/ Human Problems/ Not Enough Meaning
Connect · 02 / 04

Not Enough
Meaning.

What we filter through is still mostly incomplete. Brains keep filling the gaps with stories — patterns, characters, causes. The biases below are the seams where our storytelling stitches incomplete reality into something that feels whole.

Biases in this category16
StrategyFill gaps deliberately
Watch for in designNarratives, stereotypes, patterns
Common workshopsResearch synthesis, persona reviews
All 16 biases · Not Enough Meaning

The connectors you should know.

Tap any card for the full entry. Pages marked coming soon are still being written.

Survivorship Bias

Studying only what survived hides the lessons of what didn't.

case-studies · research

Halo Effect

One impressive trait makes us assume the rest is excellent too.

branding · first-impression

Clustering Illusion

Random patterns look meaningful when we squint hard enough.

analytics · data

Narrative Fallacy

We turn messy data into clean stories — and trust them too much.

case-studies · research

Fundamental Attribution Error

We blame users' character; we excuse our own context.

research · empathy

Stereotyping

Group labels stand in for individuals — convenient and wrong.

personas · research

In-group Bias

We design for people who look, think, and click like us.

personas · diversity

Projection Bias

We assume tomorrow's user will want what today's designer wants.

research · strategy

Curse of Knowledge

Once we know something, we can't imagine not knowing it.

ux-copy · onboarding

False Consensus Effect

We overestimate how much others share our opinions and behaviours.

research · personas

Dunning-Kruger Effect

Novices overestimate their skill; experts underestimate theirs.

teams · research

Hindsight Bias

Once we know the outcome, we believe we predicted it all along.

research · strategy

Optimism Bias

We systematically overestimate positive outcomes and underestimate risks to ourselves.

planning · research

Self-Serving Bias

We credit successes to our skill and failures to bad luck or outside forces.

teams · research

Gambler's Fallacy

We expect random sequences to self-correct — they don't.

analytics · data

Empathy Gap

We can't accurately predict how we or others will feel in a different emotional state.

research · empathy
Keep going

Three other ways minds bend.

Too Much
Information

01 / Filter

Too Much
Information

There's too much to process. We filter — and the filtering is where bias creeps in.

11biases Browse

Need to
Act Fast

03 / Decide

Need to
Act Fast

Decisions made before the picture is complete — and how to design for them.

15biases Browse

What Should
We Remember

04 / Recall

What Should
We Remember

Memory as reconstruction — peaks, endings, and the odd-one-out.

10biases Browse