About investments without noise.
For those who want to understand, not get lost.
News, analysis, lifehacks, education and the editorial team’s personal opinions—without any unnecessary hype.
Created
Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Crypto & trading — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 71% 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)
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 1 July 2026 to 6 August 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 @clear_feed_media — 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.
34 measurements spanning 42 days, net -37,767. 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 502,451–551,548 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
17 Sept 2026, 09:01
508,116
-1,658
15 Sept 2026, 07:40
509,774
-1,913
13 Sept 2026, 14:38
511,687
-1,672
11 Sept 2026, 20:20
513,359
-1,997
9 Sept 2026, 09:36
515,356
-3,185
6 Sept 2026, 00:19
518,541
-2,126
3 Sept 2026, 18:18
520,667
-1,076
2 Sept 2026, 13:16
521,743
-1,064
1 Sept 2026, 11:49
522,807
-957
31 Aug 2026, 13:15
523,764
-816
30 Aug 2026, 13:38
524,580
-1,088
29 Aug 2026, 15:06
525,668
-652
28 Aug 2026, 17:13
526,320
-994
27 Aug 2026, 17:43
527,314
-622
26 Aug 2026, 16:23
527,936
-1,100
25 Aug 2026, 13:33
529,036
-854
24 Aug 2026, 13:14
529,890
-1,552
22 Aug 2026, 23:43
531,442
-1,387
21 Aug 2026, 13:46
532,829
-1,139
20 Aug 2026, 09:56
533,968
first reading
Engagement
38 posts held, back to 1 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.74%
avg views ÷ 508,116 subscribers
Avg views / post
3,760
12 posts measured
Reaction rate
0.046%
reactions ÷ views · ER floor
Posts in window
12
of 38 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. It is computed over the 11 of 12 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 18 September 2026
Posts held
38 (1 July 2026 – 18 September 2026)
Views total
45,110
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 06:41 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
Photos
315
Videos
71
Links
357
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
136 reactions across 34 posts, in 8 distinct kinds. The most used accounts for 84.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
115
84.6%
👍
6
4.41%
🔥
5
3.68%
🤝
4
2.94%
😁
3
2.21%
😍
1
0.735%
🤩
1
0.735%
🥰
1
0.735%
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 36 of the 38 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 143 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 1 July 2026 to 18 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
1
across the posts below
Posts paid on
1
of 38 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @clear_feed_media. 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 38 most recent posts we hold for this entry, published 1 July 2026 to 18 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.
#comparison_of_assets
“Bitcoin vs. Gold: two ‘safe-haven’ assets—what’s the difference?”
Both are considered a hedge against inflation. Both have a limited supply. Both are popular among investors who don’t trust traditional finance.
But there are fundamental differences between them—and it’s important to understand them before making a choice.
A brief overview of each
🟡 Gold — a physical metal with a millennia-lo…
#what_affects_price
“What is the Bitcoin halving and how does it affect the price?”
Every few years, the Bitcoin world experiences an event that everyone discusses long before it happens. Some see it as a catalyst for growth. Others view it as an overhyped phenomenon.
What is the halving and why is it important? Let’s break it down.
🟠 How new Bitcoins are created
Bitcoin isn’t “printed” like regular money. New coi…
#bookshelf
“Rich Dad, Poor Dad”: The main idea in 5 minutes
Probably the most famous book on finance of the past 30 years. Over 40 million people worldwide have read it. But do you know what it’s really about?
Spoiler: It’s not about how to get rich quick.
📖 What the book is about
Robert Kiyosaki tells the story of two fathers—his own and his friend’s. The first is educated, with a stable job and a good salary. Th…
#investing_myths
“You have to wait for the perfect moment to enter the market”: debunking the myth
“I'll get in when the market stabilizes.”
“I'll buy when it drops a little more.”
“I'll wait for a better moment.”
If you've ever said something like this — this post is for you.
💁♂️ Where does this myth come from?
The logic seems sound: why buy now if you can buy cheaper later? Why take a risk if the market is unst…
#investing_from_0
“How to read a price chart: basic Concepts for Beginners”
A price chart is the first thing you see when you open any trading platform. And it’s the first thing that leaves most beginners feeling confused.
Let’s break down the basic concepts—without overcomplicating things.
What Is a candlestick chart?
The most common type of chart is the candlestick chart. Each “candlestick” shows price movement…
#news
💳 Revolut will launch its own stablecoin, EURR, pegged to the euro, which is backed by reserves on a 1:1 basis and complies with MiCA requirements.
▪ Issuer: Bridge (Stripe), licensed as a CASP.
▪ Initial launch: Denmark, Poland, and Portugal, followed by a rollout across the EU.
▪ Technology: Ethereum and Polygon, with instant transfers without intermediary banks.
Telegram | X (Twitter) | TikTok
#investors_glossary
“What Is market capitalization and why is it important?”
