Religion — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 13 October 2026 and assigned it the closest of 31 fixed categories, at 52% 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 the other topics.
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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 4 of the 4 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 15 comparable posts for this entry, running 27 July 2026 to 8 September 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).
Of the group of 3 channels, the one whose matching posts we hold earliest is @Elowen_27. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
7 measurements spanning 45 days, net -10. 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 222–235 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Nov 2026, 07:01
223
-2
2 Nov 2026, 04:19
225
-1
26 Oct 2026, 06:00
226
-2
19 Oct 2026, 21:46
228
+1
13 Oct 2026, 08:10
227
-4
3 Oct 2026, 02:41
231
-2
25 Sept 2026, 02:22
233
first reading
Engagement
20 posts held, back to 27 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 19 September 2026. An engagement rate over an empty window would be a number about nothing.
ليس لي شخصٌ مُفضل على وجه التحديد،
لكنني أحبّ كل شيء..
أحبّ الذين يمرّون خفيفين في القلب،
والذين يتركون خلفهم أثرًا لا يُرى،
أحبّ حديثًا عابرًا يجعل يومي ألطف،
وضَحكةً تأتي في وقتها،
ووجهًا أعرفه من بين الوجوه دون أن أعرف كيف..
لستُ ممّن يضعون قلبهم في جهةٍ واحدة؛
أتركه موزّعًا على التفاصيل،
على الأشياء الصغيرة التي لا ينتبه لها أحد،
فربما كان شخصٌ ما مُفضلًا لديّ في حديث،
وآخر في ضحكة،
وثالث في طمأنينةٍ لا أعرف مص…
أشكو إليك أمورًا أنت تعلمُها..
ما لي على حِملها صبرٌ ولا جَلدُ؛ كل الأمور التي -وحدك- تعلمها ويجهلها الناس حولي؛ الناس.. كُل الناس يا رب؛ أقرباء كانوا أو غُرباء.
أشكو إليك ضيق صدري من الأيام، وتتابع العثرات فوق ظهري وحبس العبرات بعيني، وتزاحم العِبارات في رأسي؛ غير أنني لا أنطق ولا أُجيد..
أشكو إليك وأنا على يقين تام أنك تسمعني وتراني، وأني مهما هُنت على الناس، فعليك - أبدًا - لن أهون، فبعزتك وجلالك ما قصدت وجهك ال…
تلك الصّلابة الّتي تراها في عينيّ اليوم لم تولد معي، بل هي نتاج معارك صامتةٍ خضتها بمفردي تمامًا. لقد هُدمتُ مرارًا، وفي كلّ مرّةٍ كنت أجمع غباري الشّارد وأبني منه جدارًا أقوى في وجه الأيّام. فلا تنبهر بالهدوء الّذي يخرج منّي الآن، بل احترم العتمة الّتي نجوتُ منها دون أن أفقد قبلتي.
ـ زَيد محمّد.
أغلى ما اكتسبته مؤخرًا هو أنني فهمت أن غاية الرحلة ليس الوصول ذاته،
لكن ما تجنيه خلالها من معارف طيبة، وصداقات آمنة، وخبرات راسخة..
عرفت قيمة الناس في حياة الناس، لا أحد يعيش بمفرده،
ولا أحد يعيش مع إنسان يثقله حضوره!
تعلمت أن الأدب، والكرم، والتغافل هم ما يبدأون العلاقات، ومن ثم يحفظونها،
إن لم يكن بالحب الخالص، فبالاحترام الحقيقي.
أدركت بالتجربة أن كسب المواقف لذته سريعة،
وأن الغضب يذهب أسرع،
وأن الكلمات الموجعة…
رافعًا رأسه مغمض العينين، يتنفس الصعداء، الريح تضرب وجهه، يظن أنه وجد ضالته وأن الرياح العاتية في قلبه قد استقرت،
فاتحًا مقلتيه ببطء هائمًا في السماء؛ حيث أنها في تلك الليلة كانت خالية بلا نجوم _فقط سوادٌ يعمُّ المكان_،
أدرك أخيرًا أن ذاك الضوء في آخر النفق لم يكن نهاية النفق بل كان جزءًا متصدعًا منه، وأنه ما زال حبيسًا لم يتحرر من أفكاره،
ما زال هناك شيء مفقود بداخله، كقطعة أحجية تائهة ومن دونها لا يكون لباقي الق…
«أدعو الله دومًا بالحب،
الحب الذي يحفظ بساطتي،
ويجعل الدفء يشرق في قلبي،
حبًا يشبهني، لا أشعر معه
أني ألهث كي أثبت شيئًا،
ولا أخشى أن أكون على طبيعتي،
حبًا صبورًا، يترفق بهفواتي وجهلي أحيانًا،
ويجعلني أشعر أنني محبوبة كما أنا»
أحيانًا لا يؤلمنا ما حدث بقدر ما يؤلمنا أنّه حدث في المكان الذي لم نُبقِ فيه مساحةً للخوف.
نُسقط حذرنا قليلًا،
ونترك بعض الأبواب مواربة،
لا لأنّنا لا نعرف كيف نحمي قلوبنا،
بل لأنّنا نظنّ أنّ ثَمّةَ أشياءَ لا تحتاج إلى حمايةٍ أمام بعض الوجوه.
ثمّ يحدث ما يجعلنا نُعيد ترتيب ظنوننا بهدوء،
لا غضبًا، ولا عتابًا،
وإنّما بدهشةٍ خافتة تقول:
كيف استطاع شيءٌ ظننّاه مأمنًا
أن يجعلنا نشتاق إلى حذرنا القديم؟
ربّما لم تكن الحك…
Showing the 12 most recent of 20 posts we hold for @pharmacesis. 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.
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.
˼ حبر أسود ˹ @blackink0 · 22,375 Telegram ranks this channel #19 of 83 here — alongside 82 others — read 25 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“للهِ فـــــؤادُهــــــا🤎 𓂆.” (@pharmacesis), 223 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/pharmacesis.
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.
