Channel
@Ai_Cognition
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
668subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001558171573 |
|---|---|
| Type | Channel |
| Username | @Ai_Cognition |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/Ai_Cognition |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 13:55 | 668 | no change |
| 10 Aug 2026, 13:01 | 668 | first reading |
17 posts held, back to 15 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 pageof Telegram’s 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) ÷ 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.
| Window | Rolling 30 days · latest post in window 21 July 2026 |
|---|---|
| Posts held | 17 (15 July 2026 – 21 July 2026) |
| Views total | 744 |
| Reactions total | 71 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 13:01 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.
84 reactions across 17 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 84 | 100.0% |
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 17 of the 17 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 84reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 15 July 2026 to 21 July 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.
پرامپت: Authentic smartphone photograph, iPhone color science, slightly overexposed natural light, 2K resolution, real-life candid quality, no studio lighting, no post-processing, UGC aesthetic, sharp subject, natural background. Create a realistic image of a girl wearing a tight white t-shert sitting at a table in the dark, with a white birthday cake with beautiful tiny flowers all around the cake. There are 5 simpl…
❤7
پرامپت: A cinematic coastal fashion portrait of an elegant woman standing by the ocean on a cloudy day, with long wawy dark hair wearing an oversized crisp white shirt with . Refined soft glam makeup with sharp winged eyeliner, sculpted brows, glowing skin and matte nude lips. Calm, contemplative expression while gazing into the distance, Right hand gently touching her hair. Elegant silver jewelry including layered b…
❤5
پرامپت: Use the face from the uploaded photo. Keep her appearance as much as possible to create a vertical triptych collage of three horizontal cinematic segments: Top panel: Extreme close-up of her eyes only, centered at eye-level. No full face visible. A dramatic diagonal shadow cuts across the eyes, while a warm light highlights the iris and surrounding skin against a dark, textured backdrop. Middle panel: A myste…
❤5
Photo, posted without a caption
❤5
پرامپت: Aspect ratio 4:5, ultra-modern fashion editorial designed like a luxury smartphone gallery interface. Multiple floating image cards stacked with subtle depth, each showing the same male fashion model in different editorial poses. Ul elements like timestamps, minimal captions, and soft shadows enhance realism. The central card is enlarged and glowing with warm sunset tones. Elegant cream blazer, silk top, stat…
❤5
پرامپت: تصویر را تحلیل کن و در اطراف عناصر اصلی آن، یادداشتهای هنری با دستخطی طبیعی اضافه کن (به زبان فارسی باشند). از خطوط نازک سفید با سبک طراحی تکخطی، کمی زبر و شبیه به اسکچ استفاده کن. لبههای اشیا را دنبال (Trace) کن و برای هدایت نگاه بیننده، از فلشها، مسیرهای نقطهچین و نشانگرهای ظریف استفاده کن. متن یادداشتها را متناسب با سوژه تنظیم کن: * نوشیدنیها: طعم، حسوحال و دما * غذاها: بافت، مزه و عطر * فضاها: …
❤5
Signed Yeganeh
پرامپت: create a cinematic streetwear photoshoot of a young man standing at a basketball court, don't change out fit, or face, keep the facial details same as uploaded the subject's head is slightly down covering face with hand, natural pose, multiple motion clones of the same person walking around him creating a motion blur effect, dramatic lighting, dark moody sky, high contrast, sharp focus on main subject, depth …
❤5
Signed Yeganeh
پرامپت: Portrait of a stylish young man with wavy light brown hair and a short beard, wearing reflective aviator sunglasses and a black tshirt . He is posing confidently in front of a solid teal background. Modern fashion style, sharp details, strong lighting, and a matching color theme with a cool, confident attitude 🌀 @Ai_Cognition
❤5
Signed Yeganeh
"Shot type: A vertical three-shot collage in an authentic 35mm film selfie style. Raw, unedited, and documentary-like with heavy grain, film imperfections, and an intimate realistic atmosphere. A beautiful young woman and her attractive boyfriend(match faces from the reference image). Their skin looks completely natural and textured with visible pores, slight smile lines around the eyes, and realistic imperfections. …
❤5
Signed Yeganeh
Photo, posted without a caption
❤4
Signed Yeganeh
پرامپت: Cinematic motion-blur photography shot on a Leica SLE with a 50mm Summilux at f/2.8, captured from a chest- evel frontal angle using slow shutter panning. Lighting setup: flat overcast daylight acting as soft diffusion, allowing long blur trails without harsh contrast. Color tone black and white inspired bv A24 films. Subiect: a 28 vear- old female model standing completely still, sharp eyes short curly hair,…
❤5
Signed Yeganeh
پرامپت: A soft cinematic outdoor photoshoot of a young woman in a grassy field during golden hour. She has long wavy brown hair, natural makeup, and a calm, dreamy expression. She is wearing an oversized grey knitted sweater and black pants. Multiple compositions: close-up portrait with hand near face, seated pose on grass with one arm raised over head, standing full-body shot with relaxed posture, and a mid-shot hol…
❤5
Signed Yeganeh
Showing the 12 most recent of 17 posts we hold for @Ai_Cognition. 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 — 993,445 of 1,480,688entries 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.
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.
Named by 1 registered channel — 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.
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.
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.
“هوش مصنوعی” (@Ai_Cognition), 668 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Ai_Cognition.
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.