You’ve probably seen this term when looking at a list of cryptocurrencies or stocks. Market cap—or market capitalization—is one of the first figures you should learn to read.
🤔 What is it?
Market capitalization is the total value of all outstanding units of an asset at the current price.
The formula is simple:
Price × Number of units in c…
#partnership #opportunity
After a short break, we have some great news for you!
We’ve become an official partner of WhiteBIT — Europe’s largest crypto exchange by traffic.
What this means for you
If you sign up for WhiteBIT using our affiliate link, you’ll get a 10% discount on fees.
What you can do on the platform
📈 Trade cryptocurrencies with minimal fees and now with an additional 10% discount
💰 Earn passive i…
#beginner_mistakes
“No Plan, No Results: What beginners think”
Most people spend more time planning a vacation than planning their personal finances. And the results clearly reflect that.
🖐 Meet Michael
Michael is 34 years old. He has a stable job and a decent income. One day, he decided it was time to start investing, because everyone around him was talking about it.
He opened an account. He bought a few stock,th…
📊 “What is diversification and why you shouldn’t put all your eggs in one basket”
This is one of the first rules of investing. And it’s one that beginners most often ignore—especially when an asset seems like an “obviously good deal.”
✍ What is diversification?
Diversification is the distribution of capital across different assets, sectors, or markets to reduce risk.
Simply put: don’t put all your eggs in one baske…
#case_studies
"Take your time: The story of an investor who simply held the S&P 500"
🫠 This story is about the most boring and most effective investment strategy of all.
Simply hold the index. And do nothing.
🙋♂ Meet William
William started investing in 1994. He was 30 years old, working as a schoolteacher, and was able to set aside $200 a month.
He didn’t read financial news. He didn’t follow charts. He didn’t t…
👍2
Showing the 12 most recent of 38 posts we hold for @clear_feed_media. 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.
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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
AI Worlds @aiworldsgames · 30,596 Telegram ranks this channel #1 of 72 here — alongside 71 others — read 6 September 2026
LamboTap Official Channel 🏎 @lambotap · 171,175 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 12 August 2026
Crypto Japan Official | クリプトジャパンオフィシャル ️️ @CryptoJapanOfficial · 319,518 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 11 August 2026
Acki Nacki Announcements @ackinackinews · 379,626 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 10 August 2026
Reserve @whiteswapfinance · 28,948 Telegram ranks this channel #3 of 66 here — alongside 65 others — read 8 September 2026
WAODAO: Human-AI Friendly Alliance @waodao_ai · 65,293 Telegram ranks this channel #3 of 68 here — alongside 67 others — read 2 September 2026
Crypto Global News @CGN_channel · 288,839 Telegram ranks this channel #3 of 74 here — alongside 73 others — read 31 August 2026
Meme Pump @iMemePump · 69,342 Telegram ranks this channel #3 of 81 here — alongside 80 others — read 20 August 2026
Crypto Spy Trading | TRUMP | BTC | Bitcoin | Trader | Bull @crypto_spy_trading · 35,080 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 2 September 2026
Devomon Official Announcement @officialdevomon · 49,316 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 25 August 2026
Scam Buster | Truth & Exposure @scambusterofficial · 124,977 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 13 August 2026
FastX Network Channel @fastXNetwork · 385,617 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 10 August 2026
Kaiden Crypto @KaidenCryptoChannel · 33,675 Telegram ranks this channel #5 of 78 here — alongside 77 others — read 7 September 2026
Mokoko Game Offical @MokokoGameChannel · 31,724 Telegram ranks this channel #5 of 66 here — alongside 65 others — read 5 September 2026
Piggies Crypto @thepiggies · 46,445 Telegram ranks this channel #5 of 60 here — alongside 59 others — read 2 September 2026
Meme $PRETON @preton_meme · 122,597 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 13 August 2026
PRO BLOCKCHAIN INTERNATIONAL @cryptopbm · 199,685 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 11 August 2026
Chick Coop Announcement @chickcoop_announcement · 545,779 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 10 August 2026
Pumpers.tg @pumpers · 490,551 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 9 August 2026
WHO•IS•BITHOVEN @who_is_bithoven · 21,929 Telegram ranks this channel #6 of 73 here — alongside 72 others — read 22 September 2026
TON NEWS @TONNEWSIO · 26,768 Telegram ranks this channel #6 of 69 here — alongside 68 others — read 11 September 2026
Silencio Official Announcements @silencioAnnouncements · 55,810 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 28 August 2026
Fuel Jetton TON @fueljetton_en · 139,312 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 28 August 2026
Banger Crypto Call @solmemecll · 48,004 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 25 August 2026
This channel appears in 367 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
3 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Clear feed” (@clear_feed_media), 508,116 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/clear_feed_media.
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.