Telegram RegisterThe public register of Telegram

Channel

The White Wolf

@heWhiteWolf

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

10,443subscribers

-13 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001470698351
TypeChannel
Username@heWhiteWolf
Created1 February 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/heWhiteWolf

Growth

10,44310,45610,449.56 August 2026 — 10,456 subscribers6 August 2026 — 10,454 subscribers7 August 2026 — 10,452 subscribers8 August 2026 — 10,454 subscribers9 August 2026 — 10,451 subscribers10 August 2026 — 10,446 subscribers11 August 2026 — 10,444 subscribers14 August 2026 — 10,443 subscribers6 August 202614 August 2026
8 measurements spanning 8 days, net -13. 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 10,441–10,458 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 01:1810,443-1
11 Aug 2026, 18:5610,444-2
10 Aug 2026, 17:5610,446-5
9 Aug 2026, 19:3110,451-3
8 Aug 2026, 20:5410,454+2
7 Aug 2026, 18:5710,452-2
6 Aug 2026, 20:4210,454-2
6 Aug 2026, 02:5210,456first reading

Engagement

167 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.83%
avg views ÷ 10,443 subscribers
Avg views / post
713
167 posts measured
Reaction rate
2.35%
reactions ÷ views · ER floor
Posts in window
167
of 167 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 144 of 167 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 12 August 2026
Posts held167 (5 August 202612 August 2026)
Views total119,031
Reactions total2,421
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 05:08 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

Video runtime
1h 14m
Average length
2m 34s

Measured directly from 29 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

2,102 reactions across 131 posts, in 39 distinct kinds. The most used accounts for 32.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍67232.0%
51424.5%
💯1265.99%
🤮1165.52%
🙏1085.14%
😁924.38%
🤣532.52%
🔥472.24%
👏452.14%
🤬442.09%
🥰422.00%
🤯341.62%
🤡291.38%
👎251.19%
😈251.19%
🙈251.19%
190.904%
💩160.761%
💊80.381%
🖕80.381%
19 further kinds542.57%

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 144 of the 167 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 2,421reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 167 most recent posts we hold, published 5 August 2026 to 12 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.

Recent posts

12 Aug 2026, 21:16 UTC429 views21 reactionsread 13 August 2026
Photo

Gute Nacht 🐺😴

13👍4🙏2🕊1🫡1

Signed Carsten Wacker

12 Aug 2026, 20:57 UTC481 views6 reactionsread 13 August 2026
Video

Exakt genau das was Lewis auch herausgefunden hat und deshalb heißt sein Buch auch " Die Schlüssel zur Unsterblichkeit "❗️ Der Körper ist eigentlich darauf ausgelegt 300 Jahre alt zu werden.... Vielleicht verstehen ja jetzt einige mehr was wir versuchen zu vermitteln... Beitrag auf Englisch...versteht man aber denke ich auch so.... Gefunden bei @t.me/Mad_In_Germany t.me/heWhiteWolf

👎3👏1🥴1😢1

Signed Carsten Wacker

12 Aug 2026, 20:03 UTC592 views9 reactionsread 13 August 2026
Photo

Der Aufstieg der Kollektiven Dummheit | Warum scheint kritisches Denken in einer Zeit grenzenloser Information immer seltener zu werden? Carlo Cipollas Theorie der menschlichen Dummheit zeigt, warum nicht fehlendes Wissen das eigentliche Problem ist – sondern die Art, wie wir denken, urteilen und uns gegenseitig bestätigen. https://youtu.be/LONt3bR8LrI?is=_VL9lu9I2-ypIL_p t.me/heWhiteWolf

👍81

Signed Carsten Wacker

12 Aug 2026, 19:32 UTC770 views16 reactionsread 13 August 2026
Photo

Danke Stivi 😉😂 Kann jeder selbst überprüfen.....❗️ Spoiler: Es stimmt❗️ t.me/heWhiteWolf

🤮11👍3💯2

Signed Carsten Wacker

12 Aug 2026, 18:47 UTC811 views18 reactionsread 13 August 2026
Photo

Die Büchse der Pandora: Dobrindt entfesselt die deutschen Geheimdienste❗️ Das Bundeskabinett hat einer Reform der Geheimdienste zugestimmt. Die Dienste erhalten mehr Befugnisse. Notwendig wurde das durch eine veränderte Bedrohungslage, wird argumentiert. https://m.bild.de/politik/inland/dobrindt-baut-verfassungsschutz-zum-geheimdienst-um-6a7adc6a67ddb2e13c583c09?source=puerto-reco-2_bild-V26.2.B_Lower_Aufmacher_Cur

