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Cognitive immunology. Critical thinking. Defense against disinformation.

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📁 Cognitive Biases
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Pareidolia: Why Your Brain Sees Faces Where None Exist — And How It's Used Against You

Pareidolia is a cognitive mechanism that makes us see meaningful images (faces, figures) in random patterns: clouds, toast, textures. It's not a pathology but an evolutionary feature for threat detection, yet it makes us vulnerable to manipulation—from religious "miracles" to marketing tricks. We break down the neuromechanics of the illusion, the evidence base, and a protocol for protecting against exploitation of this cognitive bug.

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UPD: February 15, 2026
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Published: February 13, 2026
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Reading time: 11 min

Neural Analysis

Neural Analysis
  • Topic: Pareidolia — perception of meaningful patterns in random stimuli (faces in clouds, figures in stains)
  • Epistemic status: High confidence — mechanism confirmed by neuroimaging and cross-cultural research
  • Evidence level: Observational studies + fMRI data + evolutionary psychology; no large RCTs (not applicable to this phenomenon)
  • Verdict: Pareidolia is normal functioning of the pattern recognition system with a low activation threshold. Not a mental disorder, but exploited in religious, commercial, and conspiracy narratives to create the illusion of "signs" and "evidence."
  • Key anomaly: Substitution of "the brain created a pattern" with "the pattern exists objectively" — ignoring the observer's role
  • 30-second test: Show a "miraculous" image to 10 people without context — if descriptions vary, it's pareidolia, not an objective phenomenon
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You've seen Jesus's face on toast. Lenin's profile in the clouds. A smiling electrical outlet. Your brain isn't broken—it's working exactly as evolution programmed it. But this program contains a bug that turns you into a perfect target for manipulation. Pareidolia isn't a harmless optical illusion, but a cognitive vulnerability exploited by religious cults, marketers, and creators of fake sensations. We dissect the neuromechanics of an illusion that has cost humanity billions of dollars and thousands of lives.

📌What pareidolia actually is — and why it's not just "playing tricks on your mind"

Pareidolia (from Greek para — "beside, near" and eidōlon — "image, form") is a specific type of apophenia in which the perceptual system recognizes meaningful images in random or ambiguous stimuli. Unlike general apophenia, pareidolia specializes in biologically significant objects: faces, human figures, and animals. Learn more in the Critical Thinking section.

Critical distinction: pareidolia is neither a hallucination nor a perceptual pathology. It's the normal functioning of the pattern recognition system under conditions of uncertainty. Hallucination creates perception in the absence of a stimulus; pareidolia misinterprets a genuinely existing stimulus.

A person experiencing pareidolia understands that an electrical outlet is an outlet, but cannot "unsee" the face in its configuration. The perception is involuntary and persistent.

🧩 Three components of pareidolic perception

Contemporary neurocognitive models identify three essential elements: ambiguous visual stimulus with sufficient structural complexity (random spots, textures, shadows); activation of specialized neural recognition networks — primarily the fusiform gyrus and superior temporal sulcus; absence of corrective feedback from the prefrontal cortex, which should suppress false-positive activations (S004).

Evolutionary logic
The cost of a false positive (seeing a predator in the bushes when there isn't one) is minimal compared to the cost of a false negative (not seeing a predator that is there). Natural selection calibrated the system for hypersensitivity.

🔎 Boundaries of the phenomenon: what pareidolia includes and excludes

Pareidolia encompasses visual recognition of faces in inanimate objects (clouds, walls, food), anthropomorphization of forms (human figures in mountain silhouettes), zoomorphic interpretations (animals in wood grain). The phenomenon operates primarily in the visual modality, though auditory analogs exist — recognizing words in white noise or music played backward.

Includes Does NOT include
Recognition of faces in inanimate objects Synesthesia (cross-modal perception)
Anthropomorphization of forms Prosopagnosia (inability to recognize real faces)
Zoomorphic interpretations Schizophrenic apophenia (seeing causal connections between unrelated events)
Involuntary, persistent perception Conscious imagination or metaphorical thinking

🧱 Neuroanatomical localization: where phantom faces live in the brain

Functional MRI imaging shows that pareidolic perceptions activate the same areas as recognition of real faces: the fusiform face area (FFA) in the inferior temporal cortex, the occipital face area (OFA), and the posterior superior temporal sulcus (pSTS).

