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Africa Research Inst engagement report

@AfricaResearch - 98K followers on X

Measured over 14 original posts from a 30-day window, last computed on August 22, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 98K followers
Per impression
0.104%
962 views on a typical post
Reach
0.98%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.7/day
active 37% of days
Peak time
08:00 UTC
Tuesday

A typical post picks up 1 interaction against 98K followers, an engagement rate of 0.001%. Measured over 14 original posts, its engagement rate beats 4% of 3,882 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 962 times each, and 0.104% of those impressions turn into an interaction. That is about 0.979% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 21% carry an image or video and 71% link out. The account's strongest tracked post pulled 10K interactions, about 10440x its own typical post. Recurring topics include #lakechadbasin, #politics.

Measured over 14 original posts from a 30-day window, last computed on August 22, 2026. Recurring tags: #lakechadbasin, #politics.

Compared with accounts its own size

Africa Research Inst's engagement rate beats 4% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 6 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 6% 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 0.001%, Africa Research Inst sits below the 10th percentile of the 37,701 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 10, 202610440x their median

    In a hotel room in northeast Nigeria, I opened a leading AI chatbot, turned my laptop toward a former Boko Haram commander, and asked if he'd used it. He nodded. "You type in the question… like 'How can I build a bomb?', and then it tells you how. It is like a human robot. We used it a lot." My new study on how the jihadist terrorist group Boko Haram uses frontier AI with @CamAISciPolicy, covered today in @nytimes 🧵/9

    7.7K1.8K2786622.6M viewsView on X
  • Jun 7, 2026887x their median

    *** NEW BOOK ALERT *** Dear Friends, I am happy to share the cover of my forthcoming book co-written with the great and indefatigable @vijayprashad!!! The book will be available later this month from @inkanibooks, the amazing independent Pan-African Press. https://t.co/b9oDvLpXPx

    61724517830K viewsView on X
  • Aug 4, 2026370x their median

    I found this 1955 Nairobi map🗺 of its growing suburbs. I decided to georeference it to today to show how fast Nairobi has grown↗️. Some may say the small county is almost fully developed hence Kiambu , Machakos and Kajiado Metropolitan growth. https://t.co/snoLC2cz4T

    2598915737K viewsView on X
  • May 4, 2026264x their median

    How was the Boko Haram Army formed? For months, HumAngle has been investigating archival materials, interviewing a few first-generation members of the terror group, and speaking with victims. Now, we have answers and will be sharing them with you soon. But first, read how this story came to be. A HumAngle Investigation is Coming #TheBHarmy https://t.co/uRaoTPnvwj

    1786517475K viewsView on X
  • May 6, 2026167x their median

    Boko Haram has led to the deaths of over 350,000 people and displaced over three million more. But how did its army come to be? In this investigation, we speak to members, victims, and find archival materials to trace the strategy that made that army possible. #TheBHarmy https://t.co/YdPqypiDtF

    985231416K viewsView on X
  • Aug 18, 202681x their median

    Absolutely delighted for my friend Miles Tendi, who is now Professor of Politics at the University of Oxford. An underrated Zim story is the number of absolutely brilliant Zimbabwean academics quietly working in the United Kingdom, the US and others. Like Miles. Very well done.

    698224.6K viewsView on X
  • Jun 11, 202663x their median

    Today, my book - The #PoliticalEconomy of #Rwanda's Rise - was published with @CambridgeUP . The free #openaccess is available here: https://t.co/MRsjnLGYng. Hardback and paperback versions are available via the CUP website here: https://t.co/6jNtA4ppDJ. https://t.co/VAw4nzlaGq

    4616102.1K viewsView on X
  • Apr 27, 202654x their median

    The latest Issue of Africa in Fact @AfricainFact_, asks the question: "Can African cities move from being sites of "survival urbanisation" to becoming engines of sustainable, inclusive growth?" Read my article in the Issue, "Africa’s urban boom: A race to build inclusive, sustainable cities", with views and policy recommendations from Anacláudia Rossbach @AnacludiaRossb1 Executive Director of UN-Habitat @UNHABITAT 👉https://t.co/wGIoiWsmkY

    3712502.1K viewsView on X
  • Mar 14, 202347x their median

    Now seems like as good a time as any to repost @DrJoeAbah's lecture to mark @AfricaResearch Institute's 10th anniversary back in 2017: 'Reforming the public sector in #Nigeria'. With thanks and respect to the speaker, as always. https://t.co/xFT2IKOHLb

    26714011K viewsView on X
  • Jun 22, 202643x their median

    BusinessDay in Nigeria is helping us put the World Bank to strict proof: 1. These 4.5 million or so people in Nigeria it says its Mission 300 initiative has helped to connect to electricity since April 2024, where in the country are they? 2. How is that possible without completing some massive secondary infrastructure like power plants, mini-grids, transmission lines, or last-mile power cabling? 3. How come the DARES program it attributes a chunk of these new electricity connections to is only now just ramping up award contracts for the major infrastructure projects needed for additional connections? 4. Is the Bank just rebranding the results and gains from the earlier Nigerian Electrification Project that dates back to 2018? 5. There are also similar questions about the 7.5 million people in Tanzania supposedly connected to electricity since Mission 300 commenced in April 2024. 6. To connect an average of 1.25 million people in 40 countries across Africa in 2 years to electricity is not a small feat of infrastructure transformation. We need more insights into this magic. Mission 300 has a mandate to connect 300 million Africans to electricity by 2030. With 4 years left to the deadline, the World Bank was naturally under pressure to show that 20% of the task (50 million beneficiaries) is done and thus things are on course. We get that. But we are keen to ensure that by 2030, we won't still be rebranding results from pre-existing programs. We want to see 300 million people who would otherwise not have got electricity (had it not been for Mission 300) enjoying the blessed light of the grid. And we intend to stay on the neck of the World Bank until that happens. Amen. https://t.co/fttFB5RVTx

    2911303.1K 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

#lakechadbasin#politics

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 1 interaction against 98K followers, an engagement rate of 0.001%. Measured over 14 original posts, its engagement rate beats 4% of 3,882 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 962 times each, and 0.104% of those impressions turn into an interaction. That is about 0.979% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 21% carry an image or video and 71% link out. The account's strongest tracked post pulled 10K interactions, about 10440x its own typical post. Recurring topics include #lakechadbasin, #politics.

What is Africa Research Inst's engagement rate on X?
Africa Research Inst (@AfricaResearch) has an engagement rate of 0.001%, based on the median interactions across 14 original posts from the last 30 days against 98,304 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Africa Research Inst sits below the 10th percentile of the 37,701 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 @AfricaResearch have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (3,882 accounts), which puts it in the bottom 10% for its size 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 @AfricaResearch post?
Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 0.7 posts per day across the measured window.

Keep going

Africa Research Inst (@AfricaResearch) Engagement Rate - 0.001% | PlayerSells