🔥11🌚3👍31

Signed Carsten Wacker

12 Aug 2026, 18:38 UTC811 views27 reactionsread 13 August 2026
Photo

Ich sag lieber nix dazu.... t.me/heWhiteWolf

🤮19🤬5😈3

Signed Carsten Wacker

12 Aug 2026, 16:42 UTC820 views12 reactionsread 13 August 2026
Forwarded from @Sheepteacher

https://youtu.be/KBuRYq1fhIk?si=46YgLZSVr3ZB_2dH Das kannst du dir nicht vorstellen, was diese "Qualitätsmedien" für Gülle auskotzen. Klar denkende Menschen glauben doch nicht ein Wort davon.

🤣12

Signed Carsten Wacker

12 Aug 2026, 14:05 UTC794 views16 reactionsread 13 August 2026
Forwarded from @UNERZAHLTE_GESCHICHTENVideo

DAS GIGA-GESCHÄFT: Warum bezahlen wir für Ressourcen, die einst kostenlos waren? Elektrizität, Wasser, Treibstoff und Kommunikation – all diese Grundbedürfnisse des menschlichen Lebens wurden in ein globales Geschäftsmodell verwandelt, für die wir monatlich Tausende zahlen. Doch historische Dokumente enthüllen, dass die Menschheit einst Zugang zu einer unerschöpflichen, kostenlosen Energiequelle hatte: dem Äther. Um

👍1411

Signed Carsten Wacker

12 Aug 2026, 13:16 UTC887 views13 reactionsread 13 August 2026
Photo

Der EU-Wahnsinn❗️ Wer zahlt für die europäischen Ernteausfälle❓ In der EU wird es in diesem Jahr zu spürbaren Ernteausfällen kommen, die teilweise selbstverschuldet sind und dazu führen dürften, dass die EU von einem Exporteur von Lebensmitteln zu einem Importeur wird. Das wird zu steigenden Preisen in Europa und zu mehr Hunger in der Welt führen. Die Medien werden die Dürre in Europa für die Ernteausfälle verantw

👍10🤷21

Signed Carsten Wacker

12 Aug 2026, 11:54 UTC947 views33 reactionsread 13 August 2026
Photo

Ist heute schon mal Jemanden aufgefallen das der Himmel glasklar ist, Stahlblau in ganz Europa, keine Chemtrails😁 warum wohl, weil heute ziemlich viele Menschen in den Himmel schauen, wegen der Sonnenfinsternis, ist nur eine Vermutung meinerseits aber ich schaue jeden Tag nach oben und so einen Himmel habe ich Jahrelang nicht mehr gesehen 😏 Und es ist auch eine ganz andere Wärme wie sonst die letzten Wochen, nicht so

😁15👍105💯2🫡1

Signed Carsten Wacker

12 Aug 2026, 11:47 UTC778 views18 reactionsread 13 August 2026
Photo

Organspender "Adreno Chrom"? 😆 Sämtliche Medien verwendeten Bild mit offensichtlichen Botschaften Das Bild eines Organspende-Ausweis schlägt hohe Wellen. Viele große Medien (ARD, Berliner Zeitung, Focus, Deutschland.de..) und sogar eine Seite des Bundestags(!) verwendeten das Bild ohne auf die ausgefüllten Daten des abgebildeten Passes zu schauen: Chrom, Adreno (ich denke das ist selbsterklärend) Geburtstag: 01.01

😈13😁41

Signed Carsten Wacker

12 Aug 2026, 10:38 UTC919 views25 reactionsread 13 August 2026
Photo

😂😂😂 Danke Stivi 😉 t.me/heWhiteWolf

👍15😁91

Signed Carsten Wacker

Showing the 12 most recent of 167 posts we hold for @heWhiteWolf. 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.

Citation-graph rank

Citation-graph rank — 102,226 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — 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 channel’s 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 — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Named by 36 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“The White Wolf” (@heWhiteWolf), 10,443 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/heWhiteWolf.

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.