Marketing & affiliate — 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 90% 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
18 measurements spanning 65 days, net +198. 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 1,483–1,741 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Oct 2026, 23:16
1,711
+14
5 Oct 2026, 04:02
1,697
+26
26 Sept 2026, 16:38
1,671
+12
17 Sept 2026, 19:57
1,659
+5
14 Sept 2026, 02:37
1,654
+10
10 Sept 2026, 16:59
1,644
+43
5 Sept 2026, 17:16
1,601
+19
1 Sept 2026, 09:44
1,582
+7
29 Aug 2026, 09:05
1,575
-1
26 Aug 2026, 19:33
1,576
+21
23 Aug 2026, 11:03
1,555
+11
20 Aug 2026, 08:22
1,544
+5
17 Aug 2026, 17:04
1,539
+11
14 Aug 2026, 08:16
1,528
+4
10 Aug 2026, 23:43
1,524
+8
7 Aug 2026, 23:54
1,516
+3
7 Aug 2026, 21:46
1,513
no change
7 Aug 2026, 15:07
1,513
first reading
Engagement
20 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
45 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 60.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
60.0%
🔥
11
24.4%
👍
2
4.44%
😁
2
4.44%
💯
1
2.22%
🤩
1
2.22%
🫡
1
2.22%
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 14 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 45 reactions 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 3 August 2026 to 7 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.
I’ve built my whole operation through content.
Here’s 3 lessons I wish someone told me earlier.
1. Look through a different lens than everybody else.
Everyone in OFM studies OFM.
That’s exactly why they all post the same thing.
2. Use AI to execute, never to think for you.
The moment your taste goes, your edge goes with it.
3. Take concepts from other niches.
Gym creators.
Salary creators.
Skit pages.
Etc
Dr…
Let’s talk about the ones who say “oh I want to try it on my own first.”
You know the type and you know who you ARE 🫵
“I want to fail and see what mistakes I made so I don’t repeat them. That’s how I’ve always learned.”
Brother.
If that’s your mentality, you’re going the zigzag route.
You’ll get banned.
You’ll get account restrictions.
You’ll spend months not going viral.
Meanwhile there’s a straight line right…
I’m going to keep sharing these Loom feedbacks because I believe it’s one of the most important things I do for my clients.
Had a call with Diego yesterday.
He told me with the 2 IG accounts he currently has.
He made 2K in a single day.
My content plan.
My thought process.
My Hydra System built into his agency.
Then he asked me: “Emil, what does the 6 figure roadmap look like?”
I told him very honestly.
It’s…
Got asked how many accounts is too many.
Depends entirely on the model.
If it's a unicorn creator (good looks, speaks English, can film outdoor content, proper tier A):
→ 3-5 main posting accounts MAX
→ 50-100 blank accounts sitting in the background ready (and this number increases the more models you manage)
And here's the key.
Those blank backup accounts aren't tied to one model.
They're general.
They can …
Do not compete on being better.
Compete on what others cannot copy.
Every agency is ripping the same viral reels with the same captions.
So all the girls end up looking identical.
And identical gets scrolled past.
The one thing nobody can copy is your model's personality.
The way she talks.
The way she reacts.
Her actual character on camera.
This is what you need to figure out when it comes to her niche.
Be…
❤1🔥1🫡1
Showing the 12 most recent of 20 posts we hold for @emsocialscaling. 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.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“E. M.’s Social Scaling” (@emsocialscaling), 1,711 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/emsocialscaling.
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.