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Channel
帮你回家导航站
@bangnihuijia
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
32,991subscribers
+6,203 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 | -1003262622624 |
|---|---|
| Type | Channel |
| Username | @bangnihuijia |
| Description | 旨在帮助从11月开始tg大规模的频道封禁潮下,没加防失联的同学回家。 |
| Created | Between 1 October 2025 and 30 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/bangnihuijia |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 01:07 | 32,991 | +97 |
| 6 Nov 2026, 20:49 | 32,894 | +88 |
| 5 Nov 2026, 23:26 | 32,806 | +129 |
| 5 Nov 2026, 00:46 | 32,677 | +79 |
| 3 Nov 2026, 21:27 | 32,598 | +114 |
| 3 Nov 2026, 00:08 | 32,484 | +110 |
| 2 Nov 2026, 00:18 | 32,374 | +123 |
| 1 Nov 2026, 01:36 | 32,251 | +128 |
| 31 Oct 2026, 03:19 | 32,123 | +158 |
| 29 Oct 2026, 23:51 | 31,965 | +103 |
| 29 Oct 2026, 01:49 | 31,862 | +126 |
| 27 Oct 2026, 21:20 | 31,736 | +103 |
| 26 Oct 2026, 20:05 | 31,633 | +158 |
| 25 Oct 2026, 19:06 | 31,475 | +120 |
| 24 Oct 2026, 16:57 | 31,355 | +136 |
| 23 Oct 2026, 14:00 | 31,219 | +70 |
| 22 Oct 2026, 15:35 | 31,149 | +80 |
| 21 Oct 2026, 10:47 | 31,069 | +105 |
| 20 Oct 2026, 05:59 | 30,964 | +91 |
| 19 Oct 2026, 06:35 | 30,873 | first reading |
Engagement
95 posts held, back to 30 January 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 155 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.06%
- avg views ÷ 32,991 subscribers
- Avg views / post
- 1,670
- 31 posts measured
- Reaction rate
- 0.238%
- reactions ÷ views · ER floor
- Posts in window
- 31
- of 95 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 25 of 31 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 95 (30 January 2026 – 8 November 2026) |
| Views total | 51,790 |
| Reactions total | 108 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 21:38 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
- 1
- Links
- 90
Lifetime counters from Telegram’s own channel header, read 8 November 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.
Reaction mix
1,526 reactions across 67 posts, in 22 distinct kinds. The most used accounts for 69.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,054 | 69.1% | |
| 👍 | 168 | 11.0% | |
| 😭 | 63 | 4.13% | |
| 😱 | 62 | 4.06% | |
| 👎 | 28 | 1.83% | |
| 😁 | 22 | 1.44% | |
| 🤣 | 22 | 1.44% | |
| 🖕 | 21 | 1.38% | |
| 🙏 | 20 | 1.31% | |
| 🫡 | 10 | 0.655% | |
| 🔥 | 9 | 0.59% | |
| 👏 | 8 | 0.524% | |
| 🥰 | 7 | 0.459% | |
| 😢 | 6 | 0.393% | |
| ❤🔥 | 5 | 0.328% | |
| 😨 | 5 | 0.328% | |
| 🤝 | 5 | 0.328% | |
| 🌚 | 4 | 0.262% | |
| 💔 | 3 | 0.197% | |
| 😘 | 2 | 0.131% | |
| 2 further kinds | 2 | 0.131% |
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 72 of the 95 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 1,526 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 95 most recent posts we hold, published 30 January 2026 to 8 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 31 posts held from the last 30 days (3.23%) 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).
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Showing the 12 most recent of 95 posts we hold for @bangnihuijia. 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
@bangnihuijia edited 5 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
- 20 August 2026
- Most recent edit
- 11 October 2026
Posts recorded as deleted after publishing
We recorded 4 posts on @bangnihuijia 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
- 9 August 2026
- Most recent seen missing
- 12 August 2026
- Median time before seen missing
- 30 hours
- Seen missing in the last 30 days
- 0
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.
Names
Channels on the register whose handles appear in this channel's posts.
@ExposureMarketBot · 70,54378 postssankaku分享群
@Sankaku0 · 8614 posts媚黑淫妻|黑人BBC
@BBCyinqishipin · 24,1572 postsBlacked媚黑电台
@bnwoworldradio · 10,9832 postsEleven严选防空洞(防失联)
@Elevenshelter · 712 posts媚黑NTR漫画库♠️
@meiheimanhua · 78,0572 posts媚黑音声|成人小说|淫词艳曲
@meiheiyinsheng · 32,5032 posts没有抽象段子的无聊世界
@OGCrz · 5802 posts媚黑资源库(四周目)
@qingjibbcqos4 · 69,5982 posts色色中转站
@sumeru6 · 7,0392 posts射精调教 寸止
@cunzhi · 8,2011 postDanbooru [SFW]
@danbooru_sfw · 9,9871 post夜夜子的公告板
@EyeAdminBBS · 1,0341 post极东魔术昼寝结社之夏 S2-大压抑时代
@kesshanonatsu2 · 2,6591 post填词.mp4 復活原2d填词自用
@kingofyoumiusc · 8531 post⛩ 灵梦御所 入口 ⛩
@lmys88 · 23,5351 post更新随缘
@myzysd · 2301 postSexy色色表情包【防丢失中转】
@sese_GIF · 2,1911 post男娘coserの涩涩小屋
@suamimparthut · 25,7741 post祂录lze目录群
@talulze · 53,1401 post小小小小仓库#NSFW#公告板
@XIAOBOXGG · 6371 post♠️小梦绿苒庄♠️
@xiaomengBBC66 · 7,7681 postpwe 抖音风止寸剪辑
@xkjdz66 · 23,3261 postZYZY 自助&教程
@ZYZYZDFK · 7,2181 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.
Handles this channel named that no longer answer
- Dead references
- 17
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 5
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 12
- vacant every time we have ever looked
@bangnihuijia named 17 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 18 posts, 8 August 2026 – 21 September 2026 · confirmed gone 25 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 11 posts, 20 September 2026 – 4 November 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 10 posts, 8 August 2026 – 8 November 2026 · confirmed gone 13 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 4 posts, 8 August 2026 – 11 August 2026 · confirmed gone 26 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 3 posts, 7 October 2026 – 23 October 2026 · confirmed gone 30 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 30 posts, 8 August 2026 – 4 November 2026
named in 22 posts, 8 August 2026 – 4 November 2026
named in 22 posts, 8 August 2026 – 4 November 2026
named in 22 posts, 8 August 2026 – 4 November 2026
named in 13 posts, 8 August 2026 – 4 September 2026
named in 12 posts, 8 August 2026 – 21 September 2026
named in 10 posts, 8 August 2026 – 8 November 2026
named in 8 posts, 8 August 2026 – 23 October 2026
named in 8 posts, 8 August 2026 – 21 August 2026
named in 8 posts, 8 August 2026 – 21 August 2026
named in 5 posts, 8 August 2026 – 16 August 2026
named in 4 posts, 8 August 2026 – 11 August 2026
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“帮你回家导航站” (@bangnihuijia), 32,991 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/bangnihuijia.
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.