Critical difference: in pareidolia, there's an absence of normal activity modulation from the orbitofrontal cortex, which should suppress uncertain recognitions (S004). Studies of patients with localized brain lesions confirm: damage to the FFA eliminates both recognition of real faces and pareidolia. This proves the phenomenon uses the same neural mechanisms as normal perception — just with altered activation thresholds.

Neural pathways for face recognition in the brain with highlighted areas of pareidolic activation
The fusiform gyrus and superior temporal sulcus — neuroanatomical centers where random patterns transform into faces. Green shows activation zones during pareidolia, purple indicates areas that should suppress false positives but fail to do so.

🧪Five Most Compelling Arguments for Pareidolia as a Real Adaptive Mechanism

Skeptics might object: maybe pareidolia is just a cultural construct, a result of learning, or mere coincidence? Let's examine the steelman position—the strongest evidence that the phenomenon has deep evolutionary and neurobiological roots. More details in the Psychology of Belief section.

🔬 First Argument: Cross-Cultural Universality of the Phenomenon

Pareidolia has been documented in all studied cultures without exception—from isolated Amazonian tribes to technologically advanced societies in Asia and Europe. Anthropological research shows that the ability to see faces in random patterns is independent of education level, religiosity, urbanization, or access to visual media.

Even children aged 3-4 demonstrate pareidolic responses before receiving cultural training in pattern recognition. If pareidolia were a cultural artifact, we would observe significant variations between populations—but this doesn't happen.

A Japanese person, a Brazilian, and a Norwegian are equally likely to see a face in the same configuration of spots. This points to an innate rather than acquired mechanism.

🧬 Second Argument: Phylogenetic Antiquity of the Face Recognition System

Specialized neural mechanisms for face recognition have been found not only in primates but also in other social mammals—sheep, dogs, even crows. This means the system emerged tens of millions of years ago and underwent powerful selection.

Pareidolia is an inevitable side effect of this ancient system, tuned for maximum sensitivity. For social species, rapid and accurate recognition of conspecific faces is critically important for survival.

  • The system must work in poor lighting conditions
  • The system must work with partial occlusion
  • The system must work at unusual angles

Such hypersensitivity inevitably leads to false positives—pareidolia.

📊 Third Argument: Reproducibility in Controlled Experiments

Laboratory studies consistently reproduce pareidolia under controlled conditions. When subjects are shown randomly generated noise patterns with varying structural complexity, the probability of pareidolic perceptions predictably depends on stimulus parameters: contrast, spatial frequency, symmetry.

At certain parameters, up to 80% of subjects report seeing faces in pure noise (S004). Neuroimaging shows objective activation of face recognition areas even when the subject is not consciously aware of the pareidolic perception.

The brain actually processes random patterns as faces at the neural level—this is not subjective interpretation or suggestion.

🧠 Fourth Argument: Modulation of the Phenomenon by Neurochemical Agents

Pharmacological studies demonstrate that pareidolia is enhanced by substances that increase dopaminergic activity (levodopa, amphetamines) and weakened by antipsychotics that block D2 receptors. This points to specific neurochemical mechanisms underlying the phenomenon—not abstract cognitive processes, but measurable changes in neurotransmitter systems.

Patients with Parkinson's disease receiving dopaminergic therapy often report increased pareidolic perceptions—seeing faces and figures where healthy people see only textures (S004).

⚙️ Fifth Argument: Computational Models Reproduce the Phenomenon

Artificial neural networks trained on face recognition spontaneously demonstrate pareidolia—classifying random textures as faces with high confidence. This occurs without special programming of pareidolic behavior—simply as a consequence of optimizing the network to maximize sensitivity to facial features.

Fundamental Trade-off in Signal Detection Theory
Any recognition system optimized to minimize false negatives (missing a real face) will inevitably produce false positives (pareidolia). You cannot simultaneously maximize sensitivity and specificity at a fixed threshold.

🔬Evidence Base: What We Know About Pareidolia from Peer-Reviewed Research

Let's move from theoretical arguments to concrete empirical data. Each claim below is supported by source references — verify them yourself. More details in the Mental Errors section.

