Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts

Tuesday, October 20, 2026

My Last 3 Reads, and Their Ratings

(4 mins read) 

If you average my last three Goodreads ratings, you get 3.3 out of 5. A perfectly ordinary reading month.

But that number hides quite a bit. One of these books I rated 5 stars. Another got 2. And I felt very different things while reading each of them.

The one that hurt: A Day in the Life of Abed Salama by Nathan Thrall (5 stars)

The story is built around a school bus accident. Several young children died, and one of them was Abed Salama’s son.

What stayed with me first wasn’t the accident itself, but everything around it.

The book shows Palestinians as people living their lives. They raise children, build relationships, and find small moments of happiness, all while the occupation shapes almost every part of their daily existence. I realised how rarely I get to see this side of their lives. Most of what I read about Palestinians comes through headlines, statistics, and political arguments.

As the story unfolds, you begin to see how much of what led to that day was preventable. The restrictions, the discrimination, the neglect, the unequal treatment. None of these caused the accident directly, but they made everything surrounding it, and everything that followed, so much harder to bear.

The title speaks of one day, but the book stretches across decades of history. At times, this made it feel less focused than I expected. But I also understood why that history was necessary. You cannot fully understand the tragedy without understanding the system around it.

The hardest part came at the end. So little has changed, and in many ways, things may have become worse. The grief is personal, but the injustice is systemic.

I gave it five stars. Not because I enjoyed reading it. I didn’t, and I don’t think that’s the point. I gave it five stars because stories like this need to be heard, remembered, and taught.

The one I wanted to love: My Friends by Fredrik Backman (2 stars)

I adore Fredrik Backman. And that’s probably why My Friends disappointed me so much.

It has almost everything he usually does well: friendship, grief, trauma, quirky characters, art, and big emotional moments. But for me, it felt like a book trying very hard to mean something. And somewhere along the way, I could see the effort.

The friendship was my biggest problem. Four teenagers who remain so emotionally central to each other 25 years later, remembering their teenage years in extraordinary detail? I’m 37, and I can barely reconstruct what I was doing at 15.

Then there’s the painting. The entire story treats it as something almost sacred. I understand what Backman is trying to say about art, memory, and belonging. But I never quite felt it. It seemed less like the painting naturally carried all that meaning and more like the story needed it to, so everyone had to act accordingly.

In fairness, I listened to most of the book as an audiobook at the gym. Maybe I missed something between sets. But even after accounting for that, I finished with one thought: Was that it?

I know it has a 4.4 rating from hundreds of thousands of readers. Clearly, it worked for a lot of people. I’m just not one of them, and that’s fine. You can love an author and still not love one of their books.

The one written in letters: The Correspondent by Virginia Evans (3 stars)

The story is told entirely through letters. I liked how the book trusted me to piece Sybil’s life together on my own. That was probably its biggest strength.

The first half felt slow, though, and I struggled to connect with Sybil. The writing is lovely, and the book handles ageing, love, and loss with care. But the ending felt a little too neat and a little too hopeful for the life that came before it.

And there was one question that followed me through the entire book.

The story takes place somewhere between 2015 and 2020. There were phones. There was WhatsApp. There were text messages and DMs. So why on earth was everyone writing letters?

Sybil could have saved everyone a lot of postage with one phone call.

If you have a good answer to this, I would genuinely like to hear it.

What the stars were really measuring

Looking back, I realise my ratings weren’t measuring the same thing.

The 5 wasn’t about enjoyment. It was about how much a book matters.

The 2 wasn’t about bad writing. It was about the distance between what I expected and what I actually felt.

The 3 was about admiring something without quite connecting with it.

We use stars to rate books, but they can only tell you so much. They squeeze very different reactions into the same five boxes, making them look more comparable than they really are.

The part I should say plainly

I wouldn’t recommend the last two books, at least not without a few caveats.

I read My Friends and The Correspondent mostly because everyone seemed to be reading them. The ratings were high, the reviews were warm, and my feed kept putting them in front of me. So I went with the trend.

The first book was different. I picked it on purpose, and it was the one I’ll remember.

I work with data, so I should have known better. A 4.4 average tells you how a crowd felt. It can’t tell you how you will.

Tuesday, September 22, 2026

Learning to Code Still Matters in a World That Doesn't Need You to Code

(2 mins read)



A few weeks ago, someone on my team shared a SQL script with me. It ran perfectly. The problem was that it gave the wrong answer.

She had used AI to write a tricky part of the query and had checked that it executed without errors. When I asked her to walk me through the logic, she struggled.

It wasn't because she wasn't capable. She simply hadn't spent enough time with the problem to really understand what was happening.

