hsam.net / research-methods
Research & Methods
How HSAM.net documents autobiographical memory in a way that is readable, ethically careful, and compatible with established methods in memory science. It’s not a clinic. It’s an archive with standards.
HSAM is primarily defined by unusually strong access to autobiographical events (personal life experiences tied to dates/time), typically evaluated via structured screening (e.g., public events and random date tests) and follow-up characterization. Group work shows HSAM participants can outperform controls on autobiographical measures while performing similarly on many standard lab memory tests.
Sources: LePort et al. (2012) PubMed · UCI CNLM HSAM overview cnlm.uci.edu
01 — Overview
Method at a glance
Structured entries anchored to dates + cues, recorded as close in time as practical.
Event type, cue type, detail type (episodic vs semantic), confidence & impact tags.
Tiered corroboration when available: messages, calendars, photos, receipts, third-party records.
02 — Definitions
Definitions & Guardrails
- Autobiographical memory — memory for personal life events (what happened, where/when, perceptions, thoughts/feelings).
- Episodic details — event-specific details tied to a time/place (often called “internal” details in narrative scoring frameworks).
- Semantic details — general facts or extended knowledge not anchored to one episode (“external” details in some coding schemes).
- HSAM — unusually strong autobiographical recall across time, typically identified through screening using public events and random dates approaches, then characterized with additional testing and/or interviews.
Sources: Levine et al. (Autobiographical Interview framework) PDF · LePort et al. (2012) PubMed
Guardrail
What this site does not claim
HSAM.net does not diagnose HSAM, certify HSAM, or claim that any single person’s memories are “perfect.” The archive documents recall experiences and patterns, and when possible distinguishes “recalled” from “externally corroborated.”
The working assumption is consistent with mainstream memory science: episodic remembering is reconstructive, and error does not require dishonesty.
03 — Framework
Documentation Framework
Entries are designed to be (a) human-readable, (b) consistent over time, and (c) structured enough for later analysis. This is closer to a “structured diary / longitudinal archive” than a traditional lab battery.
Entry schema
What a single memory-entry contains
- Date anchor: the date being recalled (or the date the memory is about).
- Time specificity: time-of-day if available; otherwise “unknown.”
- Event label: a short title (“MRI appointment,” “storm day,” “school meeting”).
- Event type: personal / medical / legal / travel / routine / interpersonal / other.
- Cue type: what triggered recall (date cue, place cue, sensory cue, conversation cue, media cue, emotional cue, dream cue).
- Narrative: free-text account (kept readable; jargon only when needed).
- Detail tags: location, people categories (not full names by default), sensory details, emotion, bodily state, sleep status.
- Impact tags: distress, rumination loop, sleep disruption, functional interference, or “neutral/positive.”
- Confidence rating: self-rated certainty (e.g., 1–5) + notes on why.
- Verification tier: none / indirect / direct corroboration (see below).
- Redaction status: whether identifying details are masked for privacy.
Sources: APA on experience sampling apa.org · UCI CNLM HSAM overview cnlm.uci.edu
Detail classification
Episodic vs semantic (why the distinction matters)
A key analytic distinction in autobiographical memory research is whether a report contains episodic/internal details (event-specific time/place/perceptions/thoughts) versus semantic/external details (general facts, commentary, repeated information not tied to one episode). The Autobiographical Interview (AI) framework is widely used to quantify these elements from narratives.
Sources: Levine et al. (2002) AI method PDF · Levine Lab levinelab.weebly.com
04 — Verification
Verification & Corroboration Tiers
Because a lifetime of personal events can’t all be externally verified, HSAM.net uses a tiered system that separates “what is remembered” from “what is documented elsewhere.” This keeps the archive honest without pretending that memory requires perfect receipts.
No external corroboration available. Entry remains usable for pattern analysis (cues, affect, impact), not as external proof.
Contextual support exists (season/weather pattern, known routine, approximate calendar placement), but no direct artifact.
Supporting records exist (calendar entries, messages, photos, receipts, medical/legal timestamps) matching the event.
Even HSAM participants show false memories under misinformation paradigms, reinforcing that verification is a method issue, not a character judgment.
