About this blog: statistics, health and critical thinking

By Maicel Monzon

About this blog: statistics, health and critical thinking

This blog was not created to teach “easy statistics.”

It was born out of a persistent unease.

For years I have worked in clinical research and the critical appraisal of clinical trials:
well-written protocols, technically sound methods, “statistically significant” results…

“and yet — poorly framed questions, fragile conclusions, and decisions that are hard to defend.”

When statistics becomes ritual, it stops being a scientific tool and turns into a respectable black box.

This space exists to pry that box open.

Here we examine statistics, health, research, and regulation in contexts where mistakes have real consequences — not just academic ones.

I don’t write to oversimplify.
I write to understand what we are actually doing when we claim that “the evidence supports” something.

What you will find here

The content is organized around several axes — not as watertight compartments, but as zones of productive friction.

Statistics in Health
Methods that truly matter: clinical trials, pharmacovigilance, risk assessment.
With special focus on what these methods do not guarantee.

Research Methodology
Study designs, biases, hidden assumptions, and practices that have become normalized even though they erode scientific validity.

Regulatory Evaluation
How protocols and final reports are actually read, what regulators formally require versus what is routinely overlooked in practice — and why a document can be technically compliant yet scientifically weak.

Practical Code in R or Python
Reproducible examples where code helps us think more clearly, not just look impressive.

Critical Reflections
When the real problem is not the model, but the question itself.
Or worse: when nobody even stops to examine the question.

What you will NOT find

• Quick recipes or “how-to” shortcuts
• Promises of miraculous automation
• Naive optimism about statistics or artificial intelligence
• Content written to game algorithms

Why subscribe

If you’re interested in:

• thinking with more rigor and less autopilot,
• spotting errors before they become “evidence,”
• reading sharp analysis written from inside the system — not from the comfort of outsider commentary,

you can subscribe.

I won’t promise a fixed posting schedule, but I do promise coherence and intellectual honesty.
This is a long-term project.

If you stay, it will be to think slowly and deeply.

“If you want to learn to look beyond the numbers, this is your place.”

Subscribe to bioestadísticaedu