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Fakta Bukan Auta engagement report

@FaktaBukanAuta - 304K followers on X

Measured over 49 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Middle of its size range
Per follower
0.131%
of 304K followers
Per impression
2.07%
19K views on a typical post
Reach
6.32%
of its followers see a post
Typical post
397
interactions (median)
Saved
0.104%
20 bookmarks on a typical post
Posting rate
2/day
active 70% of days
Peak time
08:00 UTC
Friday

A typical post picks up 397 interactions against 304K followers, an engagement rate of 0.131%. Measured over 49 original posts, its engagement rate beats 64% 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 19K times each, and 2.07% of those impressions turn into an interaction. That is about 6.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 49 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 9.5K interactions, about 24x its own typical post.

Measured over 49 original posts from a 30-day window, last computed on October 17, 2026. Recurring tag: #negerisembilan.

Compared with accounts its own size

Fakta Bukan Auta's engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 63% 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 0.131%, Fakta Bukan Auta sits above the 25th percentile of the 204,880 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 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 08:00 UTC, and Friday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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 381 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

  • Sep 22, 202624x their median

    Pendaki Crotia yg kena denda RM25,000 sebab panjat Gunung Kinabalu secara haram payung gambar laluan haram dia daki. Dia naik ikut Sungai Mesilou. Cantik sungguh gambar lembah yg belum dinoda ini! https://t.co/03U8Nlovb6

    7.6K1.7K6198967K viewsView on X
  • Sep 26, 202614x their median

    Nak tau ganas tak ganas kes 1MDB kena tanya anak jati Pendang ini. 32 tahun kerja SPRM, pengalaman siasat 1MDB paling dia tak boleh lupa - "Saya hampir mati sebab kes ini." Masa DS Shukri dapat task ini, peluru hidup dihantar ke rumah dia. Tapi ini biasa. Yg buat dia pelik ialah - Semua saksi yg SPRM nak panggil akan diganggu oleh individu tak dikenali. Depa tau mana? Yg buat dia tambah pelik lagi - saksi² SPRM tu dalam masa sama akan kena panggil oleh pihak berkuasa atau pasukan beruniform lain. Dah kenapa? 2x juga dia didatangi oleh seorg MP dari Utara offer dia - "Habaq mai you nak apa?" Satu hari dia nak pergi USA, tapi dia buat² macam nak pergi Arab Saudi, tapi bocor juga destinasi dia. Di USA dia kena ekori. Dia terpaksa lari guna train supaya kalau kena culik banyak mata jadi saksi. Sampai New York dia minta bantuan NYPD. Berminggu-minggu dapat perlindungan. Masa menyorok di USA ini dia menangis. Bukan sebab dia kena ekori, tapi sebab pegawai dia di Malaysia kena transfer, kena ugut dgn org atasan, yg kena tahan pun ada. Ini yg mengesankan dia, lalu dia mohon bersara awal pada Julai 2016. The rest is history.

    3.5K1.9K10262129K viewsView on X
  • Sep 24, 202610x their median

    Mana la ZRA jumpa Prof Madya ni! Walaupun ahli akademik tapi cara dia terang mudah org kg faham. 1) Aircond kita kalau 1HP tenaga dia +- 700 Watt. Kipas angin pula +-70 Watt. Pasang 1 aircond sedutan elektrik dia sama macam pasang 10 biji kipas. Cerek elektrik, seterika pun kuat elektrik tapi kita on 10-15 minit saja, tak rasa. Situ duduknya. 2) Lampu merah kelip² kat meter tu dia tengah kira bil kita. Pekakas yg kuat sedut letrik lampu merah tu akan kelip laju² & sebaliknya - bila² try perati. 3) Bila Malaysia dilanda musim panas ketara, suhu luar akan cecah 37°C. Bila kita on aircond, dia akan bekerja 2x ganda nak sejukkan rumah. Masa tu mau tau bil akan mencanak! 4) Dulu² caj tiang, pencawang, arang batu, apa bagai ni dikira sekali secara pukal, lani struktur bil lebih telus sebab dia tunjuk asing². Tapi bila buat camni orang kata TNB banyak caj, padahal caj ni dah wujud sejak dulu. 5) Banyak lagi yg diceritakan, kena tonton sendiri. Terima kasih Prof Madya! 🫱🏻‍🫲🏼

    3.0K1.0K1713101K viewsView on X
  • Aug 21, 20266.6x their median

    Tahukah anda 1MDB ada beli 70 ekar tanah TRX pada harga RM194 juta. Kemudian 1MDB pecah² lot tanah tersebut & pada 2015 dia jual 1.56 ekar kpd TH pada harga RM188.5 juta. ◾70 ekar harga RM194 juta ◾1.55 ekar harga RM188.5 juta Gila² punya markup pun TH mau beli. Sebabnya, CEO TH & BOD 1MDB adalah orang yg sama. Hari ini SPRM reman beliau 7 hari.

