😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🀄️今日聚焦曝光:@a0159 🀄️全球狗推大院:@TGO_N 🀄️头条快报: @bgtgq 🀄️狗推大队: @chigua_u 🀄️华人大事件: @dnyh0 🀄️ 华人社区: @hr036 🀄️黑平台曝光: @heicai_baoguang 🀄️受害者协会: @baoguangtai03 #休闲娱乐 💎 体育赛事推荐: @ty828 体育赛事交流 : @shijiebei518 #吃瓜娱乐 🤨搞笑吃瓜: @chiguagaoxiao58 #二手交易 🎁闲转二手交易: @ershou580 #求职招聘 🌞招聘求职: @zhaopinqiuzhi580 #影视电影 😍电影频道:@dianying580 #成人教育 😇 麻豆视频 :@sanji580 长期合作 ~ 共创荣华 ~ 诚信经营 ~ ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@la

Channel
华人社区-宏盟网导航
@hongmengwang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,465subscribers
+13,201 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001567236276 |
|---|---|
| Type | Channel |
| Usernames | @hongmengwang @huanrenshequ |
| Description | 欢迎加入宏盟网 商务合作: @laqbi 宏盟网华人社区导航: @huanrenshequ |
| Created | 2 December 2021 — measured — dated from the channel’s first post |
| First recorded | 14 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 15 |
| On Telegram | t.me/hongmengwang |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 23:22 | 13,465 | no change |
| 4 Oct 2026, 22:47 | 13,465 | -6 |
| 4 Oct 2026, 04:21 | 13,471 | -27 |
| 25 Sept 2026, 07:40 | 13,498 | +32 |
| 18 Sept 2026, 20:38 | 13,466 | -5 |
| 16 Sept 2026, 11:19 | 13,471 | -5 |
| 14 Sept 2026, 17:21 | 13,476 | -11 |
| 13 Sept 2026, 05:41 | 13,487 | +10,047 |
| 9 Sept 2026, 05:35 | 3,440 | -11 |
| 4 Sept 2026, 00:37 | 3,451 | +7 |
| 31 Aug 2026, 20:47 | 3,444 | -26 |
| 28 Aug 2026, 23:23 | 3,470 | +3,251 |
| 21 Aug 2026, 03:03 | 219 | -45 |
| 14 Aug 2026, 23:14 | 264 | no change |
| 14 Aug 2026, 04:33 | 264 | first reading |
Engagement
19 posts held, back to 2 December 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.7%
- avg views ÷ 13,465 subscribers
- Avg views / post
- 2,250
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 19 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.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 19 (2 December 2021 – 28 September 2026) |
| Views total | 6,746 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 23:22 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
- 17
- Videos
- 1
- Links
- 14
Lifetime counters from Telegram’s own channel header, read 4 October 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 53s
- Average length
- 2m 53s
Measured directly from 1 video 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
6 reactions across 2 posts, in 6 distinct kinds. The most used accounts for 16.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 6280359870386413605 | 1 | 16.7% | |
| custom 6280436209135131963 | 1 | 16.7% | |
| custom 6280489234801369623 | 1 | 16.7% | |
| custom 6280569280106864553 | 1 | 16.7% | |
| custom 6280608690726775546 | 1 | 16.7% | |
| custom 6280782928960036436 | 1 | 16.7% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 2 of the 19 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 2 December 2021 to 28 September 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
