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Channel

Meet Your Mentor (mym by Simo)

@MeetYourMentorOffizielle

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

41,638subscribers

+14,452 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002654704284
TypeChannel
Username@MeetYourMentorOffizielle
DescriptionKontaktieren👇👇✍ https://t.me/MeetYourMentorOffiziell Offizieller Telegram-Kanal von Mym by Simo. Hier finden Sie aktuelle Neuigkeiten zu meinen Themen. Nützliche Erinnerungen und Motivation. Wir bieten auch Investitionsmöglichkeiten.Beste Grüße✍️😊🇩🇪
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/MeetYourMentorOffizielle

Topic

Politics & activism — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 2 other registered channels. 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)
Posted firstThenOverlapGap
@AfDFraktionBundestag_a/115306 Aug 2026, 22:54 UTC@MeetYourMentorOffizielle/11718 · this entry6 Aug 2026, 22:54 UTC1.00under a minute
@AfDFraktionBundestag_a/115316 Aug 2026, 22:54 UTC@MeetYourMentorOffizielle/11719 · this entry6 Aug 2026, 22:54 UTC1.00under a minute
@AfDFraktionBundestag_a/115347 Aug 2026, 11:00 UTC@MeetYourMentorOffizielle/11721 · this entry7 Aug 2026, 11:00 UTC1.00under a minute
@AfDFraktionBundestag_a/115447 Aug 2026, 15:35 UTC@MeetYourMentorOffizielle/11732 · this entry7 Aug 2026, 15:35 UTC1.00under a minute
@AfDFraktionBundestag_a/115467 Aug 2026, 15:38 UTC@MeetYourMentorOffizielle/11734 · this entry7 Aug 2026, 15:38 UTC1.00under a minute
@AfDFraktionBundestag_a/115477 Aug 2026, 15:39 UTC@MeetYourMentorOffizielle/11735 · this entry7 Aug 2026, 15:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@AfDFraktionBundestag_a10 (8/8 hand-verifiable sample passed)1.00under a minute@AfDFraktionBundestag_a (6–4)
@michael_hauke110 (8/8 hand-verifiable sample passed)1.00under a minute@michael_hauke1 (7–3)

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. 13 of the 13 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 6 August 2026 to 8 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 3, the earliest publisher we hold is @AfDFraktionBundestag_a. That is a statement about our reading window, not a claim of authorship.

Views per post sit far below this size band

4.6 average views per post against 41,638 subscribers — an engagement rate of 0.011%. Across the 24,251 registered channels in the same cohort — 31,624–99,993 subscribers — the middle half sit between 2.62% and 15.0%, with a median of 6.79%.

What this was computed from
Window30 days (27 August 2026 – 26 September 2026)
Posts measured396 of 400 published in the window (396 exact, 0 rounded by Telegram)
Views totalled1,806
Mature posts only0.018% over 34 posts read at least 24h after publication
Subscribers41,638 measured 26 September 2026
Cohortb31623 · 24,251 channels · p10 0.807% · p25 2.62% · p50 6.79% · p75 15.0% · p90 27.6%
Position in cohort0.128th percentile · 1/500 the cohort median
Uncertainty±0.069% of the figure, from Telegram’s rounding
Post languageGerman · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_copy · clone_mutual · err_low, last confirmed 26 September 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 2 other registered channels, 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.

Growth

27,16641,63834,4027 August 2026 — 27,186 subscribers7 August 2026 — 27,186 subscribers8 August 2026 — 27,182 subscribers9 August 2026 — 27,174 subscribers10 August 2026 — 27,166 subscribers11 August 2026 — 29,662 subscribers12 August 2026 — 29,649 subscribers13 August 2026 — 29,642 subscribers15 August 2026 — 32,173 subscribers16 August 2026 — 32,157 subscribers17 August 2026 — 32,149 subscribers18 August 2026 — 32,124 subscribers19 August 2026 — 32,118 subscribers20 August 2026 — 32,109 subscribers22 August 2026 — 32,100 subscribers23 August 2026 — 32,085 subscribers25 August 2026 — 32,065 subscribers26 August 2026 — 32,057 subscribers27 August 2026 — 32,047 subscribers28 August 2026 — 32,044 subscribers29 August 2026 — 32,029 subscribers30 August 2026 — 32,014 subscribers31 August 2026 — 31,998 subscribers1 September 2026 — 31,983 subscribers2 September 2026 — 31,977 subscribers3 September 2026 — 31,892 subscribers6 September 2026 — 31,825 subscribers9 September 2026 — 31,786 subscribers11 September 2026 — 31,761 subscribers13 September 2026 — 31,737 subscribers15 September 2026 — 31,709 subscribers17 September 2026 — 36,698 subscribers26 September 2026 — 41,638 subscribers7 August 202626 September 2026
33 measurements spanning 49 days, net +14,452. 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 24,995–43,809 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
26 Sept 2026, 03:0041,638+4,940
17 Sept 2026, 11:3936,698+4,989
15 Sept 2026, 11:1931,709-28
13 Sept 2026, 17:0031,737-24
11 Sept 2026, 21:1531,761-25
9 Sept 2026, 08:1631,786-39
6 Sept 2026, 02:5631,825-67
3 Sept 2026, 19:4131,892-85
2 Sept 2026, 09:0631,977-6
1 Sept 2026, 11:3531,983-15
31 Aug 2026, 08:2231,998-16
30 Aug 2026, 06:0632,014-15
29 Aug 2026, 04:2332,029-15
28 Aug 2026, 04:3432,044-3
27 Aug 2026, 01:0832,047-10
26 Aug 2026, 04:0332,057-8
25 Aug 2026, 00:5832,065-20
23 Aug 2026, 14:5532,085-15
22 Aug 2026, 03:3432,100-9
20 Aug 2026, 22:5532,109first reading

