Telegram RegisterThe public register of Telegram

Channel

Padma

@padma_ooo

2 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

2,068subscribers

-94 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002637068219
TypeChannel
Usernames@padma @padma_ooo
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/padma_ooo

Topic

Other / unclassifiable — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 51% 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@padma_ooo/112 · this entry24 Feb 2026, 18:44 UTC@cryptopadma/200824 Feb 2026, 19:25 UTC1.0041 minutes
@padma_ooo/115 · this entry4 Mar 2026, 12:41 UTC@cryptopadma/20104 Mar 2026, 19:08 UTC1.006.5 hours
@padma_ooo/118 · this entry8 Mar 2026, 19:00 UTC@cryptopadma/20128 Mar 2026, 19:32 UTC1.0032 minutes
@padma_ooo/121 · this entry10 Mar 2026, 13:40 UTC@cryptopadma/201510 Mar 2026, 14:24 UTC1.0043 minutes
@padma_ooo/122 · this entry12 Mar 2026, 18:55 UTC@cryptopadma/201613 Mar 2026, 08:36 UTC1.0014 hours
@padma_ooo/123 · this entry14 Mar 2026, 16:52 UTC@cryptopadma/201915 Mar 2026, 08:37 UTC1.0016 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cryptopadma13 (8/8 hand-verifiable sample passed)1.0049 minutesthis entry (130)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 17 February 2026 to 15 May 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @padma_ooo — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

2,0682,1622,1157 August 2026 — 2,162 subscribers7 August 2026 — 2,158 subscribers7 August 2026 — 2,150 subscribers10 August 2026 — 2,070 subscribers10 August 2026 — 2,068 subscribers7 August 202610 August 2026
5 measurements spanning 4 days, net -94. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,054–2,176 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 17:342,068-2
10 Aug 2026, 14:382,070-80
7 Aug 2026, 21:312,150-8
7 Aug 2026, 16:522,158-4
7 Aug 2026, 04:312,162first reading

Engagement

20 posts held, back to 17 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof 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 20 posts for this entry, the most recent from 15 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
9s
Average length
9s

Measured directly from 1 video 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.

Reaction mix

1,045 reactions across 20 posts, in 14 distinct kinds. The most used accounts for 17.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17917.1%
👍17716.9%
🔥14714.1%
🥰969.19%
🎉959.09%
💯898.52%
❤‍🔥888.42%
🤩837.94%
😍797.56%
70.67%
🤗20.191%
10.096%
👏10.096%
😇10.096%

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 20 of the 20 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 1,045reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 17 February 2026 to 15 May 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @padma_ooo. 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 20 most recent posts we hold for this entry, published 17 February 2026 to 15 May 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.

Recent posts

15 May 2026, 06:42 UTC≈2,640 views184 reactionsread 7 August 2026
Photo

⚠️ We are performing scheduled maintenance on PADMA servers. For the next few days, the website and related services will be unavailable. This is part of an infrastructure upgrade - we are improving stability, speed, and reliability across the platform. What is affected: ⚡️ PADMA website ⚡️ Related web services What is not affected: 📈 User funds and data - fully secure 📈 On-chain token - operates without interrupt

🤩25🔥23🥰23💯22🎉21👍21❤‍🔥2016

24 Apr 2026, 13:57 UTC≈2,710 views285 reactionsread 7 August 2026
Photo

🥰📡 PADMA upgrade - live! New mechanics are now running. X | Telegram | YouTube | padma.ooo 💰 Padma BOT

👍37❤‍🔥36💯35🤩31🥰30🔥29😍2928

23 Apr 2026, 10:22 UTC≈2,680 views293 reactionsread 7 August 2026
Video

🥰 System Upgrade - in the coming days Are you ready for the next stage of ecosystem development? The system upgrade will take place in the coming days. Improvements: ⛏️ Mining: now without restrictions, no vesting. Mined rewards are available immediately. 🪙 xPAD - a new token for mining and utility. 🟢 Next stage - logarithmic algorithm: mining PAD from xPAD. Mining becomes more complex → value increases 🟢 Fixed x

42🎉38👍38🔥37🥰33😍31❤‍🔥27💯26

10 Apr 2026, 16:00 UTC≈2,250 views66 reactionsread 7 August 2026
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💰 IMPORTANT UPDATE OF THE PADMA ECOSYSTEM! We are entering a new stage of development - with a more sustainable economy, new income streams, and a strengthened growth model. 1⃣🥰 New Product: AI Trading Assistant We are launching our own AI trading assistant, built on a system of intelligent agents. This is an in-ecosystem tool that allows users to earn up to 25% returns through neural network–driven asset manageme

