Channel
@eticamedia
On this record: Topic ยท Observations ยท Also posting the same content ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Citations ยท Cite this entry
2,590subscribers
+27 since we began measuring on 6 August 2026
Risers and fallers across the register ยท movement among entries of 1,000โ3,162.
| Telegram ID | -1001801995633 |
|---|---|
| Type | Channel |
| Username | @eticamedia |
| Created | 1 January 2023 โ measured โ cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/eticamedia |
Politics & activism โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโs own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a modelโs 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 โ 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.
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.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegramโs forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @eticamedia/573 ยท this entry31 Jul 2026, 16:45 UTC | @heiko_schoening/32092 Aug 2026, 10:10 UTC | 1.00 | 41 hours |
| @eticamedia/574 ยท this entry1 Aug 2026, 09:02 UTC | @heiko_schoening/32081 Aug 2026, 09:27 UTC | 1.00 | 25 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @heiko_schoening | 7 (7/7 hand-verifiable sample passed) | 1.00 | 41 hours | this entry (5โ2) |
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 โ 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 0 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.
โPublished firstโ means first in this corpus. We hold 19 comparable posts for this entry, running 27 July 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 detectorโs 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.
Across the whole group of 2, the earliest publisher we hold is @eticamedia โ which is this entry. That is a statement about our reading window, not a claim of authorship.
7,450 average views per post against 2,590 subscribers โ an engagement rate of 287.6%. Across the 810 registered channels in the same cohort โ 1,001โ3,158 subscribers, posting mainly in German โ the middle half sit between 13.7% and 46.5%, with a median of 25.4%.
| Window | 30 days (13 July 2026 โ 12 August 2026) |
|---|---|
| Posts measured | 19 of 19 published in the window (6 exact, 13 rounded by Telegram) |
| Views totalled | 141,546 |
| Mature posts only | 317.2% over 17 posts read at least 24h after publication |
| Subscribers | 2,590 measured 12 August 2026 |
| Cohort | b1000:deu ยท 810 channels ยท p10 8.07% ยท p25 13.7% ยท p50 25.4% ยท p75 46.5% ยท p90 73.1% |
| Position in cohort | 99.629th percentile ยท 11.3ร the cohort median |
| Uncertainty | ยฑ0.122% of the figure, from Telegramโs rounding |
| Post language | German ยท 100.0%of the windowโs posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3ร away from that cohortโs median โ above it โ 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 โ 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 channelโs 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_source ยท err_high, last confirmed 12 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 โ we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channelโs posts match, word for word or near enough, posts on 1 other registered channel, 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 โ 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 โ 60%, no better than a coin flip โ because it depends on how deep our own crawl happened to reach into each channelโs 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 โ a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story โ and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 00:32 | 2,590 | +13 |
| 9 Aug 2026, 09:11 | 2,577 | +11 |
| 6 Aug 2026, 18:25 | 2,566 | +3 |
| 6 Aug 2026, 05:31 | 2,563 | no change |
| 6 Aug 2026, 02:37 | 2,563 | first reading |
19 posts held, back to 27 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 2 pagesof Telegramโs post history, 20 posts per page.
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) รท viewsโ note the denominator is views, not subscribers. Telegramโs 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 18 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days ยท latest post in window 7 August 2026 |
|---|---|
| Posts held | 19 (27 July 2026 โ 7 August 2026) |
| Views total | 141,546 |
| Reactions total | 161 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:23 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
116 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 43.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 50 | 43.1% | |
| ๐ | 20 | 17.2% | |
| ๐ฏ | 16 | 13.8% | |
| ๐ฅ | 14 | 12.1% | |
| ๐ | 6 | 5.17% | |
| ๐ | 4 | 3.45% | |
| โคโ๐ฅ | 3 | 2.59% | |
| ๐ฅฐ | 2 | 1.72% | |
| ๐ | 1 | 0.862% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 18 of the 19 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 161reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 19 most recent posts we hold, published 27 July 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.
