Nur namentlich mit Oliver Janich gekennzeichnete eigene Beiträge geben Olivers Meinung wieder. Geteilte Beiträge geben ausschließlich die Meinung der Verfasser wieder.
Created
22 August 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Memes & entertainment — 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 86% 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.
Previous handles
Recorded in 2019 as “Oliver Janich öffentlich” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
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. They sit inside a group of 5 channels that share the same post bodies with each other. 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 (5 of the pairs behind the counts below)
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. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 53 comparable posts for this entry, running 5 August 2026 to 7 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 5, the earliest publisher we hold is @WaldgangAlbdruck. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 7 August 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 4 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.
35 measurements spanning 43 days, net -1,039. 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 107,539–108,890 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
17 Sept 2026, 18:59
107,695
-54
15 Sept 2026, 18:22
107,749
-57
14 Sept 2026, 03:16
107,806
-42
12 Sept 2026, 10:41
107,848
-65
10 Sept 2026, 05:16
107,913
-68
7 Sept 2026, 02:17
107,981
-52
4 Sept 2026, 09:18
108,033
-20
3 Sept 2026, 00:26
108,053
-40
2 Sept 2026, 01:42
108,093
-30
1 Sept 2026, 01:48
108,123
-46
31 Aug 2026, 02:35
108,169
-32
30 Aug 2026, 01:35
108,201
-26
28 Aug 2026, 23:34
108,227
-18
27 Aug 2026, 23:04
108,245
-17
27 Aug 2026, 00:45
108,262
-31
26 Aug 2026, 01:15
108,293
-20
25 Aug 2026, 02:24
108,313
-51
23 Aug 2026, 17:06
108,364
-61
22 Aug 2026, 05:43
108,425
-30
20 Aug 2026, 18:52
108,455
first reading
Engagement
1,080 posts held, back to 5 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.46%
avg views ÷ 107,695 subscribers
Avg views / post
6,960
696 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
700
of 1,080 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 694 of 696 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 21 September 2026
Posts held
1,080 (5 August 2026 – 21 September 2026)
Views total
4,842,948
Reactions total
66,600
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 09:28 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
≈49,800
Videos
≈21,800
Links
≈118,000
Lifetime counters from Telegram’s own channel header, read 22 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
41h 15m
Average length
10m 35s
Measured directly from 234 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
90,837 reactions across 988 posts, in 13 distinct kinds. The most used accounts for 24.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
22,032
24.3%
🤡
18,741
20.6%
❤
11,931
13.1%
💯
11,093
12.2%
🔥
10,919
12.0%
🤯
7,124
7.84%
😎
2,710
2.98%
😱
1,984
2.18%
🙏
1,713
1.89%
😢
1,288
1.42%
🤔
817
0.899%
👀
422
0.465%
💔
63
0.069%
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 989 of the 1,000 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 90,837 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 21 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.
Telegram Stars
Stars received
95
across the posts below
Posts paid on
68
of 993 we hold a reading for · 7%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @oliverjanich. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 9 August 2026 to 21 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🔥 Bret Weinstein greift das Alte Testament an!
"Mir blieb der Mund offen stehen, als ich hörte, wie Prof. Weinstein folgendes sagte:
„Israel steht mit einem Fuß im Westen und mit dem anderen in der Tora und droht damit, die ganze Welt zurück ins Alte Testament zu ziehen, das ein Dokument über eine Welt ist, in der Sippen gegen Sippen kämpfen.“
Er geht noch weiter: Die Leute, bei denen es um „Stamm gegen Stamm“ geh…
„Die drei bekannten Fälle könnten zum Problem werden für Elif Eralp, Berlins Spitzenkandidatin, die gute Chancen hat, die nächste Regierende Bürgermeisterin zu werden. (…)
Noch vor wenigen Stunden feierte die Berliner Linke das beste Ergebnis, das sie jemals in der Stadt geholt hat. Nun aber wird der Erfolg von einer Affäre in den Schatten gestellt, die immer weitere Kreise zieht. Zunächst war bekannt geworden, dass…
„Eine interne Auswertung des Schweizerischen Staatssekretariats für Migration (SEM) zeigt erhebliche Unterschiede bei der Straffälligkeit von Flüchtlingen aus den Maghreb-Staaten und anderen Herkunftsländern. Nach Zahlen für das Jahr 2024, die dem Blick vorliegen, wurden 80,5 Prozent der Flüchtlinge aus Marokko, Algerien und Tunesien während ihres Asylverfahrens oder nach einem negativen Entscheid einer oder mehrerer…
Die EU verfolgt rechte Medien und Journalisten. Trump dreht den Spieß um und wirft den Mainstream aus dem Weißen Haus.