📊 Neuroimaging Studies: The Brain Processes Illusions as Reality

Functional MRI shows activation of the fusiform face area (FFA) when subjects are presented with random patterns in which they perceive faces. Activation patterns during pareidolia are qualitatively identical to patterns during perception of real faces — the same voxels activate with the same temporal dynamics.

BOLD signal amplitude during pareidolia reaches 60–80% of the amplitude during real face perception (S004). This refutes the hypothesis that pareidolia is merely "imagination." Imagined faces activate different areas (medial prefrontal cortex, precuneus) and don't trigger such strong FFA activation.

Pareidolia is a perceptual phenomenon, not a cognitive one. The brain processes it as actual perception, not as conscious image construction.

🧪 Clinical Correlates: When Pareidolia Becomes Pathological

While pareidolia is normal in healthy individuals, its frequency and intensity increase significantly in certain neurological conditions. Patients with dementia with Lewy bodies report frequent and persistent pareidolic hallucinations — seeing people and animals in wallpaper patterns, clothing folds, and shadows.

This is linked to dysfunction in occipitotemporal areas and impaired dopaminergic modulation (S004). Parkinson's disease patients on dopaminergic therapy also show increased pareidolia, often preceding the development of full visual hallucinations.

  1. Pareidolia may be an early marker of hallucinatory risk in neurodegenerative diseases.
  2. Antipsychotic therapy (quetiapine, clozapine) reduces the frequency of pareidolic perceptions.
  3. This confirms the role of dopaminergic mechanisms in perception regulation.

🧾 Psychophysical Parameters: Which Stimuli Trigger Pareidolia

Systematic psychophysical studies have identified optimal stimulus parameters for inducing pareidolia. The face recognition system is tuned to specific characteristics, and any stimulus that randomly falls within this range will be processed as a potential face.

Parameter Optimal Range Why This Works
Spatial frequency 8–16 cycles per degree Corresponds to typical face size at social interaction distance
Symmetry Vertical symmetry Faces are symmetrical; asymmetric patterns rarely trigger pareidolia
Contrast 20–40% Too low doesn't activate the system; too high makes randomness obvious
Configuration Two dark spots above, one below "Two eyes + mouth" pattern is the minimal set for face recognition

🔎 Individual Differences: Why Some See Faces More Often Than Others

The frequency of pareidolic perceptions varies between individuals by a factor of 3–5. Research has identified several predictors of high pareidolic sensitivity.

Magical thinking
The tendency to see patterns and connections everywhere correlates with pareidolia frequency. This isn't pathology, but a cognitive style feature linked to cognitive biases in information processing.
Anxiety
Anxious individuals have lower thresholds for detecting potential threats. Pareidolia here is a side effect of a hyperactive danger monitoring system.
Religiosity
Religious individuals more often interpret pareidolia as meaningful — seeing signs, messages, manifestations of the sacred. This doesn't mean they see faces more frequently, but they assign them meaning.
Creativity
Creative individuals have more flexible categorization criteria and readiness for alternative stimulus interpretations.

Twin genetic studies show heritability of pareidolic sensitivity at 30–40%, indicating contributions from both genetic and environmental factors. Specific genes haven't been identified yet, but candidates include polymorphisms in dopaminergic and serotonergic systems.

Visualization of optimal stimulus parameters for inducing pareidolia
Left: random noise with optimal parameters (spatial frequency 12 cycles/degree, 30% contrast, vertical symmetry) — most observers see a face. Right: same noise with altered parameters — pareidolia doesn't occur. Green markers show "two eyes + mouth" configuration.

🧠Neuromechanics of Illusion: How Evolution Created Cognitive Vulnerability

Understanding the mechanism of pareidolia requires diving into the architecture of the face recognition system — one of the most ancient and specialized systems in the mammalian brain. More details in the section Thinking Tools.

🧬 Hierarchical Processing: From Pixels to Concepts

Visual information is processed hierarchically in the brain: the primary visual cortex (V1) extracts simple features (edges, orientations), secondary areas (V2, V4) combine them into more complex forms, high-level areas (inferior temporal cortex) recognize objects and faces. Pareidolia arises at high levels of this hierarchy — in the fusiform gyrus, where neurons selectively respond to configurations resembling faces.

Critical point: the system operates on both bottom-up and top-down principles simultaneously. Bottom-up: sensory data ascends through the hierarchy. Top-down: expectations and context modulate processing at lower levels.

