Telegram RegisterThe public register of Telegram
Telegram profile photo for 惠州资源公开榜

Channel

惠州资源公开榜

@hzbg1

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

24,217subscribers

+713 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001675901018
TypeChannel
Username@hzbg1
Description#惠州 #惠城 惠州联邦修车群公开榜。@hztgs
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/hzbg1

Topic

Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 why it has no browse page of its own yet.

Growth

23,50424,21723,860.57 August 2026 — 23,504 subscribers7 August 2026 — 23,504 subscribers8 August 2026 — 23,515 subscribers9 August 2026 — 23,523 subscribers10 August 2026 — 23,547 subscribers11 August 2026 — 23,590 subscribers12 August 2026 — 23,622 subscribers13 August 2026 — 23,632 subscribers14 August 2026 — 23,681 subscribers16 August 2026 — 23,706 subscribers17 August 2026 — 23,727 subscribers18 August 2026 — 23,739 subscribers19 August 2026 — 23,766 subscribers20 August 2026 — 23,778 subscribers22 August 2026 — 23,800 subscribers23 August 2026 — 23,828 subscribers25 August 2026 — 23,838 subscribers26 August 2026 — 23,850 subscribers27 August 2026 — 23,861 subscribers28 August 2026 — 23,874 subscribers29 August 2026 — 23,890 subscribers30 August 2026 — 23,914 subscribers31 August 2026 — 23,933 subscribers1 September 2026 — 23,939 subscribers2 September 2026 — 23,949 subscribers3 September 2026 — 23,977 subscribers5 September 2026 — 23,995 subscribers8 September 2026 — 24,046 subscribers11 September 2026 — 24,084 subscribers13 September 2026 — 24,094 subscribers14 September 2026 — 24,129 subscribers16 September 2026 — 24,160 subscribers19 September 2026 — 24,169 subscribers25 September 2026 — 24,217 subscribers7 August 202625 September 2026
34 measurements spanning 49 days, net +713. 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 23,397–24,324 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 16:0124,217+48
19 Sept 2026, 02:5824,169+9
16 Sept 2026, 18:1924,160+31
14 Sept 2026, 18:3624,129+35
13 Sept 2026, 08:1824,094+10
11 Sept 2026, 09:0224,084+38
8 Sept 2026, 16:3824,046+51
5 Sept 2026, 09:5423,995+18
3 Sept 2026, 11:5623,977+28
2 Sept 2026, 02:5723,949+10
1 Sept 2026, 06:1823,939+6
31 Aug 2026, 05:5423,933+19
30 Aug 2026, 07:2623,914+24
29 Aug 2026, 10:2623,890+16
28 Aug 2026, 09:2823,874+13
27 Aug 2026, 07:0523,861+11
26 Aug 2026, 05:5623,850+12
25 Aug 2026, 04:3723,838+10
23 Aug 2026, 23:4423,828+28
22 Aug 2026, 05:1723,800first reading

Engagement

166 posts held, back to 5 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 66 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.5%
avg views ÷ 24,217 subscribers
Avg views / post
2,530
42 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
42
of 166 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 29 September 2026
Posts held166 (5 August 2026 – 29 September 2026)
Views total106,336
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 20:33 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
105
Videos
31
Links
126

Lifetime counters from Telegram’s own channel header, read 29 September 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
6m 18s
Average length
9s

Measured directly from 41 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.

Recent posts

29 Sept 2026, 12:39 UTC809 viewsread 29 September 2026
Photo

#朵儿 #惠城区 #龙丰 有地方 400p 800pp 私聊: @duoer20033 频道: https://t.me/duoer200331 双向: @Tetssifbot

29 Sept 2026, 11:28 UTC938 viewsread 29 September 2026
Photo

#小可 #惠城区 #江北 有地方 500p 1000pp 私聊: @xiaokeke88887 双向: https://t.me/xiaoke8888889909 双向:@xiaoke0998766_bot

29 Sept 2026, 11:28 UTC893 viewsread 29 September 2026
Photo

#安娜 #惠城区 #河南岸 有地方 600p 1100pp 私聊: @fafa914914 频道: https://t.me/+39r_GhQoJF1kMWYx 双向: @xixi99999_bot

29 Sept 2026, 11:15 UTC903 viewsread 29 September 2026
Photo

#泰国车厘子 #惠城区 #河南岸 有地方 全套650 1p 快餐450 1p 联系: @SWLMSS68 频道: https://t.me/TLDNHSS 双向: @SWLMSSbot

29 Sept 2026, 06:07 UTC≈1,310 viewsread 29 September 2026
Photo

#米娜 #惠城区 #江北 有地方 500p 1000pp 私聊: @qingqing0061 频道: https://t.me/Qingqing55881 双向: @qingqingi_bot

29 Sept 2026, 04:57 UTC≈1,580 viewsread 29 September 2026
Video

#娜塔莎 #惠城区 #麦地 有地方 700p 1400pp 混血 私聊: @hjfwejj 频道: https://t.me/Mgtasha25 双向: @Guoguozzzbot

28 Sept 2026, 13:22 UTC≈2,050 viewsread 29 September 2026
Photo

#林希 #惠城区 #河南岸 有地方 700p 1300pp 联系: @linxi1828 频道: https://t.me/linxi18288 双向机器人: @linxi1828bot

28 Sept 2026, 09:59 UTC≈1,940 viewsread 29 September 2026
Photo

#玖悦 #惠城区 #河南岸 有地方 700p 1300pp 联系:@jiuyue697 频道: https://t.me/qingning2367 双向机器人: @qingning697bot

28 Sept 2026, 09:30 UTC≈1,820 viewsread 29 September 2026
Photo

#苏宁 #惠城区 #龙丰 有地方 700p 1300pp 私聊: @suning165 频道: https://t.me/suning1658 双向: @suning165bot

28 Sept 2026, 07:50 UTC≈1,940 viewsread 29 September 2026
Video

#伊娃 #惠城区 #河南岸 有地方 700p1300pp 联系: @asxx5689 频道: https://t.me/SDS125 双向: @zxa1sbot

28 Sept 2026, 07:40 UTC≈1,960 viewsread 29 September 2026
Photo

#小白 #惠城区 #江北 有地方 600p1200pp 36E冷白皮 联系: @xiaobai7788996 频道: https://t.me/xiaobai77556 双向: @xiaobai369_bot

27 Sept 2026, 09:53 UTC≈2,510 viewsread 29 September 2026
Photo

#雪糕 #惠城区 #河南岸 有地方 700p 1300pp 联系:@hm57883 频道:https://t.me/ghj35677 双向:@hzyouyanbot

Showing the 12 most recent of 166 posts we hold for @hzbg1. 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

@hzbg1 edited 10 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
10 August 2026
Most recent edit
29 September 2026

Forward network

Republished by

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

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 2 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.

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

“惠州资源公开榜” (@hzbg1), 24,217 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/hzbg1.

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.