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عبدالله العصيمي | Abdullah al osaimi engagement report

@mdar_aljadi - 107K followers on X

Measured over 24 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.067%
of 107K followers
Per impression
0.301%
24K views on a typical post
Reach
22.1%
of its followers see a post
Typical post
71
interactions (median)
Saved
0.021%
5 bookmarks on a typical post
Posting rate
1.17/day
active 43% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 71 interactions against 107K followers, an engagement rate of 0.067%. Measured over 24 original posts, its engagement rate beats 44% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 24K times each, and 0.301% of those impressions turn into an interaction. That is about 22.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 83% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 180 interactions, about 2.5x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on October 12, 2026. Recurring tag: #النينو.

Compared with accounts its own size

عبدالله العصيمي | Abdullah al osaimi's engagement rate beats 44% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 15% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.067%, عبدالله العصيمي | Abdullah al osaimi sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 18:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video83% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 356 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 10, 20262.5x their median

    رغم نشاط ظاهرة #النينو القوية إلا ان المؤشرات المناخية حتى الآن تشير إلى موسم بارد جدا وأمطار أقل من المعدل العام شهر اكتوبر غالبا هو الأفضل مع بداية مبكرة في بعض المناطق التوقعات الموسمية تُبنى على الكثير من العوامل ولا تعتمد عامل واحد فقط والمزيد من التفاصيل لاحقا بإذن الله https://t.co/WXQNdAV5Ip

    862170384K viewsView on X
  • Oct 8, 20262.5x their median

    حسب الخرائط شهر اكتوبر هادئ حتى الان مع توقعات شمالية متفرقة لا يوجد نشاط استثنائي او امطار غير معتادة كما ظهر في بعض التقارير وروج له البعض منذ عدة اشهر عندما تعتمد التوقعات على الوضع القياسي فقط وتنظر إلى عامل واحد مثل #النينو تكثر الأخطاء https://t.co/nmWFhW4yG5

    1032349252K viewsView on X
  • Aug 14, 20262.3x their median

    بالنسبة لحالة #النينو هذا الموسم اغلب المعطيات المناخية حتى الان تقول أنها مختلفة عن حالات النينو القوية السابقة ولا تتشابه مع 1877 ، 1982 ، 1997 وحتى 2015 وتتشابه بدرجة كبيرة مع موسم 1888 وتتميز بانخفاض الضغط الجوي الشديد شرق أوروبا وتتركز أفضليتها على بلاد الشام خصوصا شرقها وشمال وشرق العراق مع نتائج قد تكون ضعيفة في الجزيرة العربية كما تتميز بالبرودة الشديدة في اغلب المناطق

    912549060K viewsView on X
  • Sep 10, 20262.1x their median

    الإيجابية هذا الموسم يتوقع ان تتركز بإذن الله على الشام والعراق خصوصا شماله وشرقه وأجزاء من شمال شرق الجزيرة العربية وهذا عكس المعتاد في مواسم #النينو القوية التي عادة ما تكون شاملة هذه المؤشرات اعتمدت العوامل الديناميكية المناخية وكذلك دراسة سنوات التشابه والعامل الاحصائي وهي لاتتأثر بتوقعات النماذج الموسمية بل إنها في كثير من الأحيان تقوم بتصحيح الأخطاء في النماذج، والله اعلم

    962135040K viewsView on X
  • Aug 30, 20262.1x their median

    اشتداد حالة #النينو مبكرا منذ الصيف ليس عامل ايجابي دائما ولايعني بالضرورة انه سيزداد قوة مع مرور الوقت احيانا مع النشاط الطويل يحدث خمول للظاهرة المناخية او تراجع وقد تكون استجابة الغلاف الجوي ضعيفة الوضع الأفضل للظواهر المناخية ان يكون نشاطها بشكل متصاعد وتدريجي وتبلغ الذروة مع بداية موسم الأمطار وليس قبل ذلك، والله أعلم

    902433257K viewsView on X
  • Sep 17, 20261.9x their median

    يوجد الكثير من الصعوبات التي تواجه توقعات هذا الموسم وقد تسبب فشل الكثير من توقعات النماذج والنشرات الموسمية وأهمها هي سنوات التشابه القليلة جدا مع هذا الموسم وأقربها قبل اكثر من 50 سنة معظم سنوات #النينو القوية التي حدثت في المواسم الأخيرة مثل 1982، 1997، 2015 لا تتشابه مع هذا الموسم احصائيا ولا حتى ديناميكيا وهناك اختلافات كثيرة ولهذا السبب تم تأجيل التوقعات الموسمية حتى نهاية سبتمبر او بداية اكتوبر للحصول على نتائج أكثر دقة بإذن الله

    761445134K viewsView on X
  • Sep 23, 20261.8x their median

    الحذر من الاندفاع خلف النماذج الموسمية والتي غالبا تعاني من انحياز النينو وتقوم آليا برسم خرائط ممطرة لأنها مبرمجة على السلوك الكلاسيكي العام النماذج تفتقر المرونة ولا تنظر إلى العامل الاحصائي او الاختلافات بل تترجم المعادلات اللحظية وتعتمد الوضع القياسي الثابت في مواسم النينو https://t.co/Es0oB8YiX4

    851726028K viewsView on X
  • Sep 6, 20261.8x their median

    عادة تنظيم الغلاف الجوي في مواسم #النينو القوية يتميز بمنخفضات جوية شمال الأطلسي تتحرك جنوب شرق في اتجاه وسط وشرق البحر المتوسط ثم الجزيرة العربية وذلك بسبب سيطرة المرتفعات الجوية على شرق وجنوب شرق أوروبا حتى تركيا وتسبب ضعف وتباعد خطوط التيار النفاث وسهوله تعمقه جنوبا وينتج عنه بإذن الله موجات علوية هادئة ومستقرة سطحيا تفيد بالدرجة الأولى مناطق الجزيرة العربية وجنوب بلاد الشام

    892513044K viewsView on X
  • Sep 23, 20261.7x their median

    https://t.co/F5fP7GoVZL

    692527157K viewsView on X
  • Sep 11, 20261.7x their median

    هذه التوقعات غير صحيحة وضعيفة علميا لسبب بسيط انخفاض الضغط الجوي الشديد شرق أوروبا قد يفيد بعض مناطق الشام والعراق خصوصا الشمالية منها ولكنه غالبا عامل سلبي للجزيرة العربية لأنه يقوم بتنشيط التيار النفاث شمالا وهذا بمثابة المغذي والمقوي للمرتفع المداريّ الجاف ويجلب المزيد من الهواء الساخن في طبقات الجو العليا من المناطق الجنوبية

    651639138K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#النينو

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 71 interactions against 107K followers, an engagement rate of 0.067%. Measured over 24 original posts, its engagement rate beats 44% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 24K times each, and 0.301% of those impressions turn into an interaction. That is about 22.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 83% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 180 interactions, about 2.5x its own typical post.

What is عبدالله العصيمي | Abdullah al osaimi's engagement rate on X?
عبدالله العصيمي | Abdullah al osaimi (@mdar_aljadi) has an engagement rate of 0.067%, based on the median interactions across 24 original posts from the last 30 days against 106,900 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.067%, عبدالله العصيمي | Abdullah al osaimi sits above the 25th percentile of the 205,261 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @mdar_aljadi have real engagement?
Its engagement rate beats 44% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @mdar_aljadi post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.17 posts per day across the measured window.

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