Er erklärt auf Truth Social: "Andere Medien, die Falschinformationen verbreiten, werden folgen“.
🇩🇪 Folgen Sie Team Bystron auf Telegram
Das Buch Henoch: Die älteste apokalyptische Überlieferung
Für nur 6 Euro 95!
Das »Buch Henoch« gehört zu den Apokryphen – jenen religiösen Texten jüdischen oder christlichen Ursprungs, die nicht in den biblischen Kanon aufgenommen wurden.
Nach alttestamentarischer Überlieferung ist Henoch ein direkter Vorfahre Noahs, der von Gott noch vor seinem Tod in den Himmel entrückt wird. Der uralte hebräische Text erzählt v…
Hat sich BlackRock schon in die deutschen Krankenversicherer eingekauft? Ich schau's gar nicht nach. Kommt eh nie. Auf X unkt man, er wolle wohl Zugriff auf die Altersrückstellungen...
CDU-Chef Friedrich Merz stellt das duale Krankenversicherungssystem plötzlich offen infrage. Ein konkretes Reformmodell legte er nicht vor. Bislang hatte die CDU immer wieder auf den Bestand der privaten und gesetzlichen Krankenversicherung gepocht.
https://apollo-news.net/gerechtigkeitsproblem-merz-erwaegt-offenbar-die-abschaffung-der-gesetzlichen-krankenversicherung/
Bei der Abgeordnetenhauswahl in Berlin wählten laut einer neuen Auswertung 51 Prozent der Muslime die Linkspartei – sie gewann bei der Gruppe im Vergleich zu 2023 36 Prozentpunkte hinzu. Für die AfD votierten dagegen nur vier Prozent der Muslime.
https://apollo-news.net/51-prozent-der-muslime-stimmten-in-berlin-fr-die-linke/
🌐⚡️Biodigital Skynet (Teil 2): Die Konvergenz - "verkörpertes Computing" | Deutsch
Teil 2 dieser investigativen Serie von Zeee Media befasst sich eingehender mit der Biodigitalen Konvergenz, ihren veröffentlichten Plänen und warum das, was sie als „verkörpertes Computing“ bezeichnen, für das Erreichen ihrer transhumanistischen Ziele unerlässlich ist.
Biodigitale Konvergenz beschreibt die Verschmelzung von Biotech…
🇨🇳👶🏭 Chinesischer Milliardär nutzt amerikanische Leihmütter für 300 Kinder?? Wie ist das legal? | Kim Iversen Deutsch
In der Sendung von Kim Iversen wird berichtet, dass ein chinesischer Milliardär zwischen 100 und 300 Kinder hat, die er mithilfe amerikanischer Leihmütter gezeugt hat. Er hat mindestens 12 Kinder bestätigt und strebt 13 an.
