其所属 2. 不聊政治、不发黄图(让群更长久) 3. 出击前不透露行程,只用现金,不加微信(让出击更长久) 4. LS和LY都不得透露其他LY的私人特征 群链接:@bochangjuntalk

👍73

17 Aug 2026, 02:30 UTC≈3,870 views3 reactionsread 28 August 2026
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我太感动了😭😭😭这是今天最高兴的事 👉 《出击往事》我和COS零花钱妹妹的真实故事 👉 《出击余罪》在成都遇见一个欠债被控制的花季少女

3

Showing the 12 most recent of 38 posts we hold for @bochangjun. 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

@bochangjun edited 1 post 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
12 August 2026
Most recent edit
12 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 16 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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“🍵伯昌君的休假记录” (@bochangjun), 8,780 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/bochangjun.

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.