Telegram RegisterThe public register of Telegram

Channel

Parsa’s Note

@parsa_notes

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

608subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002580520829
TypeChannel
Username@parsa_notes
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/parsa_notes

Growth

6066086077 Aug 2026, 00:18 — 606 subscribers7 Aug 2026, 00:31 — 606 subscribers7 Aug 2026, 23:35 — 608 subscribers7 Aug 2026, 00:187 Aug 2026, 23:35
3 measurements taken within a single day, 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 606–608 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 23:35608+2
7 Aug 2026, 00:31606no change
7 Aug 2026, 00:18606first reading

Engagement

18 posts held, back to 13 June 2026the 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 · 30 days
86.8%
avg views ÷ 608 subscribers
Avg views / post
528
2 posts measured
Reaction rate
0.947%
reactions ÷ views · ER floor
Posts in window
2
of 18 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
WindowRolling 30 days · latest post in window 5 August 2026
Posts held18 (13 June 20265 August 2026)
Views total1,056
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 00:31 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

79 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 68.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5468.4%
👍2430.4%
👎11.27%

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 14 of the 18 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 79reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 13 June 2026 to 5 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 18 we hold a reading for · 11%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @parsa_notes. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 18 most recent posts we hold for this entry, published 13 June 2026 to 5 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

5 Aug 2026, 13:44 UTC251 views8 reactionsread 7 August 2026

«حتماً فکر کرده حرفم مسخره بود.» این رو تو سرت گفتی و باور کردی. اسمش ذهن‌خونیه. «بازم گند زدم، همیشه شکست می‌خورم.» ← تعمیم افراطی «اگه دیر جواب بده یعنی یه چیزی شده.» ← فاجعه‌سازی الگوی فکری خودت رو نمی‌بینی. نه چون حواست نیست؛ چون فکرِ خودت از داخل شبیهِ «واقعیت»ه، نه شبیهِ «خطا». خوندن این اسم‌ها آسونه. گرفتنِ مچ خودت موقع انجامشون، نه. — یه ربات و مینی اپ تلگرذم ساختم که این کارو می‌کنه. فکری که اذیتت کرد

8

29 Jul 2026, 22:29 UTC805 views2 reactionsread 7 August 2026

https://x.com/parsakzn/status/2082594053951004979?s=46

👍2

11 Jul 2026, 15:33 UTC≈1,750 views10 reactionsread 7 August 2026
Photo

https://cursor.com/evals مقایسه ی راحت و سریع بین فلگشیپ مدل ها

8👍2

7 Jul 2026, 23:12 UTC759 views3 reactionsread 7 August 2026

You spend your way forward. The right hundred dollars returns a thousand

3

6 Jul 2026, 23:31 UTC852 views4 reactionsread 7 August 2026

خلاصه موضوعش اینه که آیا مدل‌های زبانی مثل Claude یه چیزی شبیه «فکر کردن در سکوت» دارن یا نه. بذارید از یه مثال انسانی شروع کنیم. همین الان که این متن رو می‌خونی، مغزت داره هزار تا کار می‌کنه — نفس کشیدن، حفظ تعادل بدن، تبدیل این خط‌ها به کلمه. ولی تو به هیچ‌کدوم آگاه نیستی. فقط یه بخش کوچیک از پردازش مغزت «آگاهانه» بهت در دسترسه؛ چیزی که می‌تونی توصیفش کنی، کنترلش کنی، و باهاش استدلال کنی. Anthropic میگه یه چیز مشا

👍31

6 Jul 2026, 23:18 UTC594 viewsread 7 August 2026
File

ترجمه کامل “نگاهی به آنچه کلود می‌اندیشد اما نمی‌گوید” @parsa_notes

6 Jul 2026, 23:16 UTC764 views1 reactionsread 7 August 2026

https://www.anthropic.com/research/global-workspace

1

6 Jul 2026, 23:16 UTC788 views0 reactions1 Starread 7 August 2026
Video

همراه با زیر نویس فارسی اختصاصی @parsa_notes

6 Jul 2026, 23:15 UTC849 viewsread 7 August 2026

تا الان چندین مقاله و ریسرچ از ANTHROPIC تو این کانال پوشش دادم و بررسی کردیم؛ که یکی از جالب تریناش این بود. امروز یک مقاله جدید دادن که عملا به آگاهی در مدل Claude اشاره میشه 🫪🤯 در ادامه همراه باشید:

1 Jul 2026, 04:17 UTC734 views13 reactionsread 7 August 2026

خبر خوب امروز🤩🤩🤩😍

12👎1

Showing the 12 most recent of 18 posts we hold for @parsa_notes. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 224,585 of 1,169,250entries 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 3 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.

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

“Parsa’s Note” (@parsa_notes), 608 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/parsa_notes.

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.