THE GOOGLE'S "&num=100"

-

How Google’s Small Change in &num=100 is Quietly Reshaping the Internet

Google has always been the heart of how we access the web. For over two decades, it’s been the silent companion behind every curiosity, search, and late-night question. But recently, without any public announcement, Google made a subtle yet powerful change; it disabled the num=100 parameter from its search engine.

At first glance, that might sound technical or trivial. But beneath that single change lies a story of control, data monopoly, and the quiet reshaping of how the internet and artificial intelligence will evolve from here.

What Actually Happened

Previously, you could tweak a Google search URL to show more than the standard 10 results per page by adding a simple parameter:

&num=100

That command told Google to display 100 results per page.

It was a hidden gem for developers, SEO professionals, and data scientists. This simple feature lets them fetch large sets of results with a single request, which is extremely useful for analyzing search rankings, studying trends, or training AI models that need structured web data.

example:

https://www.google.com/search?q=best+running+shoes&num=100

Now, that feature is gone. Whether you set num=20, num=50, or num=100, Google will always show only 10 results per page. The change wasn’t announced, documented, or explained; it simply stopped working.

Why It Matters More Than It Seems

For everyday users, the difference between 10 and 100 results might not mean much. Most people don’t even go beyond the first few pages of Google anyway.

But for developers and researchers, this parameter was crucial. It allowed for bulk data retrieval in one request, 100 results. Now they must make 10 separate requests to get the same amount of data. That means:

  • More bandwidth use

  • More time per query

  • Higher computational costs

  • And a far greater strain on smaller systems

For Google, this is a win: fewer automated scrapers hitting their servers, less load, and more control over who accesses their data. But for small developers, startups, and researchers, this change quietly cuts off one of their most valuable free resources.

The Silent Impact on Small Innovators

Independent developers and SEO tool creators often relied on that 100-result fetch to analyze rankings or monitor web trends. They built lightweight, open-source tools that helped businesses understand visibility on the web.

Now, without that feature, they face two bad options:

  1. Buy access through Google’s official APIs, which can be expensive and rate-limited.

  2. Scrape data inefficiently, with more requests and a higher risk of getting blocked.

This essentially turns a free, open feature into a paid privilege. Small teams that once competed through creativity and coding now must compete through money something few of them have.

It’s like taking away the common road and leaving only toll highways.

How It Affects AI Models Like ChatGPT and DeepSeek

This change also touches the world of AI, and the implications are deeper than most realize.

Large language models (LLMs) like ChatGPT, Claude, or DeepSeek don’t have live access to Google Search. Instead, they rely on massive datasets created by crawling public web pages and structured search results. These datasets help AI models understand how people search, how information is ranked, and what kind of results users expect.

When Google restricts access to large-scale search result data, it effectively limits how much diverse information can be captured. Instead of 100 possible pages of insight, crawlers now see only 10 per query, a far smaller sample of human knowledge and behavior.

Meanwhile, Google’s own Gemini AI operates with full internal access to global search data for every query, click, and user interaction. That gives it a unique advantage: it learns from the entire web, in real time, while everyone else trains on incomplete data.

This means AI models outside Google, even powerful ones like ChatGPT or DeepSeek, are slowly being cut off from the freshest, richest sources of real-world information. In other words, Google controls both the library and who gets to read it.

A Blow to Research and Transparency

This change doesn’t just affect businesses and AI developers; it hits academia too.

Researchers who study search bias, misinformation, and ranking fairness rely on large-scale search result analysis. By limiting access to those 100-result pages, Google makes it far harder to audit or study how its algorithm behaves.

That lack of transparency is worrying. Google’s search results shape what billions of people see and believe. But if independent researchers can’t analyze those results freely, we lose a key part of internet accountability.

Google’s Advantage and the Industry Pattern

So, why would Google do this?

While the company hasn’t made any official statement, the motives seem clear: control, profit, and protection of internal systems. By reducing bulk result access, Google minimizes scraping traffic, strengthens its hold over data, and quietly nudges developers toward its paid APIs and cloud services.

This isn’t an isolated move either. In the last two years:

  • Twitter (X) cut off free API access for developers.

  • Reddit started charging millions for data licensing.

