Hacking & security β a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelβs own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
29 measurements spanning 34 days, net -356. 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 19,601β26,567 and does not start at zero.
Measurement log β every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
11 Sept 2026, 05:39
25,407
+1,006
8 Sept 2026, 12:15
24,401
+3,190
5 Sept 2026, 08:38
21,211
-141
3 Sept 2026, 13:19
21,352
-178
2 Sept 2026, 09:06
21,530
-383
1 Sept 2026, 05:44
21,913
-841
31 Aug 2026, 03:55
22,754
-1,036
30 Aug 2026, 00:35
23,790
-464
28 Aug 2026, 22:12
24,254
-181
27 Aug 2026, 20:36
24,435
+886
26 Aug 2026, 21:47
23,549
-61
25 Aug 2026, 19:03
23,610
+876
24 Aug 2026, 22:18
22,734
-506
23 Aug 2026, 06:29
23,240
-283
21 Aug 2026, 15:16
23,523
+1,734
20 Aug 2026, 16:35
21,789
+1,384
19 Aug 2026, 15:51
20,405
-4,089
18 Aug 2026, 15:56
24,494
-152
17 Aug 2026, 15:29
24,646
-171
16 Aug 2026, 08:24
24,817
first reading
Engagement
280 posts held, back to 6 August 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 58 pages of Telegramβs post history, 20 posts per page.
ERR Β· 30 days
1.22%
avg views Γ· 25,407 subscribers
Avg views / post
309
201 posts measured
Reaction rate
6.23%
reactions Γ· views Β· ER floor
Posts in window
204
of 280 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· views β 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 3 September 2026
Posts held
280 (6 August 2026 β 3 September 2026)
Views total
62,127
Reactions total
3,871
Forwards / comments
not exposed by the public surface β not measured, not estimated
Readings taken
3 Sept 2026, 16:41 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 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
Video runtime
4m 42s
Average length
22s
Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel β not this channelβs 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 Telegramβs own rounded chrome, so it carries no β mark.
Reaction mix
6,299 reactions across 275 posts, in 14 distinct kinds. The most used accounts for 18.6% 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 275 of the 280 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 6,299 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 280 most recent posts we hold, published 6 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.
It doesnβt matter if youβre new to street or old as long as you have capital to buy logs πͺ΅ then youβre making a lot of money just go to https://Shop-logs.org and buy any log you want then text me on WhatsApp Iβll show you how to cash it out easily
hope you all making money here like i always said if you donβt have client get a verified shopwithscrip account and use the balance to buy gift card!
Shopwithscrip is the easiest and most straightforward to start with as a beginner
For those asking me about gift cards for awhile nowπ€I currently got some gift cards with me going for a peni π°as usual yeah
$2k price $70/#110k 5unit
$1k price $35/#45k 9unit
$500 price $25/#30k 13unit
Dm ready π
π₯6β€4π4π3π2π₯°1
Signed Money maker π
Showing the 12 most recent of 280 posts we hold for @moneymakersreal2020. 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.
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 11 September 2026 β this
entry's latest reading, not the date you are reading this.
βOnline Cashout Tutorials π»πβ (@moneymakersreal2020), 25,407 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/moneymakersreal2020.
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.