Reward end tomorrow 6AM again เฆฏเฆพเฆฐเฆพ paisen 30h เฆเฆฃเงเฆเฆพเฆฐ เฆฎเฆงเงเฆฏเง Reward Hub เฆ เฆชเงเฆฏเฆผเง เฆฏเฆพเฆฌเงเฆจ
โคโ๐ฅ3โค2๐ฅ1

Channel
@BD_INCOME_TECH
On this record: Topic ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Posts edited after publishing ยท Citations ยท Handles named that no longer answer ยท Telegram's recommendations ยท Cite this entry
20,792subscribers
-985 since we began measuring on 10 August 2026
Risers and fallers across the register ยท movement among entries of 10,000โ31,623.
| Telegram ID | -1002047195238 |
|---|---|
| Type | Channel |
| Username | @BD_INCOME_TECH |
| Created | Between 1 November 2023 and 31 May 2024 โ estimated from Telegramโs id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/BD_INCOME_TECH |
Marketing & affiliate โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 63% confidence. This is a modelโs 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 โ 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:41 | 20,792 | -47 |
| 16 Sept 2026, 01:21 | 20,839 | -16 |
| 14 Sept 2026, 09:18 | 20,855 | -53 |
| 12 Sept 2026, 19:18 | 20,908 | -64 |
| 10 Sept 2026, 19:17 | 20,972 | -82 |
| 7 Sept 2026, 18:38 | 21,054 | -72 |
| 4 Sept 2026, 20:57 | 21,126 | -37 |
| 3 Sept 2026, 02:25 | 21,163 | -44 |
| 1 Sept 2026, 23:35 | 21,207 | -27 |
| 1 Sept 2026, 01:05 | 21,234 | -17 |
| 31 Aug 2026, 00:14 | 21,251 | -34 |
| 29 Aug 2026, 23:19 | 21,285 | -35 |
| 28 Aug 2026, 20:03 | 21,320 | -30 |
| 27 Aug 2026, 22:06 | 21,350 | -22 |
| 27 Aug 2026, 01:03 | 21,372 | -14 |
| 26 Aug 2026, 02:27 | 21,386 | -42 |
| 25 Aug 2026, 00:57 | 21,428 | -29 |
| 23 Aug 2026, 16:26 | 21,457 | -55 |
| 22 Aug 2026, 03:57 | 21,512 | -28 |
| 20 Aug 2026, 20:03 | 21,540 | first reading |
146 posts held, back to 7 August 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 52 pages of Telegramโs 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) รท views โ note the denominator is views, not subscribers. Telegramโs 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 62 of 63 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days ยท latest post in window 3 September 2026 |
|---|---|
| Posts held | 146 (7 August 2026 โ 3 September 2026) |
| Views total | 36,676 |
| Reactions total | 573 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 3 Sept 2026, 16:59 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
1,318 reactions across 145 posts, in 11 distinct kinds. The most used accounts for 33.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 441 | 33.5% | |
| ๐คฃ | 226 | 17.1% | |
| ๐ฅ | 195 | 14.8% | |
| โคโ๐ฅ | 149 | 11.3% | |
| ๐ข | 96 | 7.28% | |
| ๐ | 84 | 6.37% | |
| ๐ฑ | 34 | 2.58% | |
| ๐ฅฐ | 34 | 2.58% | |
| ๐ฏ | 24 | 1.82% | |
| ๐ | 21 | 1.59% | |
| ๐ | 14 | 1.06% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 145 of the 146 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 1,318 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 146 most recent posts we hold, published 7 August 2026 to 3 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.
Reward end tomorrow 6AM again เฆฏเฆพเฆฐเฆพ paisen 30h เฆเฆฃเงเฆเฆพเฆฐ เฆฎเฆงเงเฆฏเง Reward Hub เฆ เฆชเงเฆฏเฆผเง เฆฏเฆพเฆฌเงเฆจ
โคโ๐ฅ3โค2๐ฅ1
4$ kop done fee only 0.5$
โค2โคโ๐ฅ2๐ฅ1
https://www.binance.com/activity/chance/south-asia-us-stocks-megafest?ref=GRO_100022482_YILGT Complete Task spin fast
โค2โคโ๐ฅ2๐ฅ2
Disilo kichu paisen? ๐
๐ข4โค1๐1๐ฑ1
๐Binance X Meme Bstock AMA ๐Reward 1600 $FORM Redpack โก๏ธAMA Link: https://app.binance.com/uni-qr/cspa/45241279163242?r=10357 BD Time: Today 6 PM โฐ๐ฅ
๐ฅฐ4๐3๐ฅ2
Ami gari nia ber hole police mmh ๐
๐8โค2๐1
เฆเฆพเฆเฆพ เฆฅเฆพเฆเฆฒเง เฆเฆฟ เฆจเฆพ เฆนเฆฏเฆผ ๐
๐14๐1
End fcfs 1k complete
โค1โคโ๐ฅ1๐ฅ1
1.5$ fcfs 1k user ๐ฅ
โค2โคโ๐ฅ1๐ฅ1
๐ XIID FCFS 300 $XIID (1.5$) Accunt Create link : https://xclass.xiiid.ai/referral/rUxjHvvsEYNmNgFfTC7pCI8ef0v2 From Link : https://tally.so/r/814xyl Tweet link : https://x.com/xiiid_official/status/2095061988640759850 Listen voice ๐ซด
โค3โคโ๐ฅ2๐ฅ1
๐ VERV 10+20 USDT Staking Airdrop Rewards Now Live! The VERV 30% Staking Airdrop campaign has entered a critical final push! ๐ฅ Rewards have been significantly upgraded for this roundโearn extra USDT by staking *and* inviting friends! ๐ Staking Rewards ๐ฐ 100 USDT โ Initial Stake: 5 USDT | Referral: 5 USDT ๐ฐ 500 USDT โ Initial Stake: 10 USDT | Referral: 7 USDT ๐ฐ 1,000 USDT โ Initial Stake: 20 USDT | Referral: 10 USDTโฆ
โค2๐ฅ2โคโ๐ฅ1
After 3 day complete must give your uid in my id : @sohidol_eth ( for payment procces ) โ Offar ongoing 20$ par account : https://t.me/BD_INCOME_TECH/16200
โค3โคโ๐ฅ1๐ฅ1
Showing the 12 most recent of 146 posts we hold for @BD_INCOME_TECH. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
@BD_INCOME_TECH edited 2 posts after it first published โ 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 โ this register can tell you the wording changed and when, not why. How this is measured.
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.
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 โ 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 โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@BD_INCOME_TECH named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handleโs history โ 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 โ not that anything โdiedโ. How this is measured.
References a handle that is not a live channel โ we have no record it ever was one.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly โ each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone elseโs query is independent of having been queried itself.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegramโs list for THAT channel, not this one โ see how this is measured.
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 September 2026 โ this entry's latest reading, not the date you are reading this.
โ๐๐ ๐ถ๐ป๐ฐ๐ผ๐บ๐ฒ ๐ง๐ฒ๐ฐ๐ต ๐ธโ (@BD_INCOME_TECH), 20,792 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/BD_INCOME_TECH.
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 ยท 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.