Telegram RegisterThe public register of Telegram
Telegram profile photo for Blockipedia

Channel

Blockipedia

@Blockipediaa

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

2,737subscribers

+891 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-1001714506423
TypeChannel
Usernames@Blockipediaa @Cryptocurrency_head
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 October 2026
Measurements held17
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/Blockipediaa

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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.

Growth

1,6632,7372,2007 August 2026 — 1,846 subscribers7 August 2026 — 1,846 subscribers8 August 2026 — 1,843 subscribers10 August 2026 — 1,829 subscribers14 August 2026 — 1,803 subscribers17 August 2026 — 1,792 subscribers20 August 2026 — 1,751 subscribers24 August 2026 — 1,744 subscribers27 August 2026 — 1,728 subscribers2 September 2026 — 1,704 subscribers8 September 2026 — 1,702 subscribers12 September 2026 — 1,692 subscribers16 September 2026 — 1,685 subscribers2 October 2026 — 1,667 subscribers4 October 2026 — 1,663 subscribers4 October 2026 — 1,663 subscribers8 October 2026 — 2,737 subscribers7 August 20268 October 2026
17 measurements spanning 62 days, net +891. 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 1,502–2,898 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Oct 2026, 02:172,737+1,074
4 Oct 2026, 09:221,663no change
4 Oct 2026, 08:471,663-4
2 Oct 2026, 14:151,667-18
16 Sept 2026, 17:551,685-7
12 Sept 2026, 12:211,692-10
8 Sept 2026, 03:151,702-2
2 Sept 2026, 22:181,704-24
27 Aug 2026, 13:481,728-16
24 Aug 2026, 08:551,744-7
20 Aug 2026, 17:241,751-41
17 Aug 2026, 18:341,792-11
14 Aug 2026, 07:231,803-26
10 Aug 2026, 19:521,829-14
8 Aug 2026, 06:141,843-3
7 Aug 2026, 15:321,846no change
7 Aug 2026, 14:011,846first reading

Engagement

18 posts held, back to 29 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
228.0%
avg views ÷ 2,737 subscribers
Avg views / post
6,240
1 post measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
1
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 September 2026
Posts held18 (29 December 2025 – 19 September 2026)
Views total6,240
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 2026, 09:22 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

Video runtime
2m 40s
Average length
1m 20s

Measured directly from 2 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.

Reaction mix

1,022 reactions across 18 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,022100.0%

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 18 of the 18 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 1,022 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 29 December 2025 to 19 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.

Telegram Stars

Stars received
75
across the posts below
Posts paid on
17
of 18 we hold a reading for · 94%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Blockipediaa. 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 18 most recent posts we hold for this entry, published 29 December 2025 to 19 September 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

19 Sept 2026, 09:14 UTC≈6,240 views9 reactions2 Starsread 4 October 2026
Video

😨Researchers Quit OpenAI and Anthropic Over AI Risks Some researchers at OpenAI and Anthropic have resigned, accusing the companies of pushing AI development too fast. Former Anthropic researcher Jacob Coxon warned: “AI could wipe out humanity within this decade.” Anthropic alignment researcher Evan Hubinger estimated the risk at greater than 10%. This isn’t just about fears of “AI taking jobs.” The concern is tha…

❤9

31 Aug 2026, 07:18 UTC≈4,100 views4 reactions1 Starread 4 October 2026
Photo

🫤Elon Musk's principles for building companies and winning Not every quote from Elon Musk applies to everyone, but these ideas have shaped how he approaches startups, leadership, and execution. 🖱 Take calculated risks • If nothing is failing, you're probably not pushing hard enough. • Most people optimize for avoiding mistakes instead of making progress. • Accept change when the alternative is stagnation. • Start …

❤4

11 Aug 2026, 06:32 UTC≈7,580 views8 reactions2 Starsread 4 October 2026
Photo

📖AI Companies Are Buying Books in Bulk – and Destroying Them 404 Media has published a report raising serious questions about how modern AI companies obtain training data. According to the report, AI companies have begun purchasing vast quantities of old physical books. The reason is simple: books are one of the largest sources of “clean” text written by humans rather than generated by neural networks. Books publi…

❤8

27 Jul 2026, 09:03 UTC≈8,810 views59 reactions2 Starsread 4 October 2026
Photo

👩‍💻 Apollo 11 Moon Landing Code Open Sourced Today marks 57 years since humans first landed on the Moon. The original source code that made it possible is now open source. The code includes 145,000 lines written by Margaret Hamilton and her team for the command module and lunar module. by 🏴Crypto Head

