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محمد فاضلی engagement report

@Mfazeli114 - 162K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.037%
of 162K followers
Per impression
0.947%
6.4K views on a typical post
Reach
3.94%
of its followers see a post
Typical post
60
interactions (median)
Saved
0.086%
6 bookmarks on a typical post
Posting rate
1.3/day
active 63% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 60 interactions against 162K followers, an engagement rate of 0.037%. Measured over 18 original posts, its engagement rate beats 37% 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 6.4K times each, and 0.947% of those impressions turn into an interaction. That is about 3.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 78% carry an image or video and 78% link out. The account's strongest tracked post pulled 9.1K interactions, about 152x its own typical post. Recurring topics include #بازدارندگی_اتمی, #محور_مقاومت, #ایران‌تاک.

Measured over 18 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #بازدارندگی_اتمی, #محور_مقاومت, #ایران‌تاک.

Compared with accounts its own size

محمد فاضلی's engagement rate beats 37% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 40% 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 0.037%, محمد فاضلی sits above the 25th percentile of the 204,694 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 15:00 UTC, and Tuesday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video78% of posts+111%+108% to +115%34K
Outbound link78% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 78% 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.
  • 78% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 271 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Feb 24, 2026152x their median

    حمله آمریکا ویرانی عظیم به بار می‌آورد که تا دهه‌ها بازسازی نمی‌شود. توسعه و دموکراسی هم به بار نمی‌آورد. اگر به هدفشان برسند نظم فرومی‌پاشد و خشونت سر برمی‌آورد؛ اگر نرسند ویرانی می‌ماند و تداوم وخیم‌تر وضع فعلی، هر دو نکبت. ترامپ هم همین را گفته، سربسته! شر در راه است. دور باد.

    5.3K5243.2K158402K viewsView on X
  • Jul 28, 202038x their median

    من و جمعی از دوستان‌عزیز تلاش می‌کنیم در کنار بودن‌مان در #فضای‌مجازی، از این فرصت در کنارهم‌بودن استفاده کرده و در حد توان از همنوعان‌مان دستگیری کنیم. اینکه چه مقداری موفق شویم به‌جای خود ولی تلاش‌مان را می‌کنیم. اگر دوست داشتید همراه شوید،دایرکت در خدمتم #ریتوئیت #کارخیر

    1.6K34729044View on X
  • Oct 17, 20267.3x their median

    گفت‌وگویی صوتی و سه‌ساعته با جناب دکتر محمد فاضلی (@Mfazeli114) در ایران‌تاک (@IranTalk_sn) داشتم. فرصت خوبی بود تا درباره موضوعات مختلف به‌تفصیل صحبت کنیم. از ایشان بابت این فرصت و گفت‌وگوی ارزشمند سپاسگزارم. این گفت‌وگو به‌زودی در ایران‌تاک منتشر خواهد شد.

    4001814435K viewsView on X
  • Sep 12, 20266.9x their median

    #رشتو به بهانه خبر #میانجی_گری_چین **شی جین پینگ در هند چه گفت و ما در ایران چه شنیدیم؟ ** https://t.co/fQlLUF40mS

    3267111444K viewsView on X
  • Aug 30, 20264.0x their median

    #صادق_الحسینی استدلال می‌کند که همه راهکارهای ارائه‌شده توسط وزارت نفت، سازمان برنامه و بودجه، و سایر راه‌حل‌ها در مقابل طرحی که مبتنی بر دادن سهمیه استفاده از #بنزین یارانه‌ای به صورت مساوی به همه مردم است، ناکارآمد و با عوارض بیشتر است. https://t.co/iU7Hjrz4L2 @alhosseini https://t.co/vWzEVUXJUN

    156233031128K viewsView on X
  • Sep 15, 20263.9x their median

    مسعود نیلی در اوایل دهه هشتاد استراتژی توسعه صنعتی ایران را نوشت ولی معتقد است حکمرانی آن زمان ظرفیت تصویب و اجرای آن‌را نداشت. او و همکارانش دو دهه بعد دوباره روندهای صنعت ایران را بررسی کرده و چالش‌های صنعتی‌شدن ایران را برشمرده‌اند. دیدن گفت‌وگو https://t.co/ODLywivYnC https://t.co/1QfHv84PoU

    1932114654K viewsView on X
  • Oct 21, 20263.8x their median

    حسین قتیب معتقد است مجموعه شرایط و توان اقتصادی و بین‌المللی ایران برای رسیدن به بازدارندگی متعارف و برقراری توازن امنیتی با اسرائیل کفایت ندارد و ایران ناگزیر است به سمت بازدارندگی اتمی حرکت کند. https://t.co/R9J3V9Nvq0 #حسین_قتیب #بازدارندگی_اتمی https://t.co/5KEpH4ZR4z

    16016331842K viewsView on X
  • Aug 25, 20262.4x their median

    محسن یزدان‌پناه، اقتصاددان، از شیوه نادرست مواجه شدن برخی مسئولان دولتی با مسأله بنزین می‌گوید. https://t.co/U13hOt5CqU گفت‌وگویی تفصیلی درباره مسأله بنزین، نقد راهکار دولت و ارائه راهکار جایگزین است. https://t.co/QZIUHrYzAD

    110169845K viewsView on X
  • Sep 16, 20262.2x their median

    مسعود نیلی در این گفت‌وگو بخشی از تاریخ سیاسی و سیاستی بحران در اقتصاد و ناکامی در صنعتی‌شدن ایران را شرح می‌کند. دیدن گفت‌وگو https://t.co/ODLywivYnC شما کسی را می‌شناسید که از مصوبات مجلس هفتم برای تثبیت قیمت‌ها دفاع کند؟ #تثبیت_قیمت https://t.co/y9NsLn3n21

    97169920K viewsView on X
  • Aug 24, 20262.1x their median

    این آخرین بخش از شرح کتاب «بر لبه تنهایی: روایت کلان‌راهبرد امنیت ملی ایران» نوشته ولی نصر است. نویسنده در سه فصل پایانی، هزینه‌های موفقیت محور مقاومت، روند و عواقب پرونده هسته‌ای، وقایع بعد از هفت اکتبر ۲۰۲۳ و معماهای امنیت ملی را تحلیل می‌کند. https://t.co/9IqcQIZ5K0 https://t.co/PbPqt1I9en

    1189025.9K 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

#بازدارندگی_اتمی#محور_مقاومت#ایران‌تاک#تحریم#جبار_رحمانی

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 60 interactions against 162K followers, an engagement rate of 0.037%. Measured over 18 original posts, its engagement rate beats 37% 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 6.4K times each, and 0.947% of those impressions turn into an interaction. That is about 3.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 78% carry an image or video and 78% link out. The account's strongest tracked post pulled 9.1K interactions, about 152x its own typical post. Recurring topics include #بازدارندگی_اتمی, #محور_مقاومت, #ایران‌تاک.

What is محمد فاضلی's engagement rate on X?
محمد فاضلی (@Mfazeli114) has an engagement rate of 0.037%, based on the median interactions across 18 original posts from the last 30 days against 162,063 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.037%, محمد فاضلی sits above the 25th percentile of the 204,694 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 @Mfazeli114 have real engagement?
Its engagement rate beats 37% 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 @Mfazeli114 post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 1.3 posts per day across the measured window.

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