Sources: Patihis et al. (2013) PMC
05 — Screening
Alignment with HSAM Research Screening
HSAM research has commonly used structured screening tools involving public events recall and random dates recall. These approaches test date-specific access and autobiographical detail, and help distinguish HSAM-like profiles from general high intelligence, mnemonic training, or simple interest in trivia.
Screening tools
Public Events & Random Dates (10 Dates) style testing
In HSAM research, a “random dates” style task has participants respond to randomly generated dates by providing the day of the week, a verifiable public event, and a personal autobiographical event associated with that date. Public events screening is used to identify strong calendar-linked recall across years.
Sources: Patihis et al. (2013) methods PNAS · LePort et al. (2012) PubMed · Talbot (2024) HSAM review PMC
How HSAM.net uses this
Practical, non-clinical implementation
- Random date prompts are used periodically to sample recall consistency across time.
- Public event anchors are used sparingly (as optional reference points), because HSAM is autobiographical first.
- Diary-style capture records cue patterns, impact, and interference — things that lab tests often miss.
- Verification tiering prevents “memory confidence” from being treated as “external proof.”
Sources: LePort et al. (2012) PubMed · APA on experience sampling apa.org
06 — Longitudinal
Diaries, Experience Sampling, and Memory as a System
HSAM.net is fundamentally longitudinal: it tracks recall over time, not just “performance on a single day.” A practical model for this in research is experience sampling — a structured diary approach that captures reports over time and in context.
For HSAM-like experiences, longitudinal tracking helps capture phenomena that single-session tests may miss: involuntary recall frequency, cue sensitivity, sleep disruption, rumination loops, and daily functional load.
Sources: APA on experience sampling apa.org · Nature Human Behaviour commentary on ESM nature.com
07 — Ethics
Ethics, Privacy & Harm Minimization
HSAM.net uses research-grade ethical principles as defaults. The core posture is: minimize harm, protect privacy, and never treat other people as “data” without care.
Ethics framework
Respect, beneficence, justice
The Belmont Report outlines three foundational principles for research involving human subjects: respect for persons, beneficence, and justice. HSAM.net applies these ideas in a practical way: voluntary sharing, careful risk/benefit thinking, and equitable treatment in representation.
Sources: HHS/OHRP Belmont Report hhs.gov · Belmont background PMC
Privacy rules
Redaction, consent, and “do no harm” publishing
- Default anonymization: living individuals are not named unless there is explicit consent or the information is already public and relevant.
- Redaction-first: identifying details (addresses, phone numbers, private workplaces, minors) are removed.
- Context limits: details that could enable harassment, doxxing, or retaliation are excluded.
- Boundaries: the archive prioritizes patterns and mechanisms over sensational detail.
Source: APA Ethics Code apa.org
08 — Limitations
Limitations — straight talk
- Single-subject bias: lived experience data can be rich, but it is not automatically generalizable.
- Verification gaps: some events will remain Tier 0/1 due to normal life constraints.
- Recall is reconstructive: detail density and confidence do not guarantee veracity.
- Selection effects: what gets recorded is influenced by salience, stress, sleep, and motivation.
Sources: Patihis et al. (HSAM false memories) PMC · Schacter (constructive memory) PMC
09 — Continue
Where to go next
If you’re here for the evidence trail, the writing, and the long-form work:
10 — Sources
Primary References
- LePort, A. K. R., et al. (2012). Behavioral and neuroanatomical investigation of Highly Superior Autobiographical Memory (HSAM). PubMed
- Patihis, L., et al. (2013). False memories in highly superior autobiographical memory individuals. PMC · PNAS
- Talbot, J. (2024). Highly Superior Autobiographical Memory (HSAM) review (notes PEQ/RDQ common tools). PMC
- UC Irvine CNLM — HSAM overview and lab summaries. cnlm.uci.edu
- Levine, B., et al. (2002). Autobiographical Interview framework (episodic vs semantic quantification). PDF · Levine Lab overview
- Schacter, D. L. (2007). The cognitive neuroscience of constructive memory. PMC
- APA — Experience sampling as a structured diary approach for longitudinal research. apa.org
- HHS/OHRP — Belmont Report (respect for persons, beneficence, justice). hhs.gov
- APA — Ethical Principles of Psychologists and Code of Conduct (privacy/confidentiality). apa.org
- Nature Human Behaviour — commentary on Experience Sampling Method (ESM). nature.com