That incident made me think about the ongoing debate around AI and coding.

If AI can write code, do we still need to learn how to code?

I think we do.

AI can remove a lot of the typing. It can help us write code faster, debug it, and even suggest better approaches. But it doesn't remove the need to think.

Someone still needs to understand whether the logic actually makes sense. Someone needs to spot the bug hiding inside code that looks perfectly fine. And someone needs to recognise when AI is confidently giving the wrong answer.

That requires understanding, not just good prompting.

I've started looking at coding differently. Coding was never really about remembering syntax. It was about taking a messy problem and breaking it down into small, precise steps.

Think of it like explaining a recipe to a robot that has no common sense. You can't simply say, "Add a little salt." You have to tell it how much, when to add it, and what should happen next.

That ability to translate human thinking into something precise is the real skill. Python, SQL, or even plain English are simply different ways of communicating with a machine.

And there is some interesting research around this too. An Anthropic study found that developers who relied heavily on AI for writing and debugging performed worse on a later test of their understanding than those who worked through the problems themselves. (source)

That made me reflect on my own kids too.

They are growing up in a world where answers are available almost instantly. I don't want them to miss the thinking simply because the answer is easy to get.

I'd rather they learn to think through a problem first, understand the "why", and then use AI to become faster.

Because the machine will always type faster than us.

But knowing whether what it typed is actually right?

That part is still ours.

Friday, August 29, 2025

Is Your Mind Getting Lazy? Why AI Might Be Making Us Mentally Unfit

(5 mins read)



I have written about my thoughts on AI before. In fact, just a year ago, I shared my ideas in this blog post: "Harnessing the Power of Gen AI: A Second Brain for a Digital Age", where I pointed out that using Gen AI is like having a second brain. With the right prompts, Gen AI can help us organize our thoughts, learn quickly, and make connections we might not have considered otherwise.

Today, I want to build on this idea and dig deeper into another important question: As AI becomes smarter and easier to use, are we risking something even bigger, the loss of our own ability to think deeply and solve problems on our own? Is our love for easy answers and quick results making us mentally lazy? Inspired by a thought-provoking TEDx talk about “Intellectual Obesity,” this post explores how the rise of AI is changing the way we think, what dangers we should watch out for, and how we can use AI wisely to strengthen, not weaken, our minds.

In this post, I try to break down the speaker’s main points, share what I agree with and where I see things differently, and offer thoughts for parents, teachers, and anyone who cares about the future of learning.

What is "Intellectual Obesity"?

The term “Intellectual Obesity” describes what happens when we use technology to do all our thinking for us. Just like eating too much unhealthy food can make our bodies weak, relying on AI for everything could make our minds sluggish and less sharp. Intellectual obesity is not about how much we know, but about how we know—and if we’re willing to work hard for answers or just copy and paste from a machine.


How AI is changing our thinking

1. AI makes everything easier. But at what cost?

AI tools finish tough tasks in seconds. You want an essay? Done. Need to solve a math problem? No sweat. The downside is, we don’t struggle through problems or really understand the process.

What I agree with:

When we stop challenging ourselves, we miss chances to think deeply and learn new ways to solve problems. Like going to the gym strengthens our muscles, struggling with questions strengthens our minds.

Why I’m not fully convinced:

AI also saves time, leaving space to think, create, and try new ideas. Tools like calculators and computers didn’t make us dumb; they let us focus on bigger things. It’s not just about using AI, but how we use it.

2. A dangerous parallel: Intellectual obesity vs. physical obesity

The speaker compares our addiction to easy answers with overeating junk food: both give quick pleasure but aren’t good for us long-term.

What I agree with:

Instant solutions can make us lazy, and we might end up just “consuming” answers instead of understanding them. If kids only use AI for homework, they might not learn how to think for themselves.

Why I’m not fully convinced:

Technology always changes how people think. When the internet arrived, people worried about memory loss, but we developed new skills, like searching and sorting information. Not all use of AI leads to poor thinking; we can learn to use it to make our minds better and stronger.

3. Learning and growing: What will happen to the next generations?

The speaker worries that kids relying too much on AI will struggle to come up with creative ideas or lead others. Productivity might go up, but creative thinking and problem-solving could go down.

What I Agree with:

Creativity doesn’t come from copying. It comes from playing, making mistakes, and figuring things out. Real learning means facing confusion and working through it, not just accepting quick results.

Why I see it differently:

Kids today are smart, and many know how to use technology wisely. If teachers and parents guide them, AI can help kids dream bigger and discover faster, not hold them back.