  • Meta (Facebook) restricted public data visibility through API changes.

Google’s update is just another step in this global shift where open, public web data becomes a private, monetized asset.

And with search being the backbone of digital knowledge, Google now holds an even stronger grip on the global flow of information.

The Larger Picture: A Quiet Data Monopoly

If you zoom out, this is about much more than a URL parameter. It’s about who controls the world’s information.

The open internet was built on the idea that information should be accessible to everyone, whether you’re a student, a researcher, or a curious mind. But as tech giants close their systems, that openness is fading.

When a few corporations control data access, the truth becomes filtered. AI models can’t learn from diverse sources. Researchers can’t verify what’s happening. Innovators can’t build without paying gatekeepers.

It’s the start of a data monopoly, and Google just made one more quiet move to secure it.

The Beginning

To most people, Google’s removal of num=100 will pass unnoticed. But in reality, it marks a deeper shift in how the web operates.

It’s a new beginning and a reminder that the internet we use today is not the same open playground it once was. Each “small change” like this gradually hands more power to the few companies that already control the flow of information.

So the next time someone says Google just “optimized” its system, remember: this isn’t just about saving bandwidth, it’s about reshaping who gets to see, study, and understand the web.

Because on the modern internet, the rule is simple:
Who controls the data controls the future.


Location: Cavery River Bridge Highway 62, Tiruchirapalli - Salem Main Rd, Srirangam, Mambazhasalai, Tiruchirappalli, Tamil Nadu 620005, India

Comments

Post a Comment

Popular posts from this blog

Is AI Really Stealing Our Jobs? The 2025 Reality You Can’t Ignore.

-
Image
Is AI Really Stealing Our Jobs? The 2025 Reality You Can’t Ignore Not too long ago, “Artificial Intelligence” was a phrase that lived mostly in tech conferences, research papers, and sci-fi movies. People imagined a distant future where machines might become smarter than us. But 2025 is proving that this future is not distant at all. It’s here, and it’s rewriting our lives in real time. AI has quietly seeped into every corner of our world. It’s on the magazine covers we flip through, in the movies we watch, in the emails we write, and even in the decisions people make about starting families. And while there is excitement about what AI can do, there is also fear that it is taking away opportunities, destroying creative careers, and widening the gap between those who can adapt and those who can’t. So, is AI really taking our jobs? Or is it simply changing the way we work? The answer lies in looking at every piece of the puzzle from fashion to film, from boardrooms to Reddit threads, ...
Read more

THE GREATEST WALLS MADE BY HUMANS

-
It all began with fire a spark, a stick, and a thought. That moment marked the beginning of something new. humans not just surviving, but starting to shape the world around them. From caves to huts, tools to towns, and then to cities, we evolved. We built homes, made families, formed groups, and passed on beliefs. And now, in the 21st century, we live in a world of glowing screens, fast roads, and tall buildings. But no matter how far we’ve come, one thing remains unchanged. we still see the world not just as it is, but as it appears through us. At a college campus, between lecture halls and the canteen, students passed by in the middle of their everyday routines. One of them was Maya, who often sat alone on a bench during breaks. She wasn’t lonely just observant. And almost every day, she noticed the same girl walk by. Anika. Quiet and neatly dressed, always looking composed.  They had never spoken. But over time, Maya formed a picture in her mind. “She looks so put together. Prob...
Read more

Beautiful Yet Unseen

-
Image
When Beauty Becomes a Wall, Maturity Finds a Door At a prestigious airline cabin crew interview, two young women waited side by side in a quiet lounge. One of them, Ananya, carried the kind of beauty the world adores fair skin, symmetrical features, a poised figure, and a confident smile that had been constantly rewarded since childhood. Compliments had followed her like a shadow. people listened when she spoke, smiled when she entered, and rarely questioned her presence in a room. The other, Meera, was different not by lack of grace or intelligence, but simply because she didn’t fit society’s unspoken standards of glamour. Her skin was darker, her body softer, her features less “refined” by commercial standards. She wasn’t used to being noticed first or celebrated without proving herself twice as hard. Still, she sat with quiet dignity, dressed thoughtfully, hope tucked into the folds of her neatly ironed saree. The Invisible Divide: Social Validation and Rejection When the intervi...
Read more