ME — Advanced (Day 79) — Confirmation Bias: When Analysis Starts Looking for Agreement

 

Introduction

Day 78 introduced hypotheses.

We learned that a hypothesis becomes useful when it can be tested against both supporting and contradictory evidence.

But there is a powerful psychological problem that can interfere with this process:

We naturally notice evidence that supports what we already believe.

This is known as confirmation bias.

In markets, confirmation bias can be particularly dangerous because markets provide enormous amounts of information.

If an analyst already believes one interpretation, it is usually possible to find something that appears to support it.

The challenge is therefore not simply finding evidence.

It is being willing to examine evidence that disagrees with our interpretation.

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W/H — What Is Confirmation Bias? How Does It Work?

What Is Confirmation Bias?

Confirmation bias is the tendency to give greater attention, importance, or credibility to information that supports an existing belief while discounting information that challenges it.

For example:

"The market is preparing for a breakout."

The analyst notices:

• increasing volume,
• positive candles,
• improving momentum,

but ignores:

• repeated rejection,
• resistance,
• weakening higher-timeframe structure.

The analyst is no longer testing the hypothesis.

The analyst is defending it.

How Does It Work?

A simplified process is:

Belief → Selective Attention → Selective Interpretation → Reinforced Belief

The danger is that the conclusion can become stronger without the underlying evidence actually becoming stronger.

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Simple Understanding

Imagine two people looking at the same photograph.

One expects to see a dog.

The other expects to see a cat.

Each may notice different details first.

The image is the same.

Their attention is different.

Markets create the same problem.

Two analysts can examine the same chart and notice completely different evidence because they begin with different expectations.

Therefore:

The observer's expectations can influence what the observer notices.

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Why Does It Happen?

Human cognition naturally tries to simplify complex information.

Once we develop an interpretation, the brain tends to search for consistency.

This is efficient in many everyday situations.

But markets are dynamic and uncertain.

A belief that was reasonable a few hours ago may become less appropriate later.

If the analyst keeps searching for supporting evidence, the analytical model may remain unchanged even while the market has changed.

This creates analytical inertia.

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Deeper Insight

Confirmation Bias Does Not Require Dishonesty

An analyst does not have to consciously manipulate evidence.

Confirmation bias can happen automatically.

Suppose the analyst believes:

"This is a bullish continuation."

The next few observations are interpreted through that lens.

A strong upward candle becomes:

"Confirmation."

A sideways period becomes:

"Healthy consolidation."

A decline becomes:

"Normal correction."

A failed breakout becomes:

"Temporary weakness."

Eventually, almost everything can be interpreted as support.

At that point, the hypothesis has become unfalsifiable.

That is a major analytical problem.

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Confirmation vs Confirmation Bias

These two concepts must be separated.

Confirmation

Evidence that genuinely strengthens an interpretation.

Confirmation Bias

The tendency to treat evidence as supportive because we already believe the interpretation.

The difference lies in the process.

A disciplined analyst asks:

"Would I interpret this evidence the same way if I held the opposite view?"

That is a powerful test.

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Market Behaviour Layer

Consider a resistance zone.

The analyst believes a breakout is developing.

Supporting Evidence

Price approaches resistance repeatedly.

Participation increases.

Short-term structure remains constructive.

Potential Contradictory Evidence

Price repeatedly rejects the area.

Upward progress becomes smaller.

Higher-timeframe structure remains range-bound.

A biased analyst may emphasize only the first group.

A disciplined analyst keeps both groups visible.

The correct question becomes:

Which evidence has greater structural relevance?

This connects directly with Day 63.

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Market Context Layer

Confirmation bias becomes especially dangerous when context is ignored.

Suppose a lower timeframe shows strong upward momentum.

The analyst becomes convinced of a breakout.

But the market is approaching major higher-timeframe resistance.

The lower-timeframe strength may be genuine.

Yet the broader context remains relevant.

Confirmation bias can cause the analyst to treat the lower-timeframe evidence as sufficient while ignoring the higher-level constraint.

Therefore:

Evidence should be interpreted within the complete relevant context, not only the context that supports our preferred view.

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Common Misunderstandings

1. Confirmation Bias Means Only Traders Are Biased

No.

Any analyst, educator, researcher or observer can experience it.