#九一八事变 #中国 #勿忘国耻 #反法西斯 #95周年 九·一八事变 September 18th Incident 1931年9月18日晚,日本关东军岛本大队川岛中队中尉河本末守率部下数人,在沈阳北大营南约800米的柳条湖附近,将42包黄色炸药放置在南满铁路轨道上,并摆放了3具身穿中国士兵服的尸体。当晚10点20分,河本末守引爆炸药,南满铁路被炸开一个口子。听到爆炸声,蓄谋已久的日本军队,立刻以中国军队炸毁南满铁路为名,向中国东北军驻地北大营发起进攻。震惊中外的“九·一八”事变就此爆发。 September 18th Incident September 18th Incident On the evening of September 18, 1931, Lieutenant Kawamoto Matomaru of the Kawashima Squadron of the Shimamoto Battalio…
😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🀄️今日聚焦曝光:@a0159 🀄️全球狗推大院:@TGO_N 🀄️头条快报: @bgtgq 🀄️狗推大队: @chigua_u 🀄️华人大事件: @dnyh0 🀄️ 华人社区: @hr036 🀄️黑平台曝光: @heicai_baoguang 🀄️受害者协会: @baoguangtai03 #休闲娱乐 💎 体育赛事推荐: @ty828 体育赛事交流 : @shijiebei518 #吃瓜娱乐 🤨搞笑吃瓜: @chiguagaoxiao58 #二手交易 🎁闲转二手交易: @ershou580 #求职招聘 🌞招聘求职: @zhaopinqiuzhi580 #成人教育 😇 麻豆视频 :@sanji580 ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🀄️ @a0159 今日聚焦曝光 🀄️ @bgtgq 头条快报 🀄️ @dnyh0 华人大事件 🀄️全球狗推大院 @TGO_N 🀄️ 狗推大队 @chigua_u 🀄️ 华人社区 @hr036 #吃瓜娱乐 🤨搞笑吃瓜: @chiguagaoxiao58 #二手交易 🎁闲转二手交易: @ershou580 #求职招聘 🌞招聘求职: @zhaopinqiuzhi580 #成人教育 😇 麻豆视频 :@sanji580 #休闲娱乐 💎 体育赛事推荐: @ty828 ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/E3IecuYZAgxiOGRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/E3IecuYZAgxiOGRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
custom 62804362091351319631custom 62806086907267755461custom 62807829289600364361
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/ujCG0T_8ACRiMmRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
custom 62803598703864136051custom 62804892348013696231custom 62805692801068645531
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/ujCG0T_8ACRiMmRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/ujCG0T_8ACRiMmRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/ujCG0T_8ACRiMmRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/ujCG0T_8ACRiMmRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
#宏盟网 #华人社区 导航 @huanrenshequ 😍 🦪 🌸 🍏 🍰 🐤 😍 😍😍【华人社群】😍😍 💥#新闻曝光 🌐 t.me/addlist/ujCG0T_8ACRiMmRl 😍#吃瓜娱乐 🌐 t.me/+wdjnPtPXBssxYmFk ✅#二手交易 🌐 t.me/+gn5-xmptBggxNmI0 🌞#求职招聘 🌐 t.me/+pjZg3zBdMqRlNzI0 😇#成人教育 🌐 t.me/+pNgUdYlhcIo3MWNi 💎#休闲娱乐 🌐 t.me/+7tusRIQ-HQFhMzlk ➖➖➖➖➖➖➖➖➖➖➖ 👀商务合作:@labi1858
Showing the 12 most recent of 19 posts we hold for @hongmengwang. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
@a0159 · 125,0353 posts狗推大队
@chigua_u · 47,6633 posts全网搞笑吃瓜猎奇
@chiguagaoxiao58 · 78,9893 posts闲转二手交易
@ershou580 · 41,9143 posts华人社区
@hr036 · 42,8773 posts麻豆_天美_精东_果冻_蜜桃
@madoumitouav91 · 43,0863 posts全球狗推大院
@TGO_N · 39,8363 posts头条快报
@ttkb0 · 119,0723 posts体育赛事推荐(宏盟网)
@ty418 · 46,3143 posts华人大事件
@xw181 · 112,6973 posts招聘求职
@zhaopinqiuzhi580 · 41,4193 posts黑平台受害者协会交流群
@baoguangtai03 · 30,9142 posts黑平台曝光
@heicai_baoguang · 49,6202 posts体育赛事交流(宏盟网)
@shijiebei518 · 25,0802 posts四色云电影院
@dianying580 · 37,2971 post
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“华人社区-宏盟网导航” (@hongmengwang), 13,465 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/hongmengwang.
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.