Zudem befindet er sich in einem Sorgerechtsstreit um 11 Kinder mit einer Ex-…
❤26🔥21🤡14😱14🤯7
Showing the 12 most recent of 1,080 posts we hold for @oliverjanich. 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
@oliverjanich edited 1 post 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
14 August 2026
Most recent edit
14 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 194 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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
Named by 64 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
5
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
5
vacant every time we have ever looked
@oliverjanich named 5 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@ulrichsiegmund named in 3 posts, 20 August 2026 – 22 August 2026
@compact2010 named in 2 posts, 8 August 2026 – 31 August 2026
@hendrikwuest named in 1 post, 10 September 2026 – 10 September 2026
@zdfheute named in 1 post, 10 September 2026 – 10 September 2026
@expresszeitung named in 1 post, 3 September 2026 – 3 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Informationen für das GHZ Mecklenburg-Strelitz, Mecklenburg-Schwerin, Herzogthum Pommern und das Königreich Preussen Preussen @GHZFriedrichMaik · 29,358#76
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Eva Herman Offiziell @EvaHermanOffiziell · 189,298 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 15 August 2026
Digitaler Chronist @DigitalChronist · 29,542 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 8 September 2026
MMnews offiziell @mmnews_offiziell · 30,079 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 7 September 2026
Ignaz Bearth offiziell @ignazbearth · 33,138 Telegram ranks this channel #3 of 78 here — alongside 77 others — read 4 September 2026
Sara Bennett Lightfight @saraslightfight · 57,169 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 23 August 2026
Epoch Times Deutsch @epochtimesde · 30,730 Telegram ranks this channel #4 of 78 here — alongside 77 others — read 6 September 2026
Stefan Magnet @stefanmagnet · 68,417 Telegram ranks this channel #5 of 80 here — alongside 79 others — read 20 August 2026
COMPACT-Magazin @CompactMagazin · 77,708 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 19 August 2026
Tim K. @timmkellner · 205,156 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 15 August 2026
Alles Ausser Mainstream @AllesAusserMainstream · 109,625 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 15 August 2026
AUF1 @auf1tv · 273,431 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 15 August 2026
Paul Brandenburg @paulbrandenburg · 45,438 Telegram ranks this channel #7 of 80 here — alongside 79 others — read 27 August 2026
#WirSindVielMehr @wirsindvielmehr · 50,329 Telegram ranks this channel #7 of 74 here — alongside 73 others — read 25 August 2026
▫️Rechtsanwältin Beate Bahner @rechtsanwaeltin_beate_bahner · 82,818 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 18 August 2026
LION Media @LIONMediaNews · 134,109 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 15 August 2026
RABBIT RESEARCH @rabbitresearch · 83,503 Telegram ranks this channel #8 of 82 here — alongside 81 others — read 18 August 2026
Qlobal-Change 🫂 @QlobalChange · 93,501 Telegram ranks this channel #9 of 82 here — alongside 81 others — read 16 August 2026
Carsten Jahn - TEAM HEIMAT @CarstenJahn_TEAMHEIMAT · 67,481 Telegram ranks this channel #10 of 80 here — alongside 79 others — read 20 August 2026
BITTEL TV - EINFACH ANDERS @bitteltv · 91,613 Telegram ranks this channel #10 of 84 here — alongside 83 others — read 17 August 2026
apolut 🎙 podcast @tagesdosis_KenFM · 53,870 Telegram ranks this channel #11 of 86 here — alongside 85 others — read 24 August 2026
WAS WIRKLICH IST - ENDE DER TÄUSCHUNG @waswirklichist · 59,851 Telegram ranks this channel #12 of 68 here — alongside 67 others — read 22 August 2026
Dirk Dietrich @DDDDoffiziell · 56,071 Telegram ranks this channel #13 of 75 here — alongside 74 others — read 23 August 2026
Gerald Markel @gema1963 · 31,733 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 5 September 2026
Klartext20/21-Gemeinsam 👍🏻Info-kanal🔝🖤🤍❤️ @Klartext2021Gemeinsam · 64,143 Telegram ranks this channel #17 of 76 here — alongside 75 others — read 21 August 2026
This channel appears in 96 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
18 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Hacker News
This handle was named once in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Oliver Janich & Team” (@oliverjanich), 107,695 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/oliverjanich.
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.