4. Making AI a Partner, Not a Crutch

The speaker suggests a new way to use AI. Don’t just take the answer. Ask questions about it. Critique the answer: Is it correct? Is there a better way? Improve on what AI gives you. Can you make it neater, faster, or more creative?

What I agree with:

This method builds real skills. It teaches us not just to accept things, but to question and improve. It pushes students to be active learners, not just passive consumers.

Why I think we need balance:

Not every school or home has time or resources for deep critique and improvement. Some subjects might benefit more than others from this approach. Guidance and supervision are critical; otherwise, it’s easy to fall into the trap of “first answer is fine.”

Steps for parents, teachers, and learners:

  • Encourage Curiosity: Don’t just praise correct answers, celebrate good questions and creative solutions.
  • Build Problem-Solving Habits: Let kids struggle a bit. Help them see mistakes as a normal part of learning.
  • Use AI Wisely: Treat AI as a starting point, not an endpoint. Compare answers, ask “why” and “how,” and look for better ways.
  • Foster Dialogue: Discuss with children and students about what makes an answer elegant, creative, or effective.
  • Reward Effort: Show that working hard to reach a solution is valuable, even if it takes longer.6


Looking Ahead

AI isn’t going anywhere, and it shouldn’t. In fact, the future belongs to those who use these tools smartly. Those who treat AI as a partner for thinking, not a shortcut to laziness, will grow into “Augmented Thinkers” instead of “Dependent Users”.

Schools, families, and workplaces should reward curiosity, deep thinking, and creativity more than quick results or surface-level answers. If we do, we’ll raise a new generation that uses technology to reach higher, not settle for less.

Conclusion

AI has the power to shape the way we think, learn, and solve problems. The risk of “Intellectual Obesity” is real, but it is not the end of deep thinking. The answer lies in how we use AI, not as a substitute for effort, but as a tool to stretch our minds and grow.

Let’s encourage young people to ask questions, challenge answers, and keep thinking deeply. This way, we can enjoy the benefits of technology without sacrificing the joy and growth that come from real learning.

Wednesday, April 2, 2025

No Clickbait, Just Quality: My 10 All-Time Favorite YouTube Videos

(7 mins read)


image generated using chatGPT


Creators often plead, “Like, subscribe, and share!”—but should you hit “like” if you don’t genuinely enjoy a video? As someone who’s watched thousands of videos but only liked a handful, I believe a “like” should be reserved for content that truly moves you. Below is my personal top 10 list of YouTube videos - those I’ve both watched repeatedly and liked unreservedly. I keep coming to these and  hope you will too.

Of course, this list isn’t exhaustive. Many faith-based and spiritual videos that I cherish aren’t included, as they may not resonate with everyone. Also, TED Talks alone could form an entirely separate list. But for now, here’s a mix of science, self-improvement, and mind-expanding content that I believe is worth watching. Let’s dive in!


1. To Scale: THE SOLAR SYSTEM



Most of us grew up staring at textbook diagrams of the solar system - neat little circles crammed onto a single page. But this video? It flips that idea on its head. A team actually built a real-world model in a desert, and seeing it all laid out at a true scale is downright mind-blowing.

Suddenly, those "close-together" planets we memorized as kids reveal their jaw-dropping distances. It’s one thing to know space is vast, but another to feel it - and this humble desert model nails that awe perfectly. A must-watch for space enthusiasts and anyone craving perspective.

2. The Mind-Blowing Scale of The Milky Way


Ever feel insignificant? This video takes you on a journey through the Milky Way, making you appreciate the sheer vastness of our galaxy and how tiny we truly are. Epic Spaceman breaks down our galaxy’s vastness using relatable analogies (think grains of sand and swimming pools). Perfect for wrapping your head around cosmic scales without feeling overwhelmed. What I love is that it doesn't just bombard you with numbers and scientific jargon. Instead, it gives you these "aha!" moments where you suddenly understand cosmic scales in terms you use every day. A must-watch for space and cosmos enthusiasts—honestly, anything by Epic Spaceman is worth your time!

3. Powers of Ten™ (1977)


A classic visualization of scale, taking us from the microscopic to the cosmic level in a matter of minutes. A timeless journey zooming from a picnic blanket to the edge of the universe - and back into a human cell. It’s old but still incredibly relevant. This vintage gem marries art and science, proving simplicity is key to understanding complexity.

4. Inside the Mind of a Master Procrastinator | Tim Urban | TED




We've all been there - that moment when you're supposed to be working, but suddenly reorganizing your sock drawer feels urgent. Tim Urban gets us. In this talk, he perfectly captures why we procrastinate with his brilliant "Instant Gratification Monkey" analogy (and yes, it's as funny as it sounds). What makes it special is how he turns that cringe-worthy recognition of our own bad habits into something both hilarious and genuinely helpful. Watch this if you've ever fallen down a YouTube rabbit hole, doom-scrolled Instagram reels, or binge-watched Netflix instead of tackling a deadline!

