Sources Ibn Khaldun talked about the injustice of the Almohads but this quote can also apply to the timurids as well “A state which is harsh in doctrine and oppressive in governance loses its territory more to internal weakness than to external assault.” Ibn Khaldun also states “A state built on fear and extreme ideology may conquer quickly, but without solidarity and justice, it cannot endure.” And yes I know he is …

Channel
JizyaHistory
@JizyaHistory
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
78subscribers
+0 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 | -1002280071457 |
|---|---|
| Type | Channel |
| Username | @JizyaHistory |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/JizyaHistory |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 20:15 | 78 | no change |
| 7 Aug 2026, 03:00 | 78 | first reading |
Engagement
16 posts held, back to 20 January 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 · 30 days
- 31.0%
- avg views ÷ 78 subscribers
- Avg views / post
- 24.2
- 5 posts measured
- Reaction rate
- 4.35%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 16 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 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 July 2026 |
|---|---|
| Posts held | 16 (20 January 2026 – 27 July 2026) |
| Views total | 121 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 20:15 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
- Photos
- 33
- Videos
- 4
- Links
- 29
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
13 reactions across 5 posts, in 5 distinct kinds. The most used accounts for 38.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 38.5% | |
| 🤮 | 3 | 23.1% | |
| 💯 | 2 | 15.4% | |
| 🥰 | 2 | 15.4% | |
| 👍 | 1 | 7.69% |
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 5 of the 16 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 20 January 2026 to 27 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.
Recent posts
Then there was the maturdi Sufi Tamerlane or emir Timur who was essentially a Gengis khan wannabe. He conquered Central Asia, Persia, Iraq and the caucuses and Golden Horde and Syria and killed millions of Muslims in the process he often did collective punishment of entire Muslim cities because their governors rebelled and he built mountains of skulls and he sacked Delhi and Baghdad and Damascus. Even after meeting I…
👍1
Heres the Citations from Islamic scholars and western academics I would note some of the citations from the scholars sounds like it’s criticizing today’s rulers or any government for that matter. That’s not what this post is for its showing the citations and discussing history let’s begin “When innovations appear in a state and the people of truth are oppressed, the enemies of Islam are given power over them.” — Ibn…
First the Almohads. When the Christians in the north of Spain conquered Toledo in 1085 the Muslim taifias called the Almoravids for help the Almoravids helped them and stoped the Christians in their expansion. But the Almoravids collapsed and were replaced by the Almohads was founded by Ibn Tumart who claimed to be the Madhi the Almohads and Ibn Tumart were Asharis with influncw from the Mutaziliah and they persecute…
Assalamulikum we have seen how certain groups have always tried to claim that “wahabis” have caused the most harm to the ummah and are the most sectarian in the ummah. However I will show that it’s incorrect as the groups that caused the most harm to the ummah were the Sufis and asharis and maturdis.
MUSLIM CONQUESTS OF THE EAST Abū Bakr رضي الله عنه sent the commander Khālid ibn al-Walīd رضي الله عنه to Iraq at the head of 18,000 men. He defeated the Magian Persians and their allies from among the Arabs of al-Ḥīrah and al-Jazīrah. Al-Ḥīrah, with its fort, fell at his hands. Then he began to clear all the areas west of the Euphrates of Persian forces, and he won fifteen battles. Before he could march to al-Madāʾ…
🥰2
🟢 قرآن خطای تاریخی کتاب مقدس(کتب یهود و مسیحیت)را اصلاح میکند 🖤قرآن در روایت داستان یوسف، به اصلاح برخی خطاهای موجود در متن کتاب مقدس میپردازد. در این روایت، قرآن از «پادشاه مصر» یاد میکند («پادشاه گفت: او را نزد من بیاورید»)، در حالی که تورات از عنوان «فرعون» استفاده کرده است (سفر پیدایش :۳۹:۱ : «و یوسف به مصر برده شد؛ و فوطیفار، مردی مصری و از صاحبمنصبان فرعون، رئیس محافظان، او را از اسماعیلیانی که وی را به آن…
Whenever you see an image of an Arab merchant selling a naked concubine than know it was made by an orientalist who was projecting their fetish unto the Muslims and were jealous they couldn’t have concubines .
💯2
In summary white western Christians were already making 🌽fantasies about Muslim women way before 🌽was invented .
Photo, posted without a caption
🤮3
Source “📌 Colonial Forced Labor & Mortality (Asia & Africa) 1) Java (Dutch East Indies) — Forced Labor & Mortality de Zwart, Pim, Daniel Gallardo‑Albarrán, and Auke Rijpma. “The Demographic Effects of Colonialism: Forced Labor and Mortality in Java, 1834–1879.” The Journal of Economic History, vol. 82, no. 1, Mar. 2022, pp. 211–249. Cambridge University Press. This peer‑reviewed article uses quantitative demographi…
“🧭 1. How Colonial Famines Were Structurally Engineered Most colonial famines were not natural disasters. They were caused or intensified by policy. 🔧 Mechanisms ✅ Cash-crop monoculture Colonial governments forced farmers to grow: • Cotton • Sugar • Coffee • Rubber • Indigo Instead of food. When drought or disruption happened, there was: • No food reserve • No crop diversity • No emergency buffer India,…
Showing the 12 most recent of 16 posts we hold for @JizyaHistory. 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 — 1,185,319 of 1,481,502entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“JizyaHistory” (@JizyaHistory), 78 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/JizyaHistory.
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.