๐ฅ Alarmstufe Rot: Wolfgang Effenberger warnt vor dem "Operationsplan Deutschland" ๐นPatrik Baab interviewt unseren Buchautor Wolfgang Effenberger โVom Krieg zur Weltordnung" ๐
โ๐๐ฌ ๐ข๐ฌ๐ญ ๐ฆ๐๐ข๐ง๐ ๐๐จ๐๐๐ง๐ฎ๐ง๐ , ๐๐๐ฌ๐ฌ ๐ฌ๐ข๐๐ก ๐๐๐ฌ ๐๐๐ฐ๐ฎ๐ฌ๐ฌ๐ญ๐ฌ๐๐ข๐ง ๐รผ๐ซ ๐ฎ๐ง๐ฌ๐๐ซ๐ ๐ฉ๐ซ๐๐ครค๐ซ๐ ๐๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง ๐ฐ๐๐ข๐ญ๐๐ซ ๐๐ฎ๐ฌ๐๐ซ๐๐ข๐ญ๐๐ญโ ๐ ๐๐ซ๐๐๐ ๐ฃ๐๐ญ๐ณ๐ญ, ๐๐ ๐๐ข๐ ๐๐ง๐ญ๐ฐ๐ข๐๐ค๐ฅ๐ฎ๐ง๐ ๐๐ง ๐ข๐ฆ๐ฆ๐๐ซ ๐๐๐ฎ๐ญ๐ฅ๐ข๐๐ก๐๐ซ ๐ฐ๐๐ซ๐๐๐ง โ ๐ฎ๐ง๐ ๐๐๐ฌ ๐๐๐๐ฎ๐ซ๐๐ก ๐๐๐ฌ ๐๐๐ก๐ฅ๐ข๐ฆ๐ฆ๐ฌ๐ญ๐ ๐ฏ๐๐ซ๐ก๐ข๐ง๐๐๐ซ๐ญ ๐ฐ๐๐ซ๐๐๐ง ๐ค๐๐ง๐ง. ๐๐ข๐๐ฅ๐ฅ๐๐ข๐๐ก๐ญ ๐ครถ๐ง๐ง๐๐ง ๐ฐ๐ข๐ซ ๐๐ข๐๐ฌ๐ ๐๐ซ๐จร๐ ๐๐ง๐ญ๐๐ข๐ ๐ง๐ฎ๐ง๐ ๐ฏ๐๐ซ๐ก๐ข๐ง๐๐๐ซ๐ง, ๐ฐ๐๐ง๐ง ๐ฃ๐๐๐๐ซ ๐ฏ๐จ๐ง ๐ฎ๐ง๐ฌ ๐ฌ๐๐ข๐ง๐๐ง ๐๐๐ข๐ฅ ๐๐๐ณ๐ฎ ๐๐๐ข๐ญ๐ซรค๐ ๐ญ ๐ฎ๐ง๐ ๐ฆ๐ข๐ญ ๐๐๐๐ก๐๐ซ๐ฎ๐๐ค ๐ฌ๐๐ ๐ญ: ๐ฐ๐ข๐ซ ๐ฐ๐๐ซ๐๐๐ง ๐๐ข๐๐ฌ ๐ง๐ข๐๐ก๐ญ ๐ณ๐ฎ๐ฅ๐๐ฌ๐ฌ๐๐ง. ๐๐ฌ ๐ข๐ฌ๐ญ ๐๐ข๐ง ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐ค๐ญ. ๐๐ฌ ๐ข๐ฌ๐ญ ๐ง๐ข๐๐ก๐ญ ๐ซ๐๐๐ฅ.โ Davi
โค3๐ฅ1
๐๐ง๐ ๐ข๐ง๐ญ๐จ ๐ญ๐ก๐ ๐ฐ๐จ๐ซ๐ฅ๐ ๐จ๐ ๐๐จ๐จ๐ค๐ฌ ๐ ๐ ๐จ, ๐ญ๐จ ๐ฅ๐จ๐ฌ๐ ๐ฆ๐ฒ ๐ฆ๐ข๐ง๐ ๐๐ง๐ ๐๐ข๐ง๐ ๐ฆ๐ฒ ๐ฌ๐จ๐ฎ๐ฅ. Frei nach John Muir Mutige, gute und schรถne Medien โ๐ป mit Werten hier entdecken: ๐ https://eticamedia.eu/ ๐ t.me/eticamedia
โค5๐ฅฐ2
แด ษชแด แดษขแดษดแด แด 2030 แด แดส แด แดสแดษชษดแดแดษด ษดแดแดษชแดษดแดษด ษชษด 12 ษขแดแดแดษชษด๊ฑแดแดแดษด แด แดสแด๊ฐสษชแดสแดแดษดษขแดษด ๐๐ป und ihre รbersetzung durch Jacob Nordangรฅrd ๐, die beweist, dass รผber diese Narrative eine komplette รberwachung und die digitale Kontrolle der Menschen angestrebt wird. 1. Niemanden zurรผcklassen. โ eine grรผnere, sichere und bessere Welt, einschlieรlich eines Gesundheitssystems, in dem Impfstoffe fรผr alle verfรผgbar sind, fossile Brennstoffeโฆ
โค4๐ฅ3๐1๐ฏ1
โEs ist immer da, in Reichweite. Es zerbricht nie, man kann es in einer, besser aber in zwei Handflรคchen halten: Es ist ein Spiegel zum Aufblรคttern, eine Zeitmaschine, eine Tรผr zu einer anderen Weltโฆ ๏ฝ ๏ฝใ๏ฝ๏ฝ๏ฝใ ๏ฝ ๏ฝ๏ฝใ๏ผข๏ฝ๏ฝ h !โ Agnรจs Desarthe ๐@eticamedia ๐ https://eticamedia.eu/
โค12โคโ๐ฅ3
