4 measurements spanning 4 days, net +2. 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 1,526–1,528 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 03:58
1,528
+1
6 Aug 2026, 19:55
1,527
+1
6 Aug 2026, 11:36
1,526
no change
6 Aug 2026, 10:45
1,526
first reading
Engagement
21 posts held, back to 31 July 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
46.9%
avg views ÷ 1,528 subscribers
Avg views / post
717
21 posts measured
Reaction rate
1.72%
reactions ÷ views · ER floor
Posts in window
21
of 21 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
21 (31 July 2026 – 7 August 2026)
Views total
15,054
Reactions total
259
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:09 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.
Reaction mix
259 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 38.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
100
38.6%
👎
44
17.0%
👏
33
12.7%
😱
25
9.65%
❤
16
6.18%
🤔
16
6.18%
😁
15
5.79%
🎉
6
2.32%
😢
4
1.54%
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 21 of the 21 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 259reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 31 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.
« L’objectif est la vaccination de tout le monde – 7 Milliards de doses simples ou 14 Milliards de doses doubles … Le volume de production sera sans précédent. »
Bill Gates à Anthony Fauci, 22 avril 2020 https://lilianeheldkhawam.com/2026/08/07/la-strategie-vaccinale-a-larnm-avance-inexorablement-alors-que-lopinion-publique-est-focalisee-sur-anthony-fauci-un-fusible-de-85-ans/
En 2024 : 2 709 bébés morts avant 1 an. Taux 4,1 ‰. France 23ᵉ sur 27 dans l’UE.
Le Canard enchaîné révèle que, sous le gouvernement de Sébastien Lecornu, la ministre de la Santé Stéphanie Rist a enterré le rapport qui devait expliquer pourquoi. https://x.com/Jonatha60007393/status/2084977035772911840/photo/1
HILARANT- L'avenir des relations sociales via l'IA. Et quand le maximum de temps offert est atteint, ça donne ça! 😂 : https://x.com/alphafox/status/1975679120898965947/video/1
FAUCI présentait le le système immunitaire comme meilleure défense pour combattre la grippe. Mais ceci était AVANT le vaccin COVID. https://x.com/iAnonPatriot/status/2083973313118757357/video/1
PREPARATION DE L'IVERMECTINE A DOMICILE La recette naturelle d’ivermectine maison est simple. Pour fabriquer de l'ivermectine naturelle à la maison, vous avez besoin des ingrédients suivants :
• 1 cuillère à café de feuilles d'absinthe douce séchées
• 30 gouttes de teinture d'absinthe
• 1 tasse de miel brut d'eau chaude (facultatif)
Préparation
Ébouillantez 1 cuillère à café d'herbe d'absinthe douce dans une tasse…
UE ET PANIQUE CLIMATIQUE! Le climat ne fait plus partie des top priorité s de l'UE comme cela a pu l'être durant une décennie! On a fini de faire le plein du business et des sommes folles qu'il a pu générer. Business dont a bénéficié en priorité la mafia. Cela est documenté!
BGates à Fauci, 22.4.2020 « L'objectif est la vaccination de tout le monde - 7 Mrd. Doses simples ou 14 Mrd. Doses doubles ... Le volume de production sera sans précédent. » Au même moment, on racontait aux citoyens qu'il n'existait aucun vaccin contre la Covid. Contexte : Ce qui est étonnant, c'est la date précoce à laquelle un oligarque non diplômé a écrit à l'agence de santé américaine pour indiquer la directi…
Le banquier qui recommande à M Macron la nationalisation du foncier en France https://lilianeheldkhawam.com/2020/01/06/un-banquier-a-la-tete-de-france-strategie-le-think-tank-qui-a-donne-lidee-de-la-nationalisation-dune-partie-du-parc-immobilier/
Ce qu'on ne vous dit pas sur l'eau et l'agriculture en France.
• La France reçoit 180 milliards de m³ de pluie efficace. L'agriculture prélève 3 milliards de m³/an. Soit 1,7% de la ressource. Pas exactement le pillage qu'on décrit.
• Et sur ces 3 Mds de m³ prélevés, 75% retournent dans l'atmosphère via les plantes. L'eau ne disparaît pas : elle suit un cycle naturel fermé depuis 3,8 milliards d'années.
• L'agricultur…
Le célèbre biologiste du cancer mondial Thomas Seyfried, PhD, révèle « maintenant nous avons un mécanisme expliquant pourquoi les médicaments antiparasitaires fonctionnent ».
Professeur Thomas Seyfried : « Mebendazol, Fenbendazol [J'ai] fait une recherche approfondie là-dessus et j'ai dit, pourquoi les médicaments antiparasitaires fonctionnent contre les cellules cancéreuses, et il s'avère que les parasites utilisent…
👍11❤5
Signed LHK
Showing the 12 most recent of 21 posts we hold for @depossession. 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 — 171,158 of 1,160,990entries 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
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“lilianeheldkhawam.com” (@depossession), 1,528 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/depossession.
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.