🎁如果你能理解这个,那你就能够知道做任何模式的必要因素 人和人差的只是思维的层次,所以请诸君加油!赚钱多多!
💩5❤2

Channel
@jhbdk
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
32,238subscribers
-3,229 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002607022440 |
|---|---|
| Type | Channel |
| Usernames | @jhbdj @jhbdk @Qing99820 @qingip |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/jhbdk |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 23:44 | 32,238 | -256 |
| 18 Aug 2026, 17:35 | 32,494 | -655 |
| 17 Aug 2026, 23:44 | 33,149 | -124 |
| 17 Aug 2026, 21:17 | 33,273 | -52 |
| 17 Aug 2026, 18:18 | 33,325 | -219 |
| 16 Aug 2026, 21:48 | 33,544 | -22 |
| 16 Aug 2026, 17:47 | 33,566 | +3 |
| 16 Aug 2026, 16:57 | 33,563 | -18 |
| 15 Aug 2026, 13:15 | 33,581 | -38 |
| 15 Aug 2026, 00:33 | 33,619 | -7 |
| 14 Aug 2026, 22:34 | 33,626 | +34 |
| 14 Aug 2026, 01:55 | 33,592 | -1,014 |
| 13 Aug 2026, 19:04 | 34,606 | +823 |
| 13 Aug 2026, 18:06 | 33,783 | -754 |
| 12 Aug 2026, 20:03 | 34,537 | -69 |
| 12 Aug 2026, 18:23 | 34,606 | -39 |
| 11 Aug 2026, 22:42 | 34,645 | +10 |
| 11 Aug 2026, 20:46 | 34,635 | +41 |
| 11 Aug 2026, 00:21 | 34,594 | -6 |
| 10 Aug 2026, 22:08 | 34,600 | first reading |
53 posts held, back to 11 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 10 pagesof Telegram’s post history, 20 posts per page.
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 46 of 52 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 August 2026 |
|---|---|
| Posts held | 53 (11 August 2026 – 18 August 2026) |
| Views total | 80,791 |
| Reactions total | 604 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 12:54 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.
Measured directly from 6 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.
604 reactions across 44 posts, in 24 distinct kinds. The most used accounts for 59.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 360 | 59.6% | |
| ❤ | 66 | 10.9% | |
| 👍 | 62 | 10.3% | |
| 🤡 | 21 | 3.48% | |
| 🖕 | 19 | 3.15% | |
| 🤮 | 17 | 2.81% | |
| 🔥 | 10 | 1.66% | |
| custom 5454015129072966180 | 6 | 0.993% | |
| custom 5456441785595206330 | 5 | 0.828% | |
| custom 5463032631954250729 | 4 | 0.662% | |
| 🍾 | 4 | 0.662% | |
| 🎉 | 4 | 0.662% | |
| 👌 | 4 | 0.662% | |
| 🍌 | 3 | 0.497% | |
| 👀 | 3 | 0.497% | |
| 👎 | 3 | 0.497% | |
| custom 5458681293212490944 | 2 | 0.331% | |
| ☃ | 2 | 0.331% | |
| ❤🔥 | 2 | 0.331% | |
| 💯 | 2 | 0.331% | |
| 4 further kinds | 5 | 0.828% |
Custom emoji. 4 of the rows above are 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 areTelegram’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 46 of the 53 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 604reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 11 August 2026 to 18 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jhbdk. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 53 most recent posts we hold for this entry, published 11 August 2026 to 18 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🎁如果你能理解这个,那你就能够知道做任何模式的必要因素 人和人差的只是思维的层次,所以请诸君加油!赚钱多多!
💩5❤2
今年中秋回家吗? 今日韩股分享: 010120 LS ELECTRIC
❤2💩2🔥1
🥰很多家人经常问我要各种话术,这种一看就是属于比较懒,不懂得动脑 话术首先都是人写出来的,前人栽树 后人乘凉而已,作为新时代青年要学会创新,改革,才能加速成功 例如你想做商城,首先去网络上找曝光的案例,能够被曝光的都是优秀的,在案例中找到框架流程,然后确定需要的物料工具,粉,台子,通道,再去研究话术,角色分配,话术是在不停的测试,补齐,能够成交的都是好话术 要学会大脑模拟,同时对模拟得出的各种客户问题就行补齐,话术就完善了 今天就讲解到这里,希望各位家人一定把脑子用起来,不然会生锈的!
💩3❤1
星星 我操你的奶
💩4❤2
晴晴人老实话不多
💩10👍1
我说实话 兄弟们
💩7
无名小辈 只能靠点小技能维持生计
💩24🖕4
#付费广告 球速真人盘 ❗️大额出款无忧❗️ 东南亚顶流线上博彩平台👍👍👍👍 😀😀😀😀美 · 加 · 墨 🌟🌟🌟 球速体育2023年在东南亚大事件上押500000USDT押金 #东南亚顶级高爆电子台!😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌 USDT存出款,东南亚盘总首选U台👍不限ip 提款无上限! 😍全网PG最高爆奖记录没有之一:PG麻将用88万赢到1840万是什么感受? 刷新全网最高历史记录❗️👈点击查看 球速体育17年老品牌台子 电子百家乐 0风控 包出款 首存优惠活动:首存500人民币送188人民币 首存1000人民币送300 首存3000人民币送500 注册网址: 2525qs.cc 首存活动找客服专员小咪领取 ➡️福利频道: @qs255 💬客服专员: @xiaomi1178 🥹 🐖注册网址: 2525qs.cc 👈
兄弟们 都在哪个战区呢?
💩4
Photo, posted without a caption
❤1
Photo, posted without a caption
💩1
随机抽猪脚饭
❤5🔥4💩1
Showing the 12 most recent of 53 posts we hold for @jhbdk. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 158,200 of 1,550,164entries 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.
Named by 5 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.
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.
@jhbdk 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.
References a handle that is not a live channel — we have no record it ever was one.
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 18 August 2026 — this entry's latest reading, not the date you are reading this.
“江湖宝典(@jhbdk)” (@jhbdk), 32,238 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/jhbdk.
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.