    1.7K834633484K viewsView on X
  • Aug 11, 20265.4x their median

    5 kali Gabenor BNM, TS Zeti utus surat amaran kpd Jamil Khir & Azeez Rahim peringat depa tentang kewangan TH kini dalam masalah bila asetnya lebih rendah dari tanggungan/liabiliti. TS Zeti sebenarnya tak perlu pun peringat TH, sebab TH bukan bawah kawalan BNM. Tapi mungkin sayang punya pasai. 5 kali peringat, 5 kali surat masuk bakul sampah. Akhirnya hujung 2017 - Aset TH ada RM70.3 bilion, manakala liabiliti RM74.4 bilion. Akta TH kata kalau nak bagi hibah aset kena lagi tinggi dari liabiliti. Dari sini idea kreatif perakaunan mai!

    1.4K729291896K viewsView on X
  • Aug 13, 20265.0x their median

    Pasca Tanah Melayu merdeka, Kerajaan belum ada cara utk mengukur tahap kemiskinan rakyat khususnya di luar bandar. Prof Ungku Aziz, seorang Pensyarah di UM yg baru berusia tengah 30-an hadir bawa jalan keluar. Dia bawa idea - teori Indeks Sarong, utk ukur tahap kemiskinan orang Melayu. Dia kata nak tau orang tu miskin tahap mana kira kain sarong dalam rumah. Kalau kain sarong cukup utk seisi rumah pakai, bermakna makan minum juga cukup. Kalau kain sarong yg sama dipakai utk aktiviti sehari-hari, dan terpaksa mengulang kain sama utk esok lusa, bermakna tahap kemiskinannya tinggi. Kalau di Barat ada teori ekonomi Indeks Big Mac yg popular tahun 1980-an. Tapi Indeks Sarong muncul jauh lebih awal dari idea Barat. Luar biasa pemikir ulung Prof Ungku Aziz! Al-Fatihah.

    1.6K372121486K viewsView on X
  • Sep 28, 20264.9x their median

    Sejarah mencatatkan Tun Hasmah sebagai Doktor Wanita Melayu Kedua terawal di Tanah Melayu selepas Tan Sri Dr Salma Ismail. Tanpa orang tahu siapa suaminya pun - Tun Hasmah sudah dikenali di Alor Setar kerana jasanya buka klinik sendiri dgn caj serendah $3 & $6 utk home visit. Jiwanya dalam bidang kedoktoran terpaksa dikorbankan kerana mahu luangkan lebih banyak masa dgn suaminya. Lalu ambil keputusan untuk bersara sebagai Doktor Perubatan pada tahun 1979. Besar jasanya pada keluarga, juga pada tanahair. Semoga ditempatkan di kalangan para solehin.

    1.4K5518149K viewsView on X
  • Aug 31, 20264.2x their median

    📢 Gamak bagi Tun M dok tengah panas, kenapa tak bagi seat vvip? Ini Pengerusi Jawatankuasa Kerja Sambutan Merdeka jawab - Jika mana² mantan PM nak join, amat dialu-alukan tapi pejabat mantan PM kenalah buat permohonan sebab amalan sejak 2018 lagi permohonan tidak secara auto. Dalam masa sama Urusetia tak jangka Tun M nak hadir sebab dari 28-31 Ogos 2026 sepatutnya Tun M ada di luar negara utk berehat. Kemudahan rehat pun dah diluluskan dari awal oleh PMO. ✅

    1.2K3864431129K viewsView on X
  • Oct 1, 20264.1x their median

    Dulu² orang kata AKPS ini agensi picisan. Dato Suhaily pindah sini umpama TS Zaman Khan pindah ke Penjara - senyap, tak popular, tunggu pencen. Depa taktau "tanjak" Suhaily makin tinggi. Ada rezeki jadi macam Bakri Omar - 27 tahun dalam PDRM, pindah AADK 2 tahun, kembali semula ke PDRM dan panjat jawatan IGP.

    1.3K35225562K viewsView on X
  • Sep 20, 20263.6x their median

    EXCO paling singkat menjawat jawatan dalam sejarah Malaysia! Tuanku Muhriz perkenan batal pelantikan semua barisan EXCO Kerajaan Negeri Sembilan berkuatkuasa serta merta. https://t.co/0Gf4VBVWAf

    927389634049K 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

#negerisembilan

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 397 interactions against 304K followers, an engagement rate of 0.131%. Measured over 49 original posts, its engagement rate beats 64% 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 19K times each, and 2.07% of those impressions turn into an interaction. That is about 6.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 08:00 UTC, and Friday is the busiest day of the week. Of the 49 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 9.5K interactions, about 24x its own typical post.

What is Fakta Bukan Auta's engagement rate on X?
Fakta Bukan Auta (@FaktaBukanAuta) has an engagement rate of 0.131%, based on the median interactions across 49 original posts from the last 30 days against 304,034 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.131%, Fakta Bukan Auta sits above the 25th percentile of the 204,880 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 @FaktaBukanAuta have real engagement?
Its engagement rate beats 64% 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 @FaktaBukanAuta post?
Most posts go out around 08:00 UTC, and Friday is its busiest day, at roughly 2 posts per day across the measured window.

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