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starkly

starkly

Auteur(s): Ni'coel Stark
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Rooted in 4IR & Society 5.0's human-centered frame, Starkly trains the musculature of analysis and of capacity that decision making requires. Each episode slows automated thinking so society & technology serve, not steer, our judgment. For future leaders & the promiscuously curious, Ni'coel maps nuance, surfaces tacit and embodied data, and tests assumptions. She advances a pedagogy of Human Decision Intelligence, integrating skills & addressing capacity in practice. Unlearn tidy myths and make exacting decisions that bridge human & machine intelligence. https://humandecisionintelligence.comNi'coel Stark Philosophie Sciences sociales
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  • Starkly: Conversations in Human Decision Intelligence — Intro
    Sep 28 2025

    Starkly is a conversation series in Human Decision Intelligence. We slow automated thinking so society and technology serve, not steer human judgment.

    Context. Now, in the Fourth Industrial Revolution, society outsources not only tasks but judgment. Certain social and technological conditions quietly degrade thinking and decision-making. Starkly exists to slow automated thinking so human judgment leads.

    What HDI is. Ni'coel's pedagogy and framework, not therapy, not productivity hacks, not change-management.

    What breaks today. Legacy KPIs/OKRs optimize machine-legible outputs (throughput/compliance). Forcing sapience into those yardsticks too early creates category error and brittleness.

    What we practice.

    • Discernment (precision of perception)

    • Moral imagination (future-consequences with human context)

    • Xenopathy (increasing tolerance for our ignorance and anxiety around other)

    • Metacognition (watching how we think while we think)

    • Analogical reasoning (fit by ontology, not label)

    • Foresight (long-horizon consequence scanning)

    • Working in liminality and existential math (holding uncertainty and doing advanced inter-domain analysis)

    • Cathedral thinking (decisions that compound across long horizons)

    • Responsive tempo (speed calibrated to reality, not dashboards)

    • Spectatorship → Participation (agency recovery)

    How outcomes change. We repattern perception and decision pipelines so good choices become native under pressure (anxiety). We reduce projection errors, shorten repair cycles, and improve long-horizon bet quality.

    Human-legible indicators we track

    • Decision latency (from reflex to optimal)

    • Rework / repair cycles (cycle count and depth)

    • Projection error rate (as surfaced in post debriefs)

    • Ambiguity tolerance (measured in anxiety levels)

    • Relational repair rate (conflict → closure cadence)

    Principle: stabilize in humans before any machine instrumentation.

    Explore the global learning hub:humandecisionintelligence.com

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    5 min
  • The Problem with Empathy
    Sep 21 2025

    Ni’coel and Cephra pry open the cultural certainty around empathy and propose a more intelligent starting point: xenopathy. Rather than projecting sameness: “I know how you feel because I’d feel that way too if I were in your shoes,” xenopathy begins by acknowledging radical difference, and by tolerating the ignorance and anxiety that difference evokes. Empathy, Ni'coel argues, often collapses distinction into relatability, inviting projection, bias, and even performative concern. Xenopathy reframes the task as ethical care without the precondition of identification, imagination, or love. They test concrete cases (grief, gender, race, organizational life, DEI), and return to Human Decision Intelligence's core: skill has less use without capacity. By changing the language we start with, we change the decisions we make, trading tidy heuristics for curiosity, responsibility, and more accurate care across real asymmetries of risk and experience.

    🔸Explore the global learning hub: humandecisionintelligence.com

    🔸