Telegram RegisterThe public register of Telegram
Telegram profile photo for 深圳便民

Channel

深圳便民

@szbmxc1

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

48,161subscribers

-10,741 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-1001455772042
TypeChannel
Username@szbmxc1
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/szbmxc1

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 86% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

48,16158,90253,531.57 August 2026 — 58,902 subscribers7 August 2026 — 58,902 subscribers8 August 2026 — 58,209 subscribers9 August 2026 — 57,976 subscribers10 August 2026 — 57,756 subscribers11 August 2026 — 57,218 subscribers12 August 2026 — 56,863 subscribers13 August 2026 — 56,646 subscribers14 August 2026 — 56,271 subscribers16 August 2026 — 55,565 subscribers17 August 2026 — 55,123 subscribers18 August 2026 — 54,700 subscribers19 August 2026 — 54,343 subscribers20 August 2026 — 53,955 subscribers22 August 2026 — 53,503 subscribers23 August 2026 — 53,103 subscribers25 August 2026 — 52,634 subscribers26 August 2026 — 52,384 subscribers27 August 2026 — 52,030 subscribers28 August 2026 — 51,741 subscribers29 August 2026 — 51,083 subscribers30 August 2026 — 50,528 subscribers31 August 2026 — 50,315 subscribers1 September 2026 — 50,229 subscribers2 September 2026 — 49,975 subscribers3 September 2026 — 49,447 subscribers5 September 2026 — 48,909 subscribers8 September 2026 — 48,373 subscribers11 September 2026 — 57,576 subscribers13 September 2026 — 56,774 subscribers14 September 2026 — 56,270 subscribers16 September 2026 — 55,634 subscribers19 September 2026 — 55,324 subscribers25 September 2026 — 54,351 subscribers4 October 2026 — 54,093 subscribers8 October 2026 — 53,986 subscribers13 October 2026 — 53,776 subscribers14 October 2026 — 53,183 subscribers15 October 2026 — 52,880 subscribers16 October 2026 — 52,685 subscribers17 October 2026 — 52,357 subscribers18 October 2026 — 52,096 subscribers19 October 2026 — 51,855 subscribers20 October 2026 — 51,424 subscribers21 October 2026 — 51,145 subscribers23 October 2026 — 50,803 subscribers24 October 2026 — 50,580 subscribers25 October 2026 — 50,355 subscribers26 October 2026 — 50,103 subscribers27 October 2026 — 49,873 subscribers28 October 2026 — 49,754 subscribers29 October 2026 — 49,469 subscribers30 October 2026 — 49,271 subscribers31 October 2026 — 48,927 subscribers1 November 2026 — 48,756 subscribers2 November 2026 — 48,554 subscribers3 November 2026 — 48,499 subscribers4 November 2026 — 48,361 subscribers5 November 2026 — 48,296 subscribers6 November 2026 — 48,161 subscribers7 August 20266 November 2026
60 measurements spanning 91 days, net -10,741. 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 46,550–60,513 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
6 Nov 2026, 10:3748,161-135
5 Nov 2026, 08:1748,296-65
4 Nov 2026, 06:2048,361-138
3 Nov 2026, 05:2548,499-55
2 Nov 2026, 01:4148,554-202
1 Nov 2026, 01:3848,756-171
31 Oct 2026, 01:2848,927-344
30 Oct 2026, 04:3649,271-198
29 Oct 2026, 07:0549,469-285
28 Oct 2026, 04:2749,754-119
27 Oct 2026, 06:4949,873-230
26 Oct 2026, 07:3650,103-252
25 Oct 2026, 06:3550,355-225
24 Oct 2026, 04:3950,580-223
23 Oct 2026, 01:5150,803-342
21 Oct 2026, 23:2851,145-279
20 Oct 2026, 15:2851,424-431
19 Oct 2026, 15:3651,855-241
18 Oct 2026, 13:4652,096-261
17 Oct 2026, 10:1052,357first reading

Engagement

136 posts held, back to 6 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.986%
avg views ÷ 48,161 subscribers
Avg views / post
475
42 posts measured
Reaction rate
0.202%
reactions ÷ views · ER floor
Posts in window
42
of 136 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 14 of 42 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 5 November 2026
Posts held136 (6 August 2026 – 5 November 2026)
Views total19,951
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 03:58 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