Engagement

933 posts held, back to 6 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 77 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.011%
avg views ÷ 41,638 subscribers
Avg views / post
4.6
396 posts measured
Reaction rate
16.7%
reactions ÷ views · ER floor
Posts in window
400
of 933 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 14 of 396 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held933 (6 August 2026 – 26 September 2026)
Views total1,806
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 15:15 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
≈7,730
Videos
≈3,810
Links
≈6,050

Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
13h 37m
Average length
3m 24s

Measured directly from 240 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

21 reactions across 21 posts, in 10 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤628.6%
👎314.3%
👏314.3%
💯29.52%
🤮29.52%
😁14.76%
😢14.76%
🙏14.76%
🤔14.76%
🤬14.76%

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 22 of the 933 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 933 most recent posts we hold, published 6 August 2026 to 26 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.

Recent posts

26 Sept 2026, 13:41 UTC4 viewsread 26 September 2026
Video

Der Berliner Arzt Dr. Masyar Rahmanzadeh @masyarrahmanz bezeichnet die Links-Partei in Berlin als ‼️„nützliche Idioten“ ‼️ der Islamisten. Er sieht eine Strategie, Wählerstimmen über Zuwanderer zu gewinnen, die „ideologisch komplett diametral auseinandersitzen“.

26 Sept 2026, 13:40 UTC3 viewsread 26 September 2026
Video

Ganz aktuell! Bill Gates: „KI ist auf jeden Fall mächtig genug, Ereignisse auszulösen, die eine Milliarde Tote verursachen.“ Das alles ist Pre-Teaching. Das Interview ist vom 23.9.26 Wir erleben nach Corona die nächste Psychologische Operation.

26 Sept 2026, 13:40 UTC3 viewsread 26 September 2026
Photo

Im Sommer 2026 wurde ein EU-Topf von 6,6 Milliarden Euro (European Peace Facility / Ukraine Assistance Fund) freigegeben. Aus diesem Fonds können EU-Staaten sich einen Teil der militärischen Hilfen erstatten lassen, die sie der Ukraine bereits geliefert haben. • Polen will seinen Anteil (rund 450 Millionen Euro) zurück. • Deutschland hat erklärt, den auf das Land entfallenden Anteil nicht ins eigene Budget zu nehme…

25 Sept 2026, 13:39 UTC11 viewsread 26 September 2026
Photo

Gestern: Sehr gute Fraktionsveranstaltung zu den Tücken & Manipulationsmöglichkeiten bei der 👉#Briefwahl. Es ist schlimmer😱 als man denkt... #AfD🇩🇪💙 #Brandnerunterwegs🚙 #wirhabendasDirektmandat👍 #WK193 #Berlin #Bundestag #Brandner

25 Sept 2026, 09:56 UTC10 viewsread 26 September 2026
Photo

Raider heißt jetzt Twix – sonst ändert sich nix! Das wäre die passende Überschrift gewesen: Mit Florian Schroeder: ZDF kündigt nach Böhmermann-Aus neue Propaganda-Show „Journal Deluxe“ an

25 Sept 2026, 09:56 UTC9 viewsread 26 September 2026
Photo

In dieser Sendung widmet sich Lothar Hirneise einem der sensibelsten Themen in der Krebsbehandlung: dem Schmerz. Die komplette Sendung findest Du hier https://youtu.be/1m5V8ibpI1Y?si=6gzTOPJ9_96HNg9I

25 Sept 2026, 09:56 UTC8 viewsread 26 September 2026
Photo

Unser Leitungswasser gilt offiziell als bestens kontrolliert. Doch genügt das wirklich, wenn man nicht nur überleben, sondern langfristig gesund bleiben will? Genau dieser Frage widmen sich Nikolaus Hippe und Alvaro Bueno in dieser aufrüttelnden Sendung – klar, praxisnah und ohne jede Beschönigung. Im Zentrum steht die vielleicht entscheidendste Frage überhaupt: Braucht man im Alltag wirklich einen Wasserfilter – ode…

25 Sept 2026, 09:56 UTC8 viewsread 26 September 2026
Photo

In dieser Sendung spricht Dr. Henning Saupe über einen Perspektivwechsel in der Krebsmedizin: Nicht immer geht es darum, den Krebs vollständig zu besiegen – in vielen Fällen kann es ebenso entscheidend sein, ihn langfristig zu kontrollieren und gut mit ihm zu leben. Die komplette Sendung findest Du hier: https://youtu.be/jTcu8-tH6JE?si=Gdw0Q2kveeWh1BAa

25 Sept 2026, 09:43 UTC8 viewsread 26 September 2026
Video

Vier Beispiele für die Führungskompetenz des Merz. Arrogant, herablassend und belehrend statt souverän und zielführend. Der Beweis für das Können ist das Tun. #MerzKannEsNicht https://x.com/DrLuetke/status/2103351297185288686

Showing the 12 most recent of 933 posts we hold for @MeetYourMentorOffizielle. 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

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

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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Meet Your Mentor (mym by Simo)” (@MeetYourMentorOffizielle), 41,638 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/MeetYourMentorOffizielle.

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.