Home
    Disclaimer

    Effect Profile Scoring Methodology

    Effect profiles provide a structured, data-driven summary of how a substance's effects distribute across key experiential dimensions. Each substance class (Psychedelic, Empathogen, etc.) is scored on 4 dimensions rated 0–10, then combined into a weighted overall score.

    Data Sources

    Scores are derived from keyword analysis of categorized effects and cross-referenced against trip reports from multiple independent sources:

    Bluelight Harm-reduction forum "Big & Dandy" megathreads with detailed user experience reports.
    PsychonautWiki Crowdsourced psychoactive substance wiki with structured subjective effect listings.
    Effect Index Subjective Effect Index cataloging and classifying psychoactive effects.
    Nervewing Detailed first-person experience blog covering research chemicals and novel substances.
    Shulgin (PiHKAL / TiHKAL) Alexander Shulgin's qualitative bioassay comments from his foundational works.
    The Drug Users Bible Dominic Milton Trott's comprehensive field guide with first-person experience reports and dosage assessments.

    Scoring Algorithm

    Each dimension has a curated map of effect keywords with assigned relevance weights (0.0–1.0). When a substance's effect list contains a matching keyword, that keyword's weight is added to the raw score.

    1
    Keyword Matching

    Each substance's categorized effects (physical, cognitive, sensory) are compared against per-dimension keyword maps. Matched keywords contribute their weight to a raw score.

    2
    Normalization

    The raw score is divided by a dimension-specific normalization cap and scaled to 0–10. Caps are tuned so strong exemplars reach 8–10 and average substances sit at 4–6.

    score = clamp(1, round(raw / cap * 10), 10)
    3
    Weighted Class Average

    Individual dimension scores are combined into an overall class score using the weighted average formula below. Core dimensions contribute more to the final score than minor ones. Negative dimensions (side effects like Body Load, Anxiety, Itching/Nausea, Motor Impairment) are inverted before averaging — high side-effect scores lower the overall rating rather than inflating it.

    avg = ∑(scorei × weighti) / ∑(weighti)

    For negative dimensions: score is inverted to (10 − score) before being included in the average.

    Dimension Weights

    Not all dimensions contribute equally to a class's overall score. Dimensions are assigned weight tiers based on how central they are to the class's defining experience:

    Core ×3 The defining trait(s) of the class Major ×2 Important contributing effects Minor ×1 Secondary effects or side effects

    Psychedelic

    Dimension Weight Tier
    Visual Intensity ×3 Core
    Headspace Depth ×3 Core
    Auditory Effects ×1 Minor
    Body Load / Somatic Effects ×1 Minor

    Empathogen

    Dimension Weight Tier
    Empathy / Social Openness ×3 Core
    Euphoria / Mood Elevation ×2 Major
    Stimulation ×1 Minor
    Sensory Enhancement ×1 Minor

    Dissociative

    Dimension Weight Tier
    Dissociative Depth ×3 Core
    Insight / Novel Thought ×2 Major
    Mania / Compulsion ×1 Minor
    Motor / Sensory Impairment ×1 Minor

    Stimulant

    Dimension Weight Tier
    Stimulation / Energy ×3 Core
    Focus / Productivity ×2 Major
    Euphoria / Mood Lift ×2 Major
    Anxiety / Jitters ×1 Minor

    Benzodiazepine

    Dimension Weight Tier
    Anxiolysis ×3 Core
    Sedation / Relaxation ×2 Major
    Euphoria / Mood Lift ×1 Minor
    Motor / Cognitive Impairment ×1 Minor

    Opioid

    Dimension Weight Tier
    Euphoria / Warmth ×3 Core
    Analgesia ×2 Major
    Sedation / Relaxation ×1 Minor
    Itching / Nausea ×1 Minor

    Manual Overrides

    Some substances have manually curated scores that override the computed values. These overrides are applied when automated keyword matching doesn't adequately capture the substance's known effect profile — for example, when a substance has well-documented effects that aren't reflected in the available keyword data. The matched keywords are still displayed for transparency, but the final score uses the expert-reviewed value.

    Evidence Citations

    Each dimension score shows a reference count badge (e.g., "15/20") indicating how many trip reports out of the total mention effects relevant to that dimension. Clicking the badge reveals up to 3 supporting quotes from the source reports, along with the author, source platform, and a link to the original report.

    This evidence system ensures that every score is traceable back to real user experiences rather than being an arbitrary number.