Channel
@FLLDB
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,602subscribers
-2 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001940380424 |
|---|---|
| Type | Channel |
| Username | @FLLDB |
| Created | Between 1 March 2023 and 18 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/FLLDB |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 06:36 | 2,602 | -3 |
| 9 Aug 2026, 02:31 | 2,605 | +1 |
| 8 Aug 2026, 10:48 | 2,604 | first reading |
5 posts held, back to 18 August 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 29 October 2023. An engagement rate over an empty window would be a number about nothing.
413 reactions across 5 posts, in 11 distinct kinds. The most used accounts for 45.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 187 | 45.3% | |
| 👍 | 106 | 25.7% | |
| 👎 | 51 | 12.3% | |
| 🤡 | 17 | 4.12% | |
| 🤮 | 14 | 3.39% | |
| 🌚 | 12 | 2.91% | |
| 👏 | 10 | 2.42% | |
| 😁 | 8 | 1.94% | |
| 💩 | 5 | 1.21% | |
| 🔥 | 2 | 0.484% | |
| 🥰 | 1 | 0.242% |
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 5 of the 5 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 413reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 18 August 2023 to 29 October 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
广大用户不用去理会外面的胡说八道，都当看看热闹就好了。我们福利来虽然说 没有为广大用户去带来很多自身的盈利。现阶段也一直在努力和改善 争取以后有更多的项目和发展 能和广大用户一起发展 一起共赢。双赢，多赢才是我们想看到。多 关注 @FLLDB 频道里面的置顶信息 都是我们担保平台工作信息。有好的项目发展 也会在 @FULILAIDH 供需发布。没有在 @FULILAIGQ 公群频道里面的公群 都是假的 不要被骗。
👍53❤50👎27🤡16😁6👏2
福利来担保声明： 近期很多担保界的乱象和谣言 本来是不想去搭理以及回应的，福利来担保一直秉承着只看热闹不参与，本本分分做好自己平台的事情。但是一些新的担保平台呢 为了流量以及自身的利益，到处传谣说这个担保怎么了，那个担保怎么了。 炒作和制造舆论带来的流量确实是最快速的，不过最近看到一些阿猫阿狗都蹦跶起来了，实在是看不惯，就来和大家简单说说。 担保是什么？ 所谓的担保就是要给客户用户作为保障，以及服务。 很多人说是不是很赚钱呢？ 那比方说 老牌担保 我们也一直认可的担保界前辈 像汇旺担保这样的平台 人家做了很久了，从柬埔寨的一个钱庄开始做， 打下基础 一步步发展，付出的肯定有回报，他们去赚钱 也是理所当然的，没有人是愿意做慈善的，也要维持一个项目的运作 必定是需要付出以及有回报的。 我们福利来担保有福利来集团百亿资产和各大实体产业在哪里支持着，担保赚不赚钱对我们福利来讲呢 没什么指望，实话实说，真不缺那一星半点。所以担保…
❤63👍17👎11👏4🔥2🥰1
10月1日 担保开启游戏板块入驻，10月份开群的老板 (开群费减半，第一个月佣金减免，第二个月半价佣金）详细 咨询担保总客服 @FLLDBKeFu_bot
❤23👍14🤮14💩5👏2🤡1
福利来担保 成立至今 运营之久，掌握巨大流量。 现诚邀广大用户老板合作运营。 目前开设公群 除担保押金以外，不收取任何佣金月费。为广大用户老板们提供最安全的押金担保。 10月1日 担保开启游戏板块入驻，10月份开群的老板 (开群费减半，第一个月佣金减免，第二个月半价佣金）详细 咨询担保总客服 @FLLDBKeFu_bot
❤11👍3
每天晚上10 点 锁定 @FLLDBZBQ 群 美女在线直播 @FLLYXQ 游戏娱乐群 有PC28 骰子 百万u 秒下分
❤40👍19👎13🌚12👏2😁2
Showing the 5 most recent of 5 posts we hold for @FLLDB. 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.
Citation-graph rank — 459,985 of 1,336,469entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“福利来担保” (@FLLDB), 2,602 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/FLLDB.
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.