Other / unclassifiable β a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelβs own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 42% confidence. This is a modelβs 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 β 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
7 measurements spanning 6 days, net -731. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β snapshots are recorded only when a count changes, so gaps mean βno change observedβ, never βinterpolatedβ. The vertical axis spans 105,414β106,365 and does not start at zero.
Measurement log β every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 17:36
105,524
-121
11 Aug 2026, 20:23
105,645
-155
10 Aug 2026, 19:51
105,800
-102
9 Aug 2026, 18:21
105,902
-184
8 Aug 2026, 19:21
106,086
-80
7 Aug 2026, 22:19
106,166
-89
7 Aug 2026, 00:03
106,255
first reading
Engagement
23 posts held, back to 27 June 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 17 pagesof Telegramβs post history, 20 posts per page.
ERR Β· 30 days
4.99%
avg views Γ· 105,524 subscribers
Avg views / post
5,260
14 posts measured
Reaction rate
1.33%
reactions Γ· views Β· ER floor
Posts in window
14
of 23 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) Γ· viewsβ note the denominator is views, not subscribers. Telegramβs 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
Window
Rolling 30 days Β· latest post in window 11 August 2026
Posts held
23 (27 June 2026 β 11 August 2026)
Views total
73,690
Reactions total
977
Forwards / comments
not exposed by the public surface β not measured, not estimated
Readings taken
12 Aug 2026, 18:29 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
307
Lifetime counters from Telegramβs own channel header, read 12 August 2026 β not the date at the top of this page, which is when the subscriber count was last read. Below Telegramβs rounding threshold, so these counts are exact.
Reaction mix
1,714 reactions across 23 posts, in 19 distinct kinds. The most used accounts for 36.9% of them.
Every reaction kind recorded on the sample, most used first
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 23 of the 23 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 1,714reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 23 most recent posts we hold, published 27 June 2026 to 11 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.
Telegram Stars
Stars received
23
across the posts below
Posts paid on
19
of 23 we hold a reading for Β· 83%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars β bought with money β on a post by @FMCApp. 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 23 most recent posts we hold for this entry, published 27 June 2026 to 11 August 2026. Star counts above 1,000 reach us in Telegramβs short form and carry the same three-significant-figure rounding as everything else on this page.
βοΈ On-chain settlement mechanism:
All earnings and transactions are recorded on-chain, ensuring transparency, fairness, and traceability.
βοΈ Fair distribution of computing power:
The platform sets a purchase limit for mining machines for each account to avoid resource monopolization and ensure healthy ecological development.
π¨ Tasks and mining machine acquisition:
By completing platform tasks, there is a chance to obtain mining machines or computing power upgrades for free.
π¨ Mining machine upgrade system:
Users can upgrade their mining machines by accumulating earnings or participating in activities, improving mining efficiency and returns.
π¨ Daily check-in rewards:
Users can receive additional earnings by logging in and checking in daily, and continuous participation can enhance overall earnings efficiency.
π¨ Invite friends to participate and receive rewards:
For each user invited, you can earn 500 FMC
Friend income sharing: For example, if a friend earns 100 BNB, you will receive 10 BNB
π¨ Cloud computing mining:
No hardware investment is required, participate in mining with one click, and the system automatically runs to generate profits.
π¨ FMC incentive mechanism:
The platform uses FMC tokens as the core incentive, which runs through multiple stages including mining, invitations, and tasks.
π BNB Farm is a one-stop BNB cloud mining platform built on blockchain technology, deeply integrated with the Telegram ecosystem, dedicated to providing global users with a low-threshold, high-efficiency, decentralized digital asset mining experience.
The platform adopts an innovative cloud computing power model, allowing users to participate online and obtain stable earnings without the need to purchase physical miβ¦
π¨ Periodic opening of advanced mining machine reward activities, prioritized for active users
π¨ During the market growth cycle, the platform will release more income opportunities and computing power quotas.
π¨ Share easily to platforms such as Facebook, Instagram, YouTube, WhatsApp, etc., to quickly expand sources of income
The more invitations, the more earnings.
βοΈ Energy-saving operation mechanism
If an account remains inactive for 7 consecutive days, the system will automatically suspend mining and enter power-saving mode.
βοΈ On-chain settlement mechanism:
All earnings and transactions are recorded on-chain, ensuring transparency, fairness, and traceability.
βοΈ Fair distribution of computing power:
The platform sets a purchase limit for mining machines for each account to avoid resource monopolization and ensure healthy ecological development.
π¨ Tasks and mining machine acquisition:
By completing platform tasks, there is a chance to obtain mining machines or computing power upgrades for free.
π¨ Mining machine upgrade system:
Users can upgrade their mining machines by accumulating earnings or participating in activities, improving mining efficiency and returns.
π¨ Daily check-in rewards:
Users can receive additional earnings by logging in and checking in daily, and continuous participation can enhance overall earnings efficiency.
Showing the 12 most recent of 23 posts we hold for @FMCApp. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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 β 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
Citation-graph rank β 1,018,823 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below β republished posts weigh more than named mentions β 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 channelβs 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 β a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 12 August 2026 β this
entry's latest reading, not the date you are reading this.
βπ¨ BNB Farm Channelsβ (@FMCApp), 105,524 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/FMCApp.
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 Β· 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.