1. Data Scientists Spend 80% of Their Time... Cleaning Data
Forget AI-powered insights. Most of the job involves scrubbing spreadsheets, fixing column names like final_v2_REAL_FINAL.csv, and chasing down missing values. It’s less futuristic tech, more digital janitorial work.

2. The World Generates 2.5 Quintillion Bytes of Data—Every Day
That’s 2,500,000,000,000,000,000 bytes daily. Enough to stack hard drives from Earth to the Moon. And back. Twice. And that number keeps growing.

3. More Data Does Not Mean Better Models
Feeding more raw data into a model won’t automatically make it smarter. Without structure and context, it's just noise. The old rule still applies: garbage in, garbage out.

4. Excel Is Still the #1 Data Tool (Yes, Even Now)
Despite the rise of Python, R, and cloud platforms, Excel remains the most widely used data tool on Earth. It's resilient, ubiquitous, and impossible to fully replace. In many industries, it's the default data interface.

5. Machine Learning Can Predict If You’ll Quit Your Job
Retention models use everything from calendar data to email metadata to flag who's likely to resign. And no, clearing your search history won’t help. Your behavior patterns speak louder than you think.

6. Algorithms Are Only as Smart as Their Dumbest Assumptions
Your model might predict market trends—until the world shifts overnight because of a black swan event. AI is brilliant at patterns, but terrible at handling the unexpected.

7. “It Depends” Is the Official Data Science Motto
What’s the best algorithm? Should we use deep learning? Is the model reliable?
The answer: “It depends.”
Context is everything. Anyone giving absolute answers in data science is probably oversimplifying.

8. AI Still Struggles With Basic Common Sense
It can outplay grandmasters at chess, yet mistake a chihuahua for a blueberry muffin. Pattern recognition isn’t the same as understanding. And AI still has no clue what it’s actually looking at.

9. “Big Data” Often Means Giant Spreadsheets
Behind the flashy buzzwords are frequently just bloated CSVs that crash your browser. If you’ve ever tried to open a 3GB file in Excel, you already know what big data feels like.

10. Your Personal Data Is Worth Less Than a Cup of Coffee
On the dark web, full personal profiles often sell for $1–5. That’s less than a latte. The reality of data commodification is as mundane as it is disturbing.