๐ถ AstraZeneca soll mit Bristol Myers Squibb รผber einen Zusammenschluss verhandeln, meldet die Financial Times. Dadurch wรผrde einer der weltweit grรถรten Pharmakonzerne mit einer bรถrsennotierten Spekulationssumme von fast $ 400 Milliarden entstehen. ๐น Bristol Myers Squibb beschรคftigte den Biowaffenforscher Maurice Hilleman, der auch Abteilungsleiter in Walter Reed Army Institute of Research war. Hillman arbeitete danaโฆ
๐ฅ2๐1
Mindcontrol durch Ebooks โEbook-Leser, insbesondere von Amazon-Kindle-Gerรคten, werden leider bei fast allem รผberwacht: wo ihre Augen verweilen, wo sie stehen bleiben, was sie รผberblรคttern, welche Vorlieben sie haben, was ihnen sonst noch gefรคllt, wann sie lesen, wie lange sie bei der Lektรผre bleiben, was ihnen auffรคllt, was ihnen gefรคllt und was nicht. Seit einigen Jahren durchlaufen zudem die Buchinhalte selbst eineโฆ
๐ฏ13๐4โค3๐3๐2
โ๐ธ๐๐ ๐๐๐๐๐ ๐๐, ๐ฃ๐ ๐๐๐๐๐๐๐๐๐, ๐ ๐๐๐ ๐๐ ๐๐ ๐ณ๐๐๐๐๐ ๐๐๐ ๐ป๐๐๐๐๐ ๐๐๐. ๐ป๐๐๐๐, ๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐ ๐๐๐ ๐ฟ๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐ ๐ธ๐๐๐๐๐๐๐ ๐ฃ๐ ๐๐๐๐๐๐๐, ๐๐๐ ๐๐๐ ๐๐๐๐๐๐, ๐๐๐ ๐๐๐ ๐๐๐๐๐๐ ๐ ๐๐๐ ๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ฃ๐." Christian Bobin Medien mit Mut, Herz und Haltung: ๐ https://eticamedia.eu ๐ t.me/eticamedia
โค12
https://apolut.net/im-gespraech-jacob-nordangard/ Totalรผberwachung - Leben im Panoptikum. Im Gesprรคch mit Jacob Nordangรฅrd Lesen und verstehen Sie โDie digitale Weltkontrolleโ ๐ als Warnung vor einer autoritรคren Technokratie. ๐ t.me/eticamedia
โค6
๐๐๐ฃ ๐รค๐ฅ๐ฅ๐ ๐๐๐๐๐๐๐ฅ, ๐๐๐ค๐ค ๐๐๐ค ๐๐ฆ๐ฅ๐ ๐๐๐ฅ๐ ๐น๐ฆ๐๐ ๐๐๐ฅ ๐ค๐๐๐๐๐ ๐๐ ๐๐ก๐๐๐ฅ๐๐ ๐๐๐ค๐ค๐๐ ๐๐ ๐๐๐๐๐ ๐๐๐ค๐ฅ๐๐ ๐ผ๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐๐ฅ๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐ค ๐๐๐๐๐ค ๐จ๐๐๐๐๐ฃ ๐๐๐ โ๐๐๐ ๐๐๐๐๐ฆ๐๐๐ ๐จรผ๐ฃ๐๐? ๐ Echtes Papier und das Blรคttern per Hand geben jeweils ein besonderes Gefรผhl fรผr Ordnung und รbersicht und die besondere Botschaft eines Textes. ๐ Darรผber hinaus bietet ein greifbares Buch den Vorteil wesentlich besserer Erinnerung, denn Lesen auf Papier โฆ
