Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
14 measurements spanning 41 days, net +137. 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 5,587–5,766 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 20:55
5,745
+29
12 Sept 2026, 07:01
5,716
+36
7 Sept 2026, 23:42
5,680
+46
2 Sept 2026, 19:43
5,634
+24
31 Aug 2026, 02:16
5,610
-19
28 Aug 2026, 07:58
5,629
-7
25 Aug 2026, 17:38
5,636
-4
22 Aug 2026, 14:25
5,640
-6
18 Aug 2026, 22:37
5,646
-9
16 Aug 2026, 04:36
5,655
+19
12 Aug 2026, 16:43
5,636
+25
6 Aug 2026, 21:23
5,611
+3
6 Aug 2026, 06:46
5,608
no change
6 Aug 2026, 06:37
5,608
first reading
Engagement
22 posts held, back to 25 June 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 8 pages 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 22 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 49s
Average length
32s
Measured directly from 9 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
91 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 64.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
59
64.8%
🥰
9
9.89%
🙏
7
7.69%
👍
5
5.49%
👏
4
4.40%
👌
3
3.30%
😍
2
2.20%
💯
1
1.10%
🤝
1
1.10%
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 22 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 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 25 June 2026 to 10 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.
📣⭕️⭕️ اطلاعیه ثبتنام دوره آنلاین تئوری گواهینامه آلمان🥇
———
⭕️💎 شروع دوره: 21 September
(ظرفیت محدود)
———
⏰ ساعت: 22:15 تا 23:15 (به وقت آلمان)
📆برگزاری: ۴ روز در هفته
دوشنبه-سه شنبه- چهارشنبه- پنج شنبه
⸻
🔸 تعداد جلسات: حدوداً ۶۰ جلسه
⸻
💰 شهریه کل دوره: ۳۰۰ یورو
🎉با ۱۵ درصد تخفیف ۲۵۵ یورو( تا یک هفته)
📌 پرداخت اقساطی: در ۳-۲ قسط
📌 یعنی ماهیانه : ۸۵ تا ۱۲۸ یورو
🍀 هزینه هر ساعت آموزش ک…
Führerschein_Hilfe pinned «📣⭕️⭕️ اطلاعیه ثبتنام دوره فوق فشرده و آنلاین تئوری گواهینامه آلمان🥇 ——— ⭕️💎 شروع دوره: 24 August ——— ⏰ ساعت: 17 تا 19 (به وقت آلمان) 📆برگزاری: ۴ روز در هفته دوشنبه-سه شنبه- چهارشنبه- پنج شنبه ⸻ 📱 نحوه برگزاری: فقط بصورت آنلاین و در Zoom 💻📱📱 …»
📣⭕️⭕️ اطلاعیه ثبتنام دوره فوق فشرده و آنلاین تئوری گواهینامه آلمان🥇
———
⭕️💎 شروع دوره: 24 August
———
⏰ ساعت: 17 تا 19 (به وقت آلمان)
📆برگزاری: ۴ روز در هفته
دوشنبه-سه شنبه- چهارشنبه- پنج شنبه
⸻
📱 نحوه برگزاری: فقط بصورت آنلاین و در Zoom 💻📱📱
🔸 طول دوره: حدوداً ۶۰ ساعت (حدودا یکماه و نیم)
⸻
💰 شهریه کل دوره: ۳۰۰ یورو
🎉شهریه با تخفیف: ۲۵۵ یورو✅
📌 پرداخت اقساطی: در ۲ قسط✅
📌 یعنی ماهیانه : ۱۲۸ یور…
Führerschein_Hilfe pinned «📣⭕️⭕️ اطلاعیه ثبتنام دوره آنلاین تئوری گواهینامه آلمان🥇 ——— ⭕️💎 شروع دوره: 10 August ——— ⏰ ساعت: 21:15 تا 22:15 (به وقت آلمان) 📆برگزاری: ۴ روز در هفته دوشنبه-سه شنبه- چهارشنبه- پنج شنبه ⸻ 🔸 تعداد جلسات: حدوداً ۶۰ جلسه ⸻ 💰 شهریه کل دوره: ۳۰۰…»
📣⭕️⭕️ اطلاعیه ثبتنام دوره آنلاین تئوری گواهینامه آلمان🥇
———
⭕️💎 شروع دوره: 10 August
———
⏰ ساعت: 21:15 تا 22:15 (به وقت آلمان)
📆برگزاری: ۴ روز در هفته
دوشنبه-سه شنبه- چهارشنبه- پنج شنبه
⸻
🔸 تعداد جلسات: حدوداً ۶۰ جلسه
⸻
💰 شهریه کل دوره: ۳۰۰ یورو
🎉شهریه با تخفیف: ۲۵۵ یورو✅
📌 پرداخت اقساطی: در ۳-۲ قسط✅
📌 یعنی ماهیانه : ۸۵ تا ۱۲۸ یورو✅
🍀 هزینه هر ساعت آموزش کمتر از ۵ یورو
⸻
📌 شرایط شرکت در…
⭐️ اگر میخواهید قبل از ثبتنام با کیفیت کلاسها و میزان رضایت شرکتکنندگان آشنا شوید، میتوانید نظرات واقعی ثبتشده در گوگل را مشاهده کنید.
✅امتیاز 5.0 از 5
✅ 34 نظر ثبتشده در گوگل
👇مشاهده نظرات:👇
https://www.google.com/search?client=safari&hs=oQY&sca_esv=8a7c3553ca8d2c66&channel=iphone_bm&cs=0&q=f%C3%BChrerschein+hilfe+rezensionen&ludocid=5350739022956231343&ibp=gwp;0,7&hl=de-DE&sa=X&ved=2ahUKEwj5kIrHy_WUAxUHBt…
Showing the 12 most recent of 22 posts we hold for @Fuehrerschein_Hilfe. 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.
Posts edited after publishing
@Fuehrerschein_Hilfe edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
12 August 2026
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Führerschein_Hilfe” (@Fuehrerschein_Hilfe), 5,745 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/Fuehrerschein_Hilfe.
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.