Video runtime
6m 33s
Average length
14s

Measured directly from 28 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

66 reactions across 46 posts, in 2 distinct kinds. The most used accounts for 93.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6293.9%
👍46.06%

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 54 of the 136 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 136 most recent posts we hold, published 6 August 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 1 of 42 posts held from the last 30 days (2.38%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 09:40 UTC205 viewsread 6 November 2026
Photo

🟡昵称:#詹娜 🕐地区:#福田 🚀电报:@ZhannaLq 🤩双向:@ZhannaLq_bot 🔔频道:@LZhanna_5555 🔴水费:#900p #1600pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

4 Nov 2026, 08:36 UTC366 views1 reactionsread 6 November 2026
Photo

🟡昵称:#甜玖 🕐地区:#南山 🚀电报:@baoantianjiu123 🤩双向:@tiaeldsrbot 🔔频道:@baoantianjiu 🔴水费:#600p #1200pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

❤1

3 Nov 2026, 08:29 UTC503 views1 reactionsread 6 November 2026
Photo

🟡昵称:#民治小丽 🕐地区:#深圳龙华 🚀电报:@lili1889 🤩双向:@lili888888_bot 🔔频道:https://t.me/lili1899 🔴水费:#700p #1300pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

❤1

2 Nov 2026, 09:19 UTC569 views1 reactionsread 6 November 2026
Photo

🟡昵称:#橙子 🕐地区:#南山 🚀电报:@organge67 🤩双向: 🔔频道:@chengzi_678789 🔴水费: #800p #1600pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

❤1

1 Nov 2026, 08:47 UTC536 views1 reactionsread 5 November 2026
Photo

🟡昵称:#小雅 🕐地区:#龙华 🚀电报:@xy88552 🤩双向: 🔔频道:@xymhg5588 🔴水费: #700p #1200pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

❤1

31 Oct 2026, 08:52 UTC523 viewsread 4 November 2026
Photo

🟡昵称:#小鱼 🕐地区:#龙华 🚀电报:@XX20089 🤩双向: @XX20089Bot 🔔频道:@XX20086 🔴水费: #1000p #1700pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

30 Oct 2026, 08:47 UTC478 viewsread 3 November 2026
Photo

🟡昵称:#诺熙 🕐地区:#福田 🚀电报:@xtxt222 🤩双向: @ss999ls_bot 🔔频道:@ss77ls 🔴水费: #1200p #2200pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

29 Oct 2026, 07:50 UTC484 views0 reactionsread 2 November 2026
Photo

🟡昵称:#诺熙 🕐地区:#龙岗坂田 🚀电报:@NuoXiisz188 🤩双向: @NuoXisz188bot 🔔频道:@NuoXlsz168 🔴水费: #800p #1500pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

28 Oct 2026, 09:01 UTC449 viewsread 1 November 2026
Photo

🟡昵称:#芋圆姐妹 🕐地区:#南山 🚀电报:@Yuyuan100fen 🤩双向: @yuyuan100_bot 🔔频道:https://t.me/Yuyuanzuiai 🔴水费: #1000p #1800pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

27 Oct 2026, 08:27 UTC433 views1 reactionsread 31 October 2026
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🟡昵称:#幽幽 🕐地区:#宝安 🚀电报:@youuou8788 🤩双向: @sz05128_bot 🔔频道:@sz578899 🔴水费: #800p #1500pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

❤1

26 Oct 2026, 08:56 UTC447 viewsread 30 October 2026
Photo

🟡昵称:#娇娇 🕐地区:#宝安 🚀电报:@nuannuan879 🤩双向: @nuannuan879bot 🔔频道:https://t.me/+ST-Hw7e2RzE2NzY1 🔴水费: #1500p #2500pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

25 Oct 2026, 07:22 UTC401 viewsread 29 October 2026
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🟡昵称:#小甜 🕐地区:#南山 🚀电报:@T2002TRH 🤩双向: @xitianjqbot 🔔频道:@T2003TRH1 🔴水费: #1388p #2388pp 深圳修车群: https://t.me/+TSKUARCnVidiYjBk 🤐认证:🚩🏳️‍🌈🏳️‍⚧️🇺🇳🇦🇫🇦🇽

Showing the 12 most recent of 136 posts we hold for @szbmxc1. 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 recorded as deleted after publishing

We recorded 16 posts on @szbmxc1 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
31 October 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
1

Mentions

Named by 4 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳便民” (@szbmxc1), 48,161 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/szbmxc1.

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.