🩺 We Crunched the Numbers: You Might Be Falling Apart (Or Not)

By 404BrainNotFound | Updated March 2025

Ever wondered what medical conditions you're statistically doomed to develop? Well, science (questionable science, but still) has your back. This data-driven analysis will tell you exactly which ailments to keep an eye on based on data-backed trends. We will be analyzing a dataset of 100 patients, each with a unique combination of demographic factors and health conditions. This dataset is fictional and generated for educational purposes, but it provides valuable insights into the relationships between demographics and health conditions.

Health data can tell us more than we realize.

What are the most common conditions people like you experience?

What medications are most frequently prescribed?

This interactive guide explores trends using real-world generated data.

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What Conditions Are Most Likely for You?

So what does the data actually say? Based on your selected demographic filters, we’ve compiled a list of the most frequently occurring conditions for patients like you. This isn’t a diagnosis—just a probability game based on our data.

Click on a bar to see more information about each condition. Then, you can search for the medications commonly prescribed for it.

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Note: Copy and paste the condition from the tooltip into the search bar below to see the medications graph


💊 What Medications Are Given for This Condition?

Found a condition that concerns you? Use the search bar below to find out which medications are most frequently prescribed to treat it.


Condition Distribution Across Age Groups

Nobody escapes time, and as the years go by, our bodies start collecting medical conditions.
This graph gives you a sneak peek at what might be lurking in your future, based on real-world trends. Here’s how different health conditions stack up across age groups. If you're still in your 20s, congrats! Enjoy it while it lasts.
If you’re in your 60s… well, let’s just say your body has been through a lot. This visualization breaks down which conditions become more common as people age, so you can prepare for what's ahead (or live in blissful ignorance, your call).


What Can You Take Away From This?

This dataset may be fictional, but the patterns it reveals are very real. By understanding which conditions occur most frequently among different demographics, we can be more proactive in our health decisions.

But at the end of the day, no dataset can predict the future. So take care of yourself, eat some vegetables, and maybe don't trust everything you read on the internet.