“Data like sleep quality (time to sleep, time in REM, time in deep sleep, breathing rate), cardiovascular information (heart rate, blood pressure, cholesterol level, blood oxygen level), blood type, activity stats (gym membership, eldercare motion tracking information, step count, walking asymmetry, double-support time, flights climbed, speed and intensity of motion, 1RM, ROM, time to recover), metabolic stats (blood sugar, weight, BMI, % body fat, available nutrition), nutritional identity, allergies (food or drug), exposure to pollution (lead/metals, smog, waste), vision stats, disability status, injury history, general medical history, history of addictions, genetic predispositions, medical insurance status, medical insurance premium, active medication list, psychological profile (disorders, typology), birthdate, birth location, pregnancy status, access to abortion, living family, dead family, history of abuse, physical proximity to family (incl. pets), race, heritage, family origin, ethnicity, skin color, nationality, immigration status, visa status, passport status, military status, religious affiliation, spiritual beliefs, relationship status, relationship structure preference, sexual preference, sexuality, gender, chosen pronouns, sex assignment, household income after taxes, assets, bank account, liquidity, credit card account, available credit, credit score, home address, smart home login information (incl. automatic lighting, voluntary video and audio surveillance), home insurance status, temperature/humidity, air quality metrics (CO, radon, smoke), therms consumed, vehicle status, gasoline consumed, CO2 units consumed (transit, shipping, vehicle), kWh (raw usage, EV charging, computation incl. training AIs, or mining crypto), internet connection, education history (incl. literacy), income tax at location of childhood, SAT/ACT/GRE/AP/IB or LSAT/MCAT score (and their international equivalents), ability to write a 5-paragraph essay, languages spoken (level of fluency), social class, employment history, 5-year plan, contractor/W2/part-time status (and their international equivalents), contribution to workplace metrics (net sales, quota attainment, growth rate, churn rate, lead response, ROMI, CPL, CAC, CLV, retention, traffic-to-lead, conversion rate, bounce rate, net income, net profit, gross profit, ratio, working capital, AR turnover, % accounts payable, MRR, new MRR, expansion MRR, churn MRR, ARPA, CES, NPS, employee turnover, eNPS, training spend, career path ratio, revenue vs. forecast, inventory turnover, scrap, ROA, RIT, CSAT), employee rank (ability to execute against KPIs, OKRs, sprint outcomes, etc.), email logins (professional and otherwise), communicational media accounts (WeChat, WhatsApp, Messenger, Signal), representational social media accounts (Facebook, Instagram, Weibo, Twitter, LinkedIn, Slack, GitHub, Pinterest), para-representational social media accounts (Finsta, Reddit, Discord, Telegram, 8Chan, Urbit), sexual social platform avatars (Tinder, Grindr, Hinge, Raya), political social media accounts (Parler, TruthSocial), workplace(s) personality(ies), personality profile (Myers-Briggs, Enneagram), astrological sign (sun, moon, rising), social associations (sports teams, clubs, organizations), hobbies, aesthetic preferences (movies, TV, music, fashion, art, books, etc.), parasocial encounters with the profusion and dilution of celebrity influencers, identity commodities (e.g., collections/collectibles, sloganwear bearing this or that solidarity acronym, this or that flag purchased through Amazon or Etsy accounts), entertainment sources (YouTube account, cable connection, Netflix, Hulu, Amazon, HBOMax, Disney+, and their international equivalents), political information sources (BBC, InfoWars, Jacobin, Al Jazeera, Substack, NPR/PBS, NYT, NBC, WSJ, and their international equivalents), political district (city, state, nation), personal voting history (if voting is applicable), volunteering history, local voting stats (turnout history), donation volume, donor class, reflection in advertising activation and impressions (representation in web traffic, reach, active/unique user base, disposition in posted content, ROI), participation in social media political awareness campaigns, stated and unstated political affiliations, and macroeconomic preferences.”