Learning Out Loud: “Know That You May Be Wrong”

Series Introduction and Lesson One · Climate Change Community · Updated August 2026

Why I Am Starting Learning Out Loud

We are living through overlapping emergencies: climate disruption, biodiversity loss, pollution and waste, inequality, misinformation, and growing pressure on democratic life.

These challenges can feel enormous. They can also make people feel isolated, overwhelmed, defensive, or unsure where to begin.

That is why I am beginning Learning Out Loud, a general education series grounded in one simple idea:

We can learn together how to think more carefully, treat one another more humanely, and participate more effectively in shared democratic life.

This series will not claim to have every answer. It begins with a more useful commitment: to ask better questions.

What This Series Will Explore

We will explore the habits that help people live, communicate, and act responsibly in a complicated world:

How to recognize assumptions before they harden into harmful certainties.
How to distinguish evidence, interpretation, opinion, and manipulation.
How misinformation and disinformation affect our relationships, communities, climate action, and democracy.
How empathy differs from agreement — and why human dignity must not depend on someone being familiar, useful, or politically aligned with us.
How ordinary people can participate in public life beyond elections: through learning, listening, organizing, mutual aid, community media, public comment, and holding power accountable.
How environmental justice, information justice, and democratic participation are connected.

The series begins with a practice of intellectual humility: know that you may be wrong.

That does not mean we should have no values, no convictions, or no urgency. It means we should hold our beliefs responsibly — open to evidence, correction, lived experience, and serious disagreement. In a world designed to reward fast reactions and absolute certainty, slowing down to ask “What am I assuming?” can be a meaningful act of care.

The goal is not perfection. The goal is to become harder to manipulate, more capable of solidarity, and better prepared to participate in the decisions that shape our shared future.

This is an invitation to learn in public, revise when necessary, and keep going.

Learning Out Loud — Learn carefully. Treat people humanely. Participate together.

Lesson One: Know That You May Be Wrong

Good thinking is not merely having fast answers. It is learning when to slow down, examine the answer that arrived first, and ask: What if I am wrong?

That question is not a weakness. It is an intellectual practice — a blend of psychology and philosophy that can help us make better decisions about technology, relationships, politics, personal identity, and the world around us.

In this first lesson, we will explore two modes of thought, the assumptions beneath them, why unchecked assumptions can become dangerous, and a practical five-minute exercise for thinking more carefully.

Two Ways of Thinking

Psychology often describes reasoning through a dual-process model: fast, intuitive thinking and slower, more deliberate thinking. Researchers commonly call these Type 1 and Type 2 processes, though they are best understood as useful descriptions of patterns in thought — not as two literal brains inside one head. Type 1 thought tends to be rapid, automatic, associative, and low-effort; Type 2 thought is more reflective, effortful, explicit, and slower. The distinction was refined in its modern form by cognitive psychologists Jonathan Evans and Keith Stanovich in 2013, and popularized by Nobel laureate Daniel Kahneman in Thinking, Fast and Slow (2011).

Fast thinking is essential. It helps us recognize familiar faces, react to immediate risks, perform learned tasks, and navigate daily life without analyzing every tiny decision. A person who has managed computer systems for years may spot a suspicious login prompt quickly because experience has taught them what does not look right.

But fast thinking can also mistake familiarity for truth, confidence for competence, or emotional intensity for evidence. Slower thinking gives us an opportunity to pause, compare explanations, check sources, and recognize what we do not yet know.

The familiarity trap has a name. In 1977, psychologists Lynn Hasher, David Goldstein, and Thomas Toppino documented the illusory truth effect: simply repeating a statement makes people more likely to believe it, even when no new evidence is offered — and later studies found the effect persists even when people know better. Nearly five decades on, that finding explains a great deal about how misinformation takes root in feeds designed for repetition.

Neither mode is automatically superior. Intuition can be highly valuable when it comes from relevant experience and feedback. Deliberation can correct errors, but it can also be used to rationalize a conclusion someone has already emotionally chosen. The goal is not to eliminate intuition; it is to know when intuition requires inspection.

The Hidden Force of Assumptions

An assumption is something we treat as true without fully checking whether it is true. Assumptions are not always bad; we could not function if we investigated everything from scratch. The danger begins when assumptions become invisible — when we no longer recognize that we are making them.