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2. Having a Hypothesis Causes Confirmation Bias

Not necessarily.

A hypothesis is useful when it is actively tested.

The problem begins when the hypothesis becomes an identity or conclusion that must be defended.

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3. Looking for Supporting Evidence Is Wrong

No.

Supporting evidence is necessary.

The problem is looking only for supporting evidence.

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4. Contradictory Evidence Must Always Win

No.

Contradictory evidence must be evaluated according to relevance and weight.

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5. Being Aware of Bias Eliminates It

Not completely.

Awareness helps, but a disciplined process is more reliable than simply trusting our self-awareness.

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Practical Observation

When you form a hypothesis, create two explicit sections:

Evidence Supporting the Hypothesis

List the strongest relevant observations.

Evidence Challenging the Hypothesis

List the strongest relevant observations that disagree.

Do not allow yourself to stop after the first section.

Then ask:

"Which side contains the more structurally relevant evidence?"

This transforms bias management into a process.

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Structural Interpretation

The MarketOmorph analytical framework can help reduce confirmation bias because it requires structured examination:

Structure

What is actually established?

Level

Where is the market?

Trigger

What event deserves attention?

Probability

How strongly does the evidence support the interpretation?

Then add two explicit questions:

Supporting Evidence

What strengthens the interpretation?

Contradictory Evidence

What challenges it?

This prevents the analysis from becoming one-directional.

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Connections to Previous Concepts

The progression is now:

Day 76 — Analytical Models

How do we organize market understanding?

↓

Day 77 — Assumptions

What hidden premises exist?

↓

Day 78 — Hypotheses

How can those premises become testable?

↓

Day 79 — Confirmation Bias

How can our own thinking interfere with the testing process?

This is a crucial development.

We are now examining not only the market, but also the observer.

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Practical Insight

A powerful technique is to perform a reverse test.

If your hypothesis is:

"The market is developing a bullish structural transition."

Ask:

"What would I expect to see if this hypothesis were wrong?"

Then actively search for those conditions.

For example:

• repeated rejection,
• failure to hold a new structural area,
• deterioration of higher-timeframe structure,
• declining participation,
• renewed range behaviour.

This does not mean expecting the hypothesis to fail.

It means giving contrary evidence a legitimate opportunity to speak.

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Concept Anchor

A hypothesis is only genuinely tested when contradictory evidence receives the same analytical attention as supporting evidence.

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Quick Recap

• Confirmation bias influences what evidence we notice and how we interpret it.
• It can occur without conscious intention.
• A hypothesis should remain testable.
• Supporting evidence is necessary but insufficient.
• Contradictory evidence must be actively examined.
• Evidence should be weighted by relevance rather than preference.
• Context must include information that challenges the preferred interpretation.
• Structured analysis can reduce—but not completely eliminate—confirmation bias.

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Practical Observation for the Reader

Take one current market hypothesis.

Write:

My Hypothesis

What do I currently think the evidence suggests?

Strongest Supporting Evidence

What are the three strongest observations supporting it?

Strongest Contradictory Evidence

What are the three strongest observations challenging it?

Critical Conflict

Which observation matters most?

Reassessment Condition

What evidence would cause me to materially change the interpretation?

Then ask yourself:

"If I wanted to prove my hypothesis wrong, what would I look for?"

That is one of the simplest ways to challenge confirmation bias.

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Closing Thought

The market does not know what we believe.

It does not adjust its behaviour to protect our interpretation.

Yet once we form a view, it becomes surprisingly easy to interpret new information in ways that preserve it.

That is why Advanced analysis must contain a deliberate mechanism for disagreement.

The objective is not to eliminate belief.

It is to prevent belief from controlling observation.

A mature analyst can say:

"This is my current hypothesis."

while simultaneously asking:

"What evidence would make me change it?"

That combination is powerful.

Because the moment we become willing to change our interpretation for the right reasons, analysis becomes less about defending a conclusion and more about learning from the market.

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Closing Principle

Observation → Understanding → Assessment → Judgment → Application

Within market analysis:

Structure → Level → Trigger → Probability

And within disciplined hypothesis testing:

Support the idea. Challenge the idea. Weight both. Revise when necessary.

The goal is not to find evidence that agrees with us. The goal is to understand what the evidence actually says.

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