Pareidolia occurs when top-down signals (expectation of a face) amplify weak bottom-up signals (random configuration) to the threshold of conscious perception.

🔁 Bayesian Brain: Why Priors Matter More Than Data

Modern neuroscience views the brain as a Bayesian inference machine — a system that combines sensory data (likelihood) with prior expectations (prior) to form posterior beliefs (posterior).

Bayes' formula: P(face|data) ∝ P(data|face) × P(face). Pareidolia occurs when the prior P(face) is so high that even weak data leads to a high posterior.

  1. Evolution set a very high prior for faces — the brain expects to see faces everywhere.
  2. In the environment of evolutionary adaptation, missing a face (predator, enemy, ally) had catastrophic consequences.
  3. The brain prefers to err on the side of seeing a face rather than missing one.

⚙️ Predictive Coding: The Brain Hallucinates Reality

Predictive coding theory asserts: perception is a controlled hallucination, corrected by sensory data. The brain constantly generates predictions about what it should perceive and compares them with actual data.

If the prediction matches the data, it's accepted as perception. If not — a prediction error is generated, and the model is updated.

Pareidolia is a case where the prediction "face" matches the data (random pattern) well enough that the prediction error falls below threshold. The brain decides it's easier to interpret the pattern as a face than to generate a large error.

This isn't a bug — it's an optimal strategy under conditions of uncertainty and high error cost. The connection between cognitive biases and evolutionary priorities explains why the brain systematically overestimates threats and sees patterns in noise.

🧷 Dopamine as Threshold Regulator: The Chemistry of Paranoia and Creativity

Dopamine modulates the signal-to-noise ratio in neural networks — it amplifies weak signals and lowers activation thresholds. High dopamine levels make the system more sensitive to patterns but less specific.

Dopamine Level Pattern Sensitivity Specificity Clinical Outcome
Low Low High Apathy, missed signals
Optimal High High Creativity, adaptability
High Very high Low Apophenia, paranoia, psychosis

Schizophrenia, characterized by hyperdopaminergia, is accompanied by massive apophenia — patients see patterns, connections, and meanings everywhere (S004). Pareidolia is a mild form of the same dopaminergic hypersensitivity.

Creative individuals have intermediate levels of dopaminergic activity — sufficient to see non-obvious patterns, but not so high as to lose contact with reality. This explains why availability heuristic and other pareidolia mechanisms work more actively in states of heightened arousal or stress.

⚠️Cognitive Anatomy of Exploitation: Which Mental Bugs Make You Vulnerable

Pareidolia itself is harmless — seeing a face in a cloud isn't dangerous. The danger emerges when this mechanism is exploited to manipulate beliefs and behavior. More details in the Scientific Method section.

🧩 Agency Detector on Steroids: Why We See Intentions in Randomness

Pareidolia activates not only the face recognition system but also the agency attribution system — a mechanism that assigns intentions and goals to perceived agents. When you see a face in a cloud, your brain automatically begins attributing mental states to this "face": it's looking at you, it wants something, it's sending a signal.

This is the hyperactive agency detection device (HADD) — an evolutionary mechanism where it's better to err on the side of seeing an agent than to miss a real one. HADD is the foundation of religious thinking: seeing the faces of gods in natural phenomena, interpreting random events as divine signs.

The brain prefers false positives (seeing a predator in the bushes when there isn't one) over false negatives (not seeing a predator when there is one). This asymmetry makes us vulnerable to patterns that don't exist.

🕳️ Confirmation Bias: How Pareidolia Reinforces Existing Beliefs

Pareidolia doesn't occur in a vacuum — it's interpreted through the lens of existing beliefs. A religious person sees the face of Jesus on toast and interprets it as a miracle confirming their faith. A skeptic sees the same pattern and interprets it as coincidence.

Both are right about the mechanics but wrong about the conclusion. Pareidolia triggers identically, but confirmation bias directs interpretation toward what already aligns with your worldview.