For example, consider this claim:

“This security tool is safer because it is popular.”

Several assumptions may be hidden inside it:

Popularity means quality.
Many users have carefully evaluated its security.
The tool’s default settings are safe.
A large company or project will respond well to vulnerabilities.
The people recommending it have a threat model similar to yours.

Any of these may be true in a particular case. But none follows automatically from popularity. A tool can be widely used because it is convenient, preinstalled, heavily marketed, compatible with other services, or difficult to replace — not because it is the most secure option.

The same issue appears in everyday social judgments:

“They did not respond to my message, so they must not care.”

That conclusion may quietly assume that silence reflects rejection rather than exhaustion, illness, financial stress, caregiving, lack of access, competing obligations, anxiety, or a missed notification. An assumption can become harmful when it turns incomplete information into certainty about another person’s motives or character.

Why Assumptions Can Be Dangerous

Unexamined assumptions can cause harm at personal, social, and political scales.

They can reinforce stereotypes when people treat one experience with a person or group as proof of a general rule.
They can make misinformation persuasive when a repeated claim begins to feel true, even without reliable evidence — the illusory truth effect at work.
They can lead people to dismiss evidence that conflicts with their identity, community, or prior beliefs.
They can create poor risk decisions, such as trusting a platform or product without examining its privacy practices, security design, incentives, or history of addressing flaws.
They can weaken public responses to environmental crises when people assume a problem is distant, inevitable, too large to address, or someone else’s responsibility.

Related research adds a sobering footnote: in 1999, David Dunning and Justin Kruger showed that people with the least knowledge in a domain often overestimate their competence most. Confidence, in other words, is not evidence of accuracy — in ourselves or in others.

This is where psychology and philosophy meet. Psychology helps explain why the mind leans on shortcuts, vivid stories, habits, and prior beliefs. Philosophy asks us to examine the reasons beneath our beliefs: What do I mean? What evidence supports this? What assumptions am I bringing to it? What would show that I am mistaken?

Socratic Humility: Confidence Without Certainty

Socrates is often associated with the insight that wisdom begins by recognizing the limits of one’s knowledge. Standing trial in Athens in 399 BCE, as Plato records in the Apology, he argued that he was wiser than others only in this: he did not claim to know what he did not know. That stance does not mean refusing to have convictions or pretending every claim is equally plausible.

It means holding beliefs with humility: being ready to update them when evidence, lived experience, or sound reasoning calls for revision.

A useful distinction is this:

Unhelpful uncertainty	Socratic humility
“Nobody can know anything, so evidence does not matter.”	“I should proportion my confidence to the evidence.”
“I might be wrong, so I cannot act.”	“I can act while remaining open to correction.”
“Every opinion is equally valid.”	“Claims should be evaluated by reasons, evidence, and consequences.”
“I already know the answer.”	“What would a serious disagreement reveal that I may have missed?”

Socratic humility is not weakness. It is a form of intellectual courage: the willingness to value truth over the comfort of always being right.

Thinking Amid Five Emergencies

Critical thinking matters most when crises are connected, overwhelming, and full of competing claims. The United Nations describes a triple planetary crisis of climate change, biodiversity loss, and pollution and waste — interlinked problems, not separate ones. For this series, we can name five overlapping emergencies that demand both informed action and humility. The record since this lesson was first drafted shows how quickly the evidence is moving.

Climate emergency. Assumptions such as “the impacts are far away,” “one person’s actions never matter,” or “technology alone will fix it” can delay necessary collective action — and they are now contradicted by the record. The World Meteorological Organization confirms 2023, 2024, and 2025 as the three warmest years in the 176-year instrumental record, with 2024 the warmest ever observed and 2025 averaging about 1.44 °C above the 1850–1900 baseline. The 2023–2025 average reached roughly 1.5 °C above pre-industrial levels — the first three-year period at that threshold — and the past eleven years are the eleven warmest on record. The UN Environment Programme warned in 2025 that global emissions must fall 42 percent by 2030 to keep the Paris Agreement’s 1.5 °C goal within reach.

