#频道互推 #相似推荐 ------------------------------ 📢 小白灰产赚钱项目百科知识 📢 WS实卡接码【绮梦号商】 📢 大头四方实卡接马⚠ 📢 大牛抖音号-抖音【批发】 📢 社工库机器人推荐频道 📢 短信通道 短信群发 106通道 国内短信 📢 【熊猫】bc数据/教育/棋牌/六合/全行业数据 📢 大白 号商 三网 实卡 📢 接码-全球验证码-客户端api 📢 tinder/happn/巴豆/大黄蜂/okc/Boo接 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励

Channel
抖音兼职🅥灰产赚钱项目
@Llseses
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
36,351subscribers
-17,894 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001597008680 |
|---|---|
| Type | Channel |
| Username | @Llseses |
| Description | #项目 #赚钱 #兼职 每天分享互联网赚钱项目,不按头不风控!拒绝割韭菜,只分享正规绿色合法的好项目! |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/Llseses |
Topic
Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 68% 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 |
|---|---|---|
| 10 Nov 2026, 23:50 | 36,351 | -93 |
| 9 Nov 2026, 11:01 | 36,444 | -187 |
| 8 Nov 2026, 01:18 | 36,631 | -326 |
| 7 Nov 2026, 01:06 | 36,957 | -277 |
| 6 Nov 2026, 01:10 | 37,234 | -173 |
| 5 Nov 2026, 02:26 | 37,407 | -109 |
| 3 Nov 2026, 22:55 | 37,516 | -146 |
| 3 Nov 2026, 01:58 | 37,662 | -50 |
| 2 Nov 2026, 03:49 | 37,712 | -327 |
| 1 Nov 2026, 04:01 | 38,039 | -301 |
| 31 Oct 2026, 06:36 | 38,340 | -820 |
| 30 Oct 2026, 07:51 | 39,160 | -524 |
| 29 Oct 2026, 09:06 | 39,684 | -732 |
| 28 Oct 2026, 05:17 | 40,416 | -497 |
| 27 Oct 2026, 03:04 | 40,913 | -1,104 |
| 26 Oct 2026, 00:08 | 42,017 | -239 |
| 24 Oct 2026, 21:50 | 42,256 | -862 |
| 23 Oct 2026, 21:20 | 43,118 | -464 |
| 23 Oct 2026, 00:31 | 43,582 | -1,098 |
| 22 Oct 2026, 00:05 | 44,680 | first reading |
Engagement
79 posts held, back to 23 June 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 199 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.208%
- avg views ÷ 36,351 subscribers
- Avg views / post
- 75.7
- 21 posts measured
- Reaction rate
- 0.224%
- reactions ÷ views · ER floor
- Posts in window
- 26
- of 79 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 3 of 21 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 | 79 (23 June 2026 – 8 November 2026) |
| Views total | 1,590 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 00:23 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
- Links
- 239
Lifetime counters from Telegram’s own channel header, read 12 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
19 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 78.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 78.9% | |
| 👍 | 3 | 15.8% | |
| 🤔 | 1 | 5.26% |
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 12 of the 79 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 23 June 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: 0 of 26 posts held from the last 30 days (0%) 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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抖音兼职🅥灰产赚钱项目 pinned a photo
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❤1
Showing the 12 most recent of 79 posts we hold for @Llseses. 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 5 posts on @Llseses 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
- 2 September 2026
- Most recent seen missing
- 9 September 2026
- Median time before seen missing
- 2 days
- Seen missing in the last 30 days
- 0
Mentions
Named by 11 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.
@ceshisousuo123 · 531 post超凡国际娱乐 素材群
@CFGJheying · 2291 post电报引流|持续增粉
@dghahahg5674542 · 581 post【情报局查档】老牌查档/司法/定位/流水/开同/户籍👨✈️
@dvadwasfasf · 1,9081 post电报低成本引流|高质量增粉
@gnshgrabrau56386 · 411 postcoser|花兮_honoka
@honakahuaxi · 1301 post欧博代理 欧博私网 亚星代理 亚星私网
@oubo6699 · 11,0931 post📰 滚动快报
@ScrollNew · 951 postTGRSS 总频道🔥Telegram 最全能的内容矩阵!
@tgrss · 5,2111 post💎新马泰大事件|热点新闻|实时曝光
@xinjiapo199 · 6011 post亚星代理 欧博代理 亚星私网 欧博私网
@yaxing6666 · 12,2061 post
Names
Channels on the register whose handles appear in this channel's posts.
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
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@Llseses named 1 handle 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 3 posts, 5 November 2026 – 7 November 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“抖音兼职🅥灰产赚钱项目” (@Llseses), 36,351 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Llseses.
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.