🔥12👍108🎉8🤩6🥰6😍6❤‍🔥5

10 Apr 2026, 12:43 UTC≈1,760 views7 reactionsread 7 August 2026
Photo

🌐📱 Liquidity Layers: How Liquidity Actually Moves Between Chains Most people think liquidity moves between chains. In reality, it doesn’t - it gets locked, duplicated, and scattered across networks. That’s why capital in Web3 looks big, but rarely works as a single system. 📈 Padma is built differently. Liquidity here isn’t something you move around, it’s something the system generates, structures, and reuses by de

2👍2🔥21

1 Apr 2026, 03:14 UTC≈1,910 views14 reactionsread 7 August 2026
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🗓🥰 Padma: Private Zoom Sessions Continue Padma continues operating in a private working format. All sessions are conducted as individual Zoom meetings, focused on: ⚡️ personal Q&A ⚡️ technical guidance ⚡️ structure and system walkthroughs Sessions are held on demand, without fixed scheduling. 📩 To request a session: @padma_vip_support X | Telegram | YouTube | padma.ooo 💰 Padma BOT

👍93🔥2

27 Mar 2026, 04:02 UTC≈1,930 views13 reactionsread 7 August 2026
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🥰📰 Padma in the Spotlight: Featured by AInvest Another major media outlet has turned its attention to the Padma ecosystem. In a new publication by AInvest, Padma is highlighted among the projects shaping the next generation of Web3 ecosystems - where digital economies move beyond speculation toward structured participation. The article explores how Padma introduces a different model of value creation: ⚡️ structure

8👍3🔥2

24 Mar 2026, 03:58 UTC≈1,890 views16 reactionsread 7 August 2026
Photo

Why Beginners Lose Money: Emotional Mistakes That Repeat Most beginner losses aren’t about charts or indicators - they’re about emotions. FOMO is the classic trap. Price spikes, beginners buy the top, a small pullback follows, panic kicks in - position closed at a loss. Another one is averaging down. Price keeps falling, position gets bigger, risk gets ignored. Then stop-losses start moving. What was a controlled r

👍9🔥43

14 Mar 2026, 16:52 UTC≈1,490 views17 reactionsread 7 August 2026

🔐💾 How to Access Your Padma Back Office After the BSC Migration The Padma ecosystem now operates on 🔶 BNB Smart Chain (BSC). The core system infrastructure has already been tested and calibrated, and the platform is now completing the final calibration of additional modules. To access your Back Office, simply switch the network in your wallet to BNB Smart Chain (BSC) and log in as usual. For your convenience, we’

5👍5🔥32🤗2

12 Mar 2026, 18:55 UTC≈1,390 views18 reactionsread 7 August 2026
Photo

🏦🥰 Padma Ecosystem Now on BSC! 🔸 The platform infrastructure has been successfully migrated to the BNB Smart Chain (BSC) blockchain. This is an important milestone in the development of the ecosystem, making the system more accessible and opening opportunities for integration with popular crypto tools, which we will announce soon. 🔸 At this moment, all user data has already been transferred, and you can access your

👍9🔥43🥰1😇1

10 Mar 2026, 13:40 UTC≈1,260 views16 reactionsread 7 August 2026
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🥰📰 BusinessNewsWeek: Padma Featured in Global Web3 Industry Analysis A new publication by BusinessNewsWeek highlights the Padma ecosystem in a comparative analysis of leading Web3 platforms. In the research, Padma appears alongside major Web3 projects such as Decentraland and The Sandbox, examining audience growth potential and the evolution of earning models across digital ecosystems. The article explores how Pad

9👍4🔥21

10 Mar 2026, 07:00 UTC≈1,140 views12 reactionsread 7 August 2026
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🚀 System Migration in Progress The system is currently temporarily suspended as the migration of the Padma ecosystem to the new blockchain — BSC (Binance Smart Chain) — has begun. The transition may take from several hours up to a few days. Our team is working to complete the migration as quickly as possible. ⛏️ Once the process is finished, the platform will resume normal operation. ➡️ Please follow our official

7👍3🔥2

Showing the 12 most recent of 20 posts we hold for @padma_ooo. 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

Citation-graph rank — 143,545 of 1,151,006entries 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.

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.

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.

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 August 2026 — this entry's latest reading, not the date you are reading this.

“Padma” (@padma_ooo), 2,068 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/padma_ooo.

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.