❤59

20 Jul 2026, 12:14 UTC≈3,570 views60 reactions3 Starsread 4 October 2026
Photo

🎰🔥 MACZO FREE SPINS BONUS 🔥🎰 Register today and get 50 FREE SPINS 🎁 Plus, earn 1 FREE SPIN for every 10 USD wagered 💸 ✅ Easy to join ✅ NO KYC ✅ More bets = more Free Spins ✅ Crypto & Fiat supported ✅ Play slots and win real rewards Start spinning now at 👉 @maczo_official_global 👉 maczo.co

❤60

1 Jul 2026, 15:19 UTC≈11,900 views92 reactions3 Starsread 4 October 2026

🤖 Over 1 Million ChatGPT Users Show Signs of Suicide Risk Each Week OpenAI revealed that about 0.15% of ChatGPT’s 800 million weekly users show signs of suicidal planning, while another 0.15% show emotional dependence and 0.07% show signs of psychosis or mania. Those percentages sound small, but they translate to roughly 1.2 million users discussing suicide-related concerns, 1.2 million showing unhealthy attachment…

❤92

10 Jun 2026, 06:02 UTC≈4,080 views64 reactions4 Starsread 4 October 2026
Photo

🤖Anthropic Unveils Fable 5: The Dawn of 'Mythos-Class' Intelligence Anthropic has officially pulled back the curtain on its most formidable AI architecture to date: Claude Fable 5, the flagship release of its new "Mythos-class" models. While Fable 5 is now generally available to the public, Anthropic is keeping its ultimate heavyweight, Mythos 5, restricted to exclusive Glasswing partners for now. According to the …

❤64

24 May 2026, 05:22 UTC≈6,030 views70 reactions4 Starsread 4 October 2026
Photo

🙆‍♂️Elon Musk Loses Lawsuit Against OpenAI and Sam Altman A California jury unanimously dismissed Musk’s case after just two hours of deliberation, ruling that he had filed it too late — the legal deadline had already expired. Musk had donated $38 million to OpenAI when it was still a nonprofit. His argument was simple: he gave money to build AI for the benefit of humanity, not to create a for‑profit company now va…

❤70

27 Apr 2026, 04:44 UTC≈5,630 views72 reactionsread 4 October 2026
Photo

🤖The First Company Destroyed by AI Chegg Inc — an American online education platform built around helping students with homework – was once thriving. 🗓In 2021, its stock traded around $90, marking peak success. 🗓In 2022, ChatGPT arrived. Instead of paying $15–20 per month for Chegg, students could simply ask ChatGPT for free and get instant answers. 👇The result: Chegg’s stock collapsed from $90 to $0.99, losing 9…

❤72

31 Mar 2026, 11:29 UTC≈7,750 views92 reactions3 Starsread 4 October 2026
Photo

🇺🇸🇮🇷WSJ: Trump Ready to End Iran War Even if Strait of Hormuz Stays Closed According to the Wall Street Journal (WSJ), Trump and his advisers have decided to wind down military operations against Iran sooner rather than later. ↔️A full mission to reopen the Strait of Hormuz could extend the war by 4-6 weeks, but Trump reportedly sees this as unnecessary and doesn’t want delays beyond the planned timeline. ↔️His te…

❤92

13 Mar 2026, 13:20 UTC≈4,830 views63 reactions6 Starsread 4 October 2026
Photo

⁉️Why Warren Buffett Avoids Gold and Bitcoin Buffett applies a simple rule to any investment: the ideal asset should generate cash flow over time. For example, companies produce profits (dividends), and real estate generates rental income. But gold and Bitcoin produce nothing — you buy them, and they just sit there. The only way to profit is if someone else buys them later at a higher price. Economists call this t…

❤63

8 Mar 2026, 22:02 UTC≈4,900 views50 reactions4 Starsread 4 October 2026
Video

🤑This Man Printed $250M in His Basement – Served Just 6 Weeks Frank Bourassa didn’t just counterfeit money – he made it better than the government’s own bills. 🔥He spent two years studying every security feature of the $20 bill, even tricking a paper mill into producing the exact cotton‑linen blend used by the U.S. Treasury. 🔥When the Secret Service caught him, he was facing 60 years in prison – but Bourassa had a…

❤50

Showing the 12 most recent of 18 posts we hold for @Blockipediaa. 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.

Forward network

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.

Mentions

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.

Appears in Telegram’s recommendations for other channels

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 — 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 else’s query is independent of having been queried itself.

Crypto Scalp Signals — BTC & ETH Technical Analysis
@crypto_scalp_signals · 30,402
Telegram ranks this channel #10 of 53 here — alongside 52 others — read 7 September 2026
Scholarships & Fellowships
@Scholarg4 · 22,688
Telegram ranks this channel #51 of 69 here — alongside 68 others — read 20 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Blockipedia” (@Blockipediaa), 2,737 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/Blockipediaa.

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.