Telegram RegisterThe public register of Telegram
Telegram profile photo for 不明白播客官方频道

Channel

不明白播客官方频道

@bmbpod

On this record: Growth · Engagement · Reactions · Posts · Cite this entry

814subscribers

+20 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002276103586
TypeChannel
Username@bmbpod
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live28 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/bmbpod

Growth

7948148047 August 2026 — 794 subscribers8 August 2026 — 794 subscribers15 August 2026 — 807 subscribers21 August 2026 — 812 subscribers28 August 2026 — 814 subscribers7 August 202628 August 2026
5 measurements spanning 20 days, net +20. 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 791–817 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 05:43814+2
21 Aug 2026, 06:34812+5
15 Aug 2026, 00:37807+13
8 Aug 2026, 01:45794no change
7 Aug 2026, 20:27794first reading

Engagement

20 posts held, back to 6 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.4%
avg views ÷ 814 subscribers
Avg views / post
150
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 20 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 5 August 2026
Posts held20 (6 June 20265 August 2026)
Views total299
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:45 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

8 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 62.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍562.5%
225.0%
🔥112.5%

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 4 of the 20 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 6 June 2026 to 5 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

5 Aug 2026, 00:37 UTC117 viewsread 8 August 2026

“我只是执行命令”,能够免除责任吗? 前新疆警察张亚博愿意离开中国、公开作证,却也坚持自己只是一枚“小螺丝钉”,从未迫害过任何人。他能够细致地讲述自己受过的伤害,却很难看见自己的工作给别人造成了什么。 本期《不明白下午茶》,袁莉和查建英从张亚博谈起,讨论受害者与执行者的双重身份,以及中国社会为什么很难公开谈论个人罪责、共谋、忏悔与救赎。 点击收看视频版:https://youtu.be/1qun2vwnBSk 点击加入我们的YouTube会员:https://bit.ly/bmb-yt-sub 点击捐赠支持不明白播客:https://www.bumingbai.net/donation/ 欢迎点击收听《EP-227 受害者,也是执行者:谈中国人的罪责、同理心与忏悔》 官网:https://bit.ly/bmb-227-zyb Spotify:https://bit.ly/bmb-227-spo Apple:ht

1 Aug 2026, 00:22 UTC182 viewsread 8 August 2026

《EP-225 不明白下午茶|我们的旅行日志:在别处看见自己》文字版已上线:https://bit.ly/bmb-225-txt

30 Jul 2026, 12:21 UTC193 viewsread 8 August 2026

张亚博在新疆当了9年警察,参与中国政府对维吾尔人的大规模监控、拘禁和强制同化政策。他反复说,自己只是在执行命令,是国家机器上的“小螺丝钉”。他甚至认为,自己也是体制的受害者。受到体制的伤害,能否免除一个人协助体制加害他人的责任?这期播客探讨了关于责任、罪责和救赎。 点击收看视频版:https://youtu.be/_aAAAT3kYP4 点击加入我们的YouTube会员:https://bit.ly/bmb-yt-sub 点击捐赠支持不明白播客:https://www.bumingbai.net/donation/ 欢迎点击收听《EP-226 “我只是一枚小螺丝钉”:一名前新疆警察的自述 》 官网:https://bit.ly/bmb-226-zyb Spotify:https://bit.ly/bmb-226-spo Apple:https://bit.ly/bmb-226-app Substack:https://b

23 Jul 2026, 00:36 UTC244 viewsread 8 August 2026

《EP-224 黄亚生:中国政府为何系统性压低工人工资?》文字版已上线: bit.ly/bmb-224-txt

20 Jul 2026, 01:14 UTC286 viewsread 8 August 2026

这一期下午茶,我们来聊聊旅行。查建英在布达佩斯喝帕林卡,在布拉格吃肉吃到“肉醉”,而袁莉则在年轻时喜欢独自徒步,后来只想避开暑假、住得舒服。 查建英说,人到了另一个空间,才能更容易看清自己。旅行是否真的能折射一个人的性格与人生态度? ✈️ 最新下午茶已上线~ 点击收看视频版:https://youtu.be/GiK5sg6LCdg 点击加入我们的YouTube会员:https://bit.ly/bmb-yt-sub 点击捐赠支持不明白播客:https://www.bumingbai.net/donation/ 欢迎点击收听《EP-225 不明白下午茶|我们的旅行日志:在别处看见自己》 官网:https://bit.ly/bmb-225-lx Spotify:https://bit.ly/bmb-225-spo Apple:https://bit.ly/bmb-225-app Substack:https://b

17 Jul 2026, 13:37 UTC272 viewsread 8 August 2026

一个自称信奉马克思主义的国家,为何长期压低劳动收入?中国为什么既出口汽车,也出口T恤?为何工人工资占制造业产出的比例全球倒数第二,甚至低于印度?出口还能支撑中国增长多久?政府会主动推动加薪吗? 麻省理工学院教授黄亚生在最新播客中逐一回应,欢迎收听、收看最新节目。 点击收看视频版:https://youtu.be/tvnPpQV4RWY 点击加入我们的YouTube会员:https://bit.ly/bmb-yt-sub 点击捐赠支持不明白播客:https://www.bumingbai.net/donation/ 欢迎点击收听《EP-224 黄亚生:中国政府为何系统性压低工人工资?》 官网: https://bit.ly/bmb-224-hys Spotify:https://bit.ly/bmb-224-spo Apple: https://bit.ly/bmb-224-app Substack: https:

14 Jul 2026, 01:12 UTC263 viewsread 8 August 2026
Photo

这是受Threads上面一个有近两万回复的帖启发而发的征集, “说出一百个在中国生活感觉自己很‘低贱’的瞬间”, https://www.threads.com/@lov3isalosingame/post/DR82aCpEoW-?xmt=AQG0ZkpcOWZnSoLSa6BVKWEEw7VOxPrgQPoIU2qUaSgiRA 有人说是时薪没有充电宝高 , 有人说是要翻墙打游戏, 有人说是打了很多字,又因为害怕全部删掉的时候。 你认同评论中的这些说法吗?欢迎联系我们,把你的经历说出!

10 Jul 2026, 15:47 UTC273 views2 reactionsread 8 August 2026

什么是“中华灯塔派”? 简单说,就是那些把中国模式想象成世界范本的人。高铁、基建、AI、城市安全,常常成为他们眼中“中国模式优越”的证据。 但问题是,看见高楼和机器人的同时,是否也要看见失业、房地产危机、资本外逃、审查与恐惧? 本期下午茶,查建英与袁莉一起来聊聊“中华灯塔派”:从曾经向往毛时代中国的西方左派,到今天被DeepSeek、高铁和中国城市景观震撼的网红与知识分子,为什么把中国的统治方式想象成应该效仿的模式? 点击收看视频版本:https://youtu.be/3jzyYjwM5Nw 欢迎点击收听《EP-223 不明白下午茶|高铁、AI与中国世纪:中华灯塔派在向往什么?》 官网:https://bit.ly/bmb-223-zhdtp Spotify:https://bit.ly/bmb-223-spo Apple: https://bit.ly/bmb-223-app Substack: https://b

👍1🔥1

4 Jul 2026, 10:50 UTC358 viewsread 8 August 2026

一个曾以“爆料革命”聚集大批追随者的人,为什么最终因诈骗案被判30年? 本期节目,袁莉对话《纽约时报》调查记者傅才德。自2017年起,傅才德持续追踪郭文贵,曾采访他三次,共约20小时。他见过郭文贵最风光、最自信的时期,也在宣判当天写下:这是一个“风光不再的人”。 郭文贵关于中共权贵的爆料,哪些能够证实,哪些让记者调查六个月仍无法发表?电话另一端真的是丁薛祥吗?他与马健、孙立军、托尼·布莱尔和班农的关系究竟有多深?为什么一些人损失巨额金钱、家庭破裂,另一些人却依然把他视为政治领袖? 从豪宅采访到联邦法庭,这是一场关于权力、信念、媒体核查与诈骗的长谈。欢迎收听、收看本期节目。 点击收看视频版本:https://youtu.be/JalCoT7HGcA 点击收听《EP-222 纽时调查记者眼中的郭文贵》: 官网:https://bit.ly/bmb-222-mike Spotify:https://bit.ly/bmb-22

1 Jul 2026, 03:09 UTC295 viewsread 8 August 2026
Photo

美东时间周三晚上9点、北京时间周四上午9点,不明白播客邀请《纽约时报》记者傅才德Mike Forsythe,听他讲述郭文贵在美国的高光时刻,他参加的每一场庭审以及周一宣判时法庭上的戏剧场面。对于郭文贵与这起案件的庭审,你想了解什么?欢迎向嘉宾提问: https://bit.ly/bmb-live11-slido

28 Jun 2026, 04:53 UTC291 viewsread 8 August 2026

《EP-220 文革60周年丨许成钢:我的19岁,从造反派到反革命》文字版已上线:https://bit.ly/bmb-220-text

27 Jun 2026, 12:26 UTC334 viewsread 8 August 2026

这期下午茶,袁莉和查建英聊的主题是流亡与离散。 从中共建政之后的数次流亡潮到Z世代的润学,无论是留学、工作还是彻底的移民,离开中国之后的人们总要面对一些共同的难题:如何对待自己的母语?如何重建自己的生活?如何寻找与确认自己的身份认同? 查建英说,人总要死一次才能重生,无论是地理意义、文化意义还是心理意义上,她为什么这么说?在流亡、离散的状态下,我们应该多大程度上保留自己的文化?我们能够如何应对在异乡的不安全感?我们可能在中国的内部流亡吗? 节目最后有加长版特别彩蛋,记得收听、收看! 点击收看视频版本:https://youtu.be/Q6quAFfDO_k 点击加入我们的YouTube会员:https://bit.ly/bmb-yt-sub 点击捐赠支持不明白播客:https://www.bumingbai.net/donation/ 欢迎点击收听《EP-221 不明白下午茶丨中国人的流亡与离散:离开故土,切勿回头》:

Showing the 12 most recent of 20 posts we hold for @bmbpod. 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.

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

“不明白播客官方频道” (@bmbpod), 814 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/bmbpod.

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.