Biodiversity emergency. People may assume that ecosystems are interchangeable or that species loss is only an aesthetic concern, overlooking how ecological systems support food, water, health, and resilience. The landmark 2019 IPBES Global Assessment found that around one million animal and plant species are threatened with extinction, many within decades — more than ever before in human history. In December 2022, 196 countries adopted the Kunming-Montreal Global Biodiversity Framework, with 23 targets for 2030, including protecting 30 percent of land and ocean. COP16 (Cali in 2024, resumed in Rome in 2025) added a finance roadmap toward mobilizing at least 200 billion dollars a year by 2030, a new fund to share benefits from genetic data, and a permanent subsidiary body for Indigenous Peoples and local communities. Progress is real — and behind schedule.

Pollution and waste emergency. The assumption that something is “thrown away” hides the reality that waste goes somewhere: into land, water, air, bodies, and communities — often unequally. Air pollution alone causes more than seven million premature deaths each year. The difficulty of collective correction is on display in the global plastics treaty talks: negotiating rounds in Busan (December 2024) and Geneva (August 2025) both ended without agreement. A new chair, Chilean ambassador Julio Cordano, was elected in February 2026, and diplomats are now working through informal sessions toward a resumed formal round in late 2026 or early 2027.

Inequality and justice emergency. We may assume that people experience crises equally. In reality, exposure to pollution, heat, displacement, food insecurity, and disaster recovery is shaped by wealth, race, disability, gender, housing, labor conditions, and political power. The communities that contributed least to these emergencies routinely bear their highest costs — which is why climate justice is a question of evidence, not ideology.

Information and democracy emergency. False claims, manipulated narratives, opaque algorithms, and concentrated media power can make it difficult for people to distinguish evidence from performance. This affects every other emergency, because collective action depends on shared access to trustworthy information. The World Economic Forum’s Global Risks Report ranked misinformation and disinformation the most severe short-term global risk in both 2024 and 2025; the 2026 report keeps it near the top of the two-year outlook and among the most persistent risks across every time horizon. In June 2024, the United Nations launched its Global Principles for Information Integrity — societal trust and resilience; independent, free, and pluralistic media; transparency and research; public empowerment; and healthy incentives — a framework this series will return to often.

These emergencies are not merely technical problems. They involve values, history, power, accountability, and relationships. Asking “What am I assuming?” can reveal whose perspective has been centered, who bears the cost, and whose knowledge has been ignored.

A Five-Minute Practice

Choose one belief or claim you encountered today — about technology, history, politics, another person, or yourself. Then write short answers to these questions:

What do I currently believe?
What assumptions am I making?
What is the strongest evidence against my belief?
Who might see this differently, and why?
What evidence would genuinely change my mind?
If I act on this belief and I am wrong, who could be harmed?

Here is an example:

Claim: “This platform is private because it says it respects privacy.”

Possible assumptions: The company’s definition of privacy matches mine; its business model does not depend on data collection; its technical design matches its marketing; its policies are enforced consistently.

Counterevidence to seek: What data is collected? Is it encrypted? Who can access it? Is the source code inspectable? Are there independent audits? What is the company’s history of responding to vulnerabilities, data requests, or policy changes?

What would change my mind: Clear technical documentation, independent analysis, transparent data practices, a credible threat model, and evidence that the project responds responsibly when problems are found.

This is not cynicism. It is care.

The Lesson to Carry Forward

“Know that you may be wrong” does not require abandoning your values. It asks you to make your values more accountable to reality.

When a claim feels obvious, pause. When a story confirms what you already believe, investigate. When you feel defensive, ask what is being threatened: the truth, or your self-image? When a crisis seems too complex, begin with one question:

What assumptions am I making — and what would I need to learn before I act?

That is how fast thought becomes wiser thought. That is how humility becomes a practical habit. And that is how learning out loud can become a way of caring for ourselves, one another, and the living world.

Join the Conversation

Learning Out Loud is part of the general education work here at Climate Change Community, and discussion of each lesson continues in our companion community spaces at SDL5. If you would like to follow the full series — and everything that comes after it — a full membership within SDL5 (.org) also places you on the FSP list, so you will hear about new lessons and community projects first.

Lesson Two is in progress. Until then: learn carefully, treat people humanely, and participate together.

Learning Out Loud: “Know That You May Be Wrong”