Sharp

I’ve come to realize something deep lately. For years I’ve struggled with setbacks, especially financially — and I couldn’t understand why. Last night, after joining the Hallelujah Challenge with Pastor Nathaniel, I prayed and asked God to show me what I was doing wrong.

Unopposed ✌🏼✌🏼✌🏼

@FabrizioRomano Football is back!!!!!!!!

🚨 BREAKING: José Mourinho back to Real Madrid, HERE WE GO! 💣🤍 All terms have been verbally agreed between José Mourinho and Real Madrid, waiting to sign all documents. Plan for initial two year deal, JM to travel to Madrid after Real-Bilbao game. The Special One is back.

I am Nigerian, and right now my dream is bigger than me. Only about 4.5% of medical literature globally are represented on Black skin. That means millions of Black patients are learning from systems that barely look like them. Medical students study diseases on skin tones that are not their own. Doctors are trained with visual references that often fail Black bodies. That gap has consequences. So I am deciding to build towards changing it. I’m starting with a book. But the larger vision is far beyond that. I want to help build software and medical visualization tools that make Black medical representation impossible to ignore. This is not just about diversity aesthetics, this is about accuracy, education, visibility and better healthcare outcomes. One day, I want a Black child studying medicine anywhere on earth to see themselves fully represented in what they learn. And I believe we can build that future.

Chelsea Football Club is delighted to announce the appointment of Xabi Alonso as Manager of the Men’s Team. The Spaniard will begin his role on July 1, 2026, having agreed a four-year contract at Stamford Bridge. Welcome to Chelsea, Xabi!

Coupe du Monde, Partie 3. Un fierté immense de pouvoir une nouvelle fois représenter mon pays dans la plus grande des compétitions. On va essayer de vous rendre fiers. 🇫🇷🙏🏽💫 @equipedefrance

90 mins depends on ref....

America has 50 states. And every single one of them operates under its own laws, courts, policing systems, and legal culture while still being bound by federal law. That is the difference. The United States understood something long ago that Nigeria still refuses to confront: You cannot effectively govern hundreds of millions of people with completely different realities from one central authority. In America, federal law handles national matters: immigration national security constitutional rights interstate crimes currency But individual states control much of what affects daily life: policing criminal justice business regulations education taxation property law civil disputes So what works in Texas does not have to be forced on California. What works in Florida does not automatically become law in New York. Each state adapts to its own people, culture, economy, crime rate, and social realities. That decentralization is one of the greatest strengths of the American system. It creates speed. It creates accountability. It creates competition between states. It prevents dangerous levels of power concentration. And most importantly, it allows local problems to be solved locally. Meanwhile Nigeria calls itself a federation, but operates like an overprotected unitary state wearing a federal costume. Everything leads back to Abuja. Security? Abuja. Policing? Abuja. Major judicial power? Abuja. Revenue dependence? Abuja. Even governors that are called “Chief Security Officers” cannot fully control police operations in their own states. Think about how absurd that is. A governor can watch insecurity spread in real time and still wait for federal approval before meaningful action can happen. That is not federalism. That is administrative dependency. Nigeria is trying to centrally manage over 200 million people across completely different ethnic, economic, religious, and security realities as if Sokoto and Port Harcourt experience the same problems. They do not. And the damage is obvious. Our courts are overloaded. Judicial processes move at a painful pace. Security coordination is weak. States wait for federal allocations instead of building real economic independence. Every election becomes a war because too much power is concentrated at the center. Control Abuja and you practically control the country. That is why political tension in Nigeria is always explosive. Too much authority sits in one place. America distributed power intentionally. Nigeria concentrates power dangerously. And that difference affects everything from policing efficiency to judicial speed to economic development. The American system is not perfect. Far from it. But one thing it understood correctly is this: Local realities require local solutions. Nigeria still governs like every state is the same country inside the same problem. It is one of the biggest reasons governance keeps failing, institutions remain weak, and justice feels painfully distant from the average citizen.

@vheeorji22 For now, I'll just stop at Data analyst and try to be professional about is. Nice write up, you're doing well

I’m still learning data Analytics and one thing I’m realizing is that the career paths usually build on each other Here’s how I’m starting to understand it so far: 1. Data Entry → Excel This feels like the foundation just getting comfortable with data, cleaning it, and working with spreadsheets. 2. Junior Data Analyst → Excel + basic SQL At this stage, it’s more about asking simple questions from data and learning how to pull answers using basic queries. 3. Data Analyst → SQL + Excel + Power BI/Tableau This is where analysis really starts — turning data into insights and building dashboards that help people understand what’s going on. 4. Data Scientist → SQL + Python + Statistics + Machine Learning From what I’ve seen, this goes deeper into patterns, predictions, and building models from data. 5. Data Engineer → SQL + Python + Cloud tools + ETL pipelines This side is more about building the systems that collect, store, and move data properly. What I’m noticing is that the tools are important, but the real skill is learning how to think with data, solve problems, and communicate insights simply

To God be all the glory! 🏆 I'm excited to share that I emerged as Nigeria's 2026 JAMB Highest Scorer with an aggregate score of 372/400! English — 98 Chemistry — 98 Physics — 94 Biology — 82 @DailyEdConsult @JAMBHQ @legitngnews #JAMB2026 #UTME2026 #TopScorer

@seun_edema Just followed, hoping to know when you're good to go.

@Chimemena_ Thank you so much. I am currently in process of building one. Follow and stay tuned. ❤️

If an interviewer asks whether you know Excel, you do not need to claim expert level. But you should aim to speak confidently about formulas, tables, sorting, charts and basic analysis. Send this to your aspiring analyst friend.

X% of Y is also Y% of X. So if you want to find out what 7% of 50 is, you could instead find out what 50% of 7 is, which is 3.5. This means that 7% of 50 is also equal to 3.5. Happy Sunday.

‘The energy, the vibes, the football culture…’ The Famous CFC has arrived in Lagos! 🎉🇳🇬

+1 🎂

The referee was Biased, ucl can do better

OMG!!! I just scored my first ever goal for my club🥹

My Grandma's AKA is literally EGO-OYIBO. Lol 😂

Just because a number is the highest doesn’t mean it’s the answer. In statistics, this mistake often comes from insufficient sample size when you don’t have enough data points to make a result reliable. I was analyzing an employment dataset, trying to find which education level produces the highest average performance score. Here’s what I got: PhD → 5.0 MBA → 4.74 MSc → 4.37 BSc → 4.02 HND → 3.63 OND → 2.97 On the surface, PhD wins. Easy conclusion, right? Wrong. I checked the sample size behind that 5.0. n = 1 One employee. That’s not a pattern that’s an outlier. You cannot build a business decision on a group of one. So I dug deeper. MBA holders had an average score of 4.74 based on 8 employees across multiple departments. Now that’s a result you can actually start to trust. The PhD category? Excluded from the final conclusion and flagged as statistically insignificant due to insufficient sample size. This is the difference between reading numbers and understanding them. Anyone can run a query and report the top row. A good analyst asks: “How many observations is this based on?” Because in data analysis: n = 1 is not a trend. It’s one person having a good day.

"WE DEY BEAT" 😭😂