Statistical Problem Solving - Data Integrity - Data Literacy
How data is easily misused
"50% MORE INTENSIVE CARE PATIENTS"
I heard that headline in the media at the start of the coronavirus crisis.
An impressive figure: +50%. It sounded urgent, alarming.
But if you looked beyond the percentage, you saw a completely different story:
the absolute number had risen from 2 to… 3 patients.
An increase of 50% – statistically correct, yes. But in absolute terms? Only one more patient.
Still an important patient, but the impact was far less spectacular than the headline suggested.
The key issue: misusing or misrepresenting data quickly gives a distorted picture of reality.
As in this case, percentages on small numbers. This can completely frame reality.
An increase from 100 to 101 represents exactly the same absolute difference (one patient),
but seems almost insignificant with its 1% increase. And yet there are many more people in intensive care (101 versus 3).
Data seems to speak for itself, but does it always tell the truth?
Recognise these challenges?
In today’s data-driven world, not all data are created equal.
These examples of data pitfalls often lead to flawed conclusions and poor decision-making.
Misleading graphs
Charts can mislead when context is missing.
Your major gain:
Avoiding teams going the wrong direction.
Opinions without facts
Opinions have value, but problem-solving needs facts.
Your major gain:
Far lower risk of lost sales.
Overconfident claims
Validity comes from study design, not confidence.
Your major gain:
Increased confidence in decision-making.
Acting on noise
Treating common cause variation as a signal.
Your major gain:
Saving you tremendous amounts of time.
How I can help
I help professionals and organisations understand what their data actually say, turning data confusion into clear insights.
Statistical Problem Solving
From recurring problems to lasting solutions.
Applying the practice of statistics with a problem-solving roadmap, so you act on facts and not on false patterns.
Data Integrity Review
From false certainty to trustworthy decisions.
Applying critical review to data and underlying analysis and findings, so you avoid false certainty and misinformation.
Masterclasses
From statistical confusion to informed judgement.
Strengthening data literacy, so you improve decision-making and hence performance.
Client Feedback
“Luc combines expertise with a pragmatic mindset, making him a reliable partner for organisations seeking structure, clarity, and improvement.
I can highly recommend his services.”
Filip Waem— Operations Manager, Industrial Manufacturing
Masterclass
'Understanding Variation'
In just 1 day I will help you understand and use variation, making you distinguish noise from real signals. Stop wasting time, and know when to make confident data decisions.
September 2026
Recent insights
Read here about my insights on how data can be helpful, but when misused or misinterpreted can be very harmful – for business, society and science.
You can prove anything with statistics – is the professional cyclist right?
Luc Poelman
Founder of FactWise
Throughout my career as a Management Consultant and Six Sigma Black Belt one thing became impossible to ignore: data are often used in ways that don’t reflect reality. Think of misinterpreting scorecards, acting on natural variation, misleading graphs, and so on.
Recently, a question about health claims led me into the scientific literature, where I ran into the same issues. Health claims in the media, reports, even peer-reviewed studies — too often conclusions are built on noise, flawed assumptions, or misleading statistics.
The result: massive waste of time and money, frustrated teams, reputation damage and even safety issues.
That realisation shaped my mission:
cut through noise and misinformation,
and reveal what the facts and data are really saying.
Today, I help professionals and organisations review unresolved questions, recurring problems and doubtful claims — clarifying what really happened, what the data support (and what not), and where conclusions exceed the evidence.
Curious to know more?
Let’s connect for a free call.
Let's talk about your challenge
Ready to turn data confusion into clear insights? Share your challenge and let’s find a solution together.