๐8
Whitney Webb, 30.07.26: โDie erste Trump-Regierung versuchte, das Konzept der โPre-Crimeโ-Prรคvention einzufรผhren, um Schieรereien und Terroranschlรคge โzu verhindern, bevor sie geschehenโ, indem sie Amerikaner anhand ihrer Aktivitรคten in den sozialen Medien durch kรผnstliche Intelligenz (KI) nach โneuropsychiatrischen Warnzeichenโ bewerten lieร. Der Justizminister der ersten Trump-Regierung, Bill Barr, schuf zudem im Jโฆ
๐ฅ5๐ฏ2โค1
โ๐๐ถ๐ป ๐๐น๐ถ๐ฐ๐ธ ๐ถ๐ป๐ ๐๐๐ฐ๐ต ๐๐ป๐ฑ ๐๐๐ฒ๐ถ ๐ถ๐ป๐ ๐๐ฒ๐ฏ๐ฒ๐ป, ๐ฑ๐ฎ๐ ๐๐ถ๐ฟ๐ฑ ๐ฑ๐ถ๐ฒ ๐ฟ๐ฒ๐ฐ๐ต๐๐ฒ ๐๐ผ๐ฟ๐บ ๐ฑ๐ฒ๐บ ๐๐ฒ๐ถ๐๐๐ฒ ๐ด๐ฒ๐ฏ๐ฒ๐ป.โ Im Sinne Goethes lenkt Whitney Webb, eine international angesehene investigative Journalistin, ihren scharfsinnigen Blick fรผr uns auf das gigantische Netzwerk und die Verbindungen zwischen Unternehmen, Regierungen und Geheimdiensten. Mit ihren mutigen Recherchen und der Fรคhigkeit, auch komplexe Machenschaften zu entwirren, gehรถrt sieโฆ
โค2๐1
Showing the 12 most recent of 19 posts we hold for @eticamedia. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
Citation-graph rank โ 12,146 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below โ republished posts weigh more than named mentions โ and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channelโs name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page โ a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 26 registered channels โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs 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.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason โ 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 โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 12 August 2026 โ this entry's latest reading, not the date you are reading this.
โEtica.Media ๐ Corage.Mediaโ (@eticamedia), 2,590 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/eticamedia.
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 ยท 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.