5. Steve Jobs' 2005 Stanford Commencement Address


Seventeen years later, this speech is still relevant. Jobs weaves his personal story into universal truths about trusting your gut, following your passion, loving what you do, and seeing meaning in life's unexpected turns. Whether you're graduating, changing careers, or just feeling stuck, it's that rare talk that actually stays with you.

6. How Great Leaders Inspire Action | Simon Sinek | TED


One of the best TED Talks ever. Sinek breaks down why some leaders and companies inspire, while others fail to connect. A must-watch for anyone in leadership. Sinek’s “Golden Circle” theory - starting with why - revolutionizes how we view leadership. If you’ve ever wondered why some brands or people inspire cult-like followings, this talk is for you.

7. The Power of Introverts | Susan Cain | TED


A powerful talk that highlights the strengths of introverts and why they deserve just as much recognition as extroverted leaders. Just like Rahul Dravid, a soft-spoken yet strong leader, stands alongside aggressive captains like Virat Kohli and Ricky Ponting, Cain’s insights validate the immense value quiet thinkers bring in a world that often favors extroversion.

8. Isolation - Mind Field (Ep 1)


Michael from Vsauce takes a deep dive into the effects of complete isolation on the human mind by locking himself in an empty room for 3 days. This fascinating yet unsettling experiment explores the psychology of loneliness, making you appreciate and grateful for the simple comforts of connection, light, and even a passing conversation.

9. BOOKSTORES: How to Read More Books in the Golden Age of Content


In an age of endless scrolling and distractions, Max Joseph (Catfish fame) explores the magic of bookstores and the fading art of deep reading. I loved this video - the way it was crafted, the storytelling, the production quality. As a book lover (both reader and collector), I was completely drawn in. If you’ve ever struggled to finish a book, this might just rekindle your love for reading.

10. The Throne of Allah - Mindblowing


This video offers a breathtaking glimpse into the vastness of Allah’s creation, reminding us of our small yet significant place in the universe. While spiritual in nature, its awe-striking visuals and philosophical musings resonate beyond faith boundaries - an awe-inspiring watch for anyone who ponders the mysteries of existence.

11-Bonus. The best stats you've ever seen | Hans Rosling


I've read books by Hans Rosling, perhaps one of the most influential people on the internet at the start of my career, generating my love and appeal for data visualization. His ability to make numbers come alive is unmatched.

This is the most electrifying statistics lecture you’ll ever experience—Hans Rosling turns dry global health data into a jaw-dropping, bubble-by-bubble storytelling spectacle. I love how he smashes misconceptions about the "developed vs. developing world" with infectious energy and wit. Watch it to reset your worldview, and rewatch it whenever you need a reminder that progress is real (and wildly underrated).

Honorable Mentions

Some incredible channels deserve a shoutout for consistently putting out top-tier content:

  • Vsauce, Veritasium, Kurzgesagt: Science made fascinating. For brainy deep-dives, philosophy, and deep questions
  • Vox, Cleo Abram: Master researchers and explainers of culture and tech.
  • 3Blue1Brown: Math made mesmerizing through stunning visual storytelling.
  • MrBeast: Entertainment with a purpose. Because sometimes you just need chaos.


Final Thoughts


At the end of the day, hitting that "like" button should come from the heart—not because someone asked nicely. It’s a little way to say, "Hey, this meant something to me."
The videos I’ve shared here stuck with me for all kinds of reasons—some made me think deeper, others left me in awe, and a few just made me feel less alone in my weird little quirks.
Now I’d love to hear from you! Did any of these make your personal favorites list? Or do you have hidden gems you think I should watch? Drop them in the comments—I’m always looking for recommendations.
And if this blogpost felt like a friendly chat rather than just another list? Well, you know where that like, and share button is. 😊 (No pressure, though - I get it, we’re all selective with our likes!)

Monday, February 13, 2017

Remembering Hans Rosling

My journey to data visualization started with a video of Hans Rosling, The best stats you've ever seen | Hans Rosling. It was probably the most mind boggling thing, I had ever seen by then. It was just after moving into a company after graduation and an introduction like that had a tremendous effect into my way of thinking about data. That was an inspiration for many similar dashboards and reports and presentations I created in later times.

This great educator and visionary died last week. the world will be ever thankful to him for the immense impact he had.

What others say

“Rosling believes that making information more accessible has the potential to change the quality of the information itself.” — Business Week Online