🎯 Three Levels of Pareidolia Exploitation

  1. Level 1: Direct Perception Manipulation. Deepfakes, retouched photographs, videos with artificially enhanced patterns. Deepfakes use pareidolia to create convincing images of things that never existed.
  2. Level 2: Social Amplification. When a group of people sees the same pattern, it creates social proof. If thousands of people see a face in a cloud and talk about it, you start seeing it too — not because it's there, but because social consensus overrides your interpretation.
  3. Level 3: Narrative Embedding. The pattern acquires a story, context, meaning. The face in the cloud becomes a "sign," a "warning," a "message." The availability heuristic makes this narrative more convincing than statistics.

🔍 How Pareidolia Interacts with Other Cognitive Errors

Pareidolia rarely acts alone. It works in synergy with false dichotomy (either it's a miracle or coincidence), with base rate neglect (we forget how often pareidolia misfires), with confirmation bias.

When pareidolia meets cryptozoology or detox myths, it becomes an anchor for an entire belief system. One pattern — and the whole system starts seeming more real.

Pareidolia is not a perception error. It's an interpretation error. The brain sees the pattern correctly but assigns it meaning that isn't there.

🛡️ Verification Protocol: How to Distinguish Pareidolia from Signal

  1. Do you see the pattern if you look away and look again? Pareidolia is unstable — it disappears when viewing angle changes.
  2. Do other people see it without prompting? If you need to explain where to look for the face, it's pareidolia.
  3. Are there alternative explanations for this pattern? If yes — start with the simplest (coincidence, artifact, technical error).
  4. Does this pattern reinforce an existing belief? If yes — check yourself for confirmation bias.

Vulnerability to pareidolia is not a sign of stupidity. It's a sign that you have a brain that evolved for survival in a world full of agents and threats. Protection lies not in denying pareidolia, but in understanding its mechanics.

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Counter-Position Analysis

Critical Review

⚖️ Critical Counterpoint

Pareidolia is a powerful perceptual mechanism, but the article oversimplifies its nature and overestimates the scale of manipulation. Here's where the logic cracks.

Western-Centricity of Universality

The article treats pareidolia as a universal phenomenon, but cross-cultural research shows otherwise: representatives of Eastern cultures see faces in abstract patterns less frequently due to a holistic perception style, as opposed to the analytical Western approach. The claim about "all people" ignores this variability and projects a Western cognitive style onto a global norm.

Unproven Manipulative Effect

We claim that marketers and religious organizations actively exploit pareidolia, but there is little direct experimental evidence of the effectiveness of such manipulations under controlled conditions. The correlation between "seeing an image" and behavioral change (purchase, belief) has not been established. The threat may be exaggerated.

Ignoring Adaptive Value

The article focuses on pareidolia as a "bug" that gets exploited, but doesn't reveal its positive role in art, design, and clinical diagnostics (Rorschach test). A one-sided emphasis on threats may create unwarranted paranoia instead of understanding the mechanism.

Blind Spots of the Verification Protocol

The "show 10 people" method works for obvious cases, but doesn't distinguish pareidolia from real hidden patterns—for example, intentionally embedded subliminal advertising or steganography. The protocol doesn't protect against false negatives when an image is indeed created purposefully.

Blurring Boundaries in the Era of Generative AI

With the development of neural networks, the distinction between "random pattern" and "intentionally created image" becomes conditional. AI can generate visual content that exploits pareidolia purposefully. Conclusions based on the assumption of randomness lose relevance in a world where most content is created by algorithms.

Knowledge Access Protocol

FAQ

Frequently Asked Questions

Pareidolia is when the brain sees meaningful images (most often faces) in random patterns: clouds, stains on walls, toast texture. It's normal functioning of the pattern recognition system, which is evolutionarily tuned to trigger with excess—better to falsely see a predator's face in the bushes than miss a real threat. The phenomenon is universal across all cultures and is not a sign of mental disorder.
Due to hypersensitivity of the face recognition system (fusiform face area in the brain). It's evolutionarily advantageous to have many false positives rather than miss a real face—which could be an ally or a threat. The brain uses top-down processing: the expectation of a face is so strong that even minimal cues (two spots as eyes + one as a mouth) activate the entire recognition system. This is a cognitive heuristic with a low activation threshold.
No, it's normal functioning of a healthy brain. Pareidolia occurs in all people regardless of culture, age, and mental status. It becomes clinically significant only if accompanied by delusional interpretation (for example, a person is convinced that a face in a cloud is a message from gods and changes behavior) or occurs with neurodegenerative diseases (Parkinson's disease, dementia with Lewy bodies), where the activation threshold drops even lower.
Through creating the illusion of a "sign" or "miracle." Religious organizations exploit random images (face of Christ on toast, Virgin Mary in a stain) as "proof" of divine presence. Marketers embed hidden images in logos and advertising, activating subconscious recognition. Conspiracy theorists use pareidolia in photographs (faces on Mars, "anomalies" on the Moon) as "evidence" of conspiracies. The mechanism is the same: substituting "the brain created a pattern" with "the pattern exists objectively and has meaning."
No, you can't completely disable it—it's a basic perception mechanism. But you can train metacognitive control: recognize the moment of triggering and not assign meaning to it. Technique: when you see a "face" in an object, consciously shift focus to other details, break the gestalt. Repeat: "this is my brain's work, not a property of the object." Effectiveness increases with practice of critical thinking and knowledge of the mechanism.
Because face recognition is a critically important evolutionary function. Humans have a specialized brain area (fusiform gyrus) that activates when seeing faces faster and stronger than when seeing other objects. Faces carry maximum social information (friend/enemy, emotion, intention), so the system is tuned for hypersensitivity. Even a schematic image ": )" activates this area. Other images (animals, figures) also occur, but less frequently—they don't have such evolutionary priority.
Yes, the phenomenon is confirmed by neuroimaging. fMRI studies show: when a person sees a face in a random pattern, the same fusiform face area activates as when seeing a real face. Studies on patients with damage to this area show reduced pareidolia. Cross-cultural experiments confirm the universality of the phenomenon. However, there are no large RCTs—the methodology is not applicable to a perceptual phenomenon that cannot be "turned off" with placebo.
Pareidolia is a specific case of apophenia. Apophenia is the perception of connections and patterns in random data (seeing conspiracy in unrelated events, finding "codes" in texts). Pareidolia is only visual images in random stimuli. Both are based on excessive activity of the pattern recognition system, but apophenia is broader and includes conceptual, not just perceptual illusions. Apophenia is more often associated with psychotic disorders (schizophrenia), pareidolia is normal.
Yes, there is evidence of increased frequency of pareidolia with reduced cognitive control. Fatigue, stress, sleep deprivation reduce prefrontal cortex activity, which modulates perception. As a result, top-down expectations (pattern seeking) dominate over bottom-up processing (analysis of actual data). Pareidolia also intensifies with anxiety—the brain in hypervigilance mode more often "finds" threats. This explains why mystical experiences more often occur in extreme conditions.
Use an independent verification protocol. Step 1: show the image to 10+ people without context and ask them to describe what they see. If descriptions vary greatly—it's pareidolia (each projects their own). Step 2: change viewing angle, lighting, scale—if the "image" disappears, it's a perception artifact. Step 3: check statistical probability—if a "face" appears in one of thousands of clouds, it's chance, not pattern. Step 4: seek alternative explanations (play of light, material texture) before extraordinary ones (miracle, artifact).
Due to confirmation bias and cultural context. A religious person expecting "signs" interprets random images through the lens of their faith. Media amplifies the effect: stories about "miraculous" toast go viral, creating an illusion of frequency. Psychologically, it provides comfort and meaning—"higher powers are paying attention to me." Economically profitable: "miraculous" objects sell for thousands of dollars (toast with Virgin Mary's face—$28,000 on eBay). This is exploitation of a cognitive bug for social and financial capital.
There's correlation, but not causation. Research shows: people with high creativity more often see images in abstract stimuli (Rorschach test). This may be linked to more flexible cognitive boundaries and ability to generate multiple interpretations. However, high pareidolia without critical thinking leads not to creativity, but to magical thinking. The key is balance: ability to see patterns + ability to test them.
Deymond Laplasa
Deymond Laplasa
Cognitive Security Researcher

Author of the Cognitive Immunology Hub project. Researches mechanisms of disinformation, pseudoscience, and cognitive biases. All materials are based on peer-reviewed sources.

★★★★★
Author Profile
Deymond Laplasa
Deymond Laplasa
Cognitive Security Researcher

Author of the Cognitive Immunology Hub project. Researches mechanisms of disinformation, pseudoscience, and cognitive biases. All materials are based on peer-reviewed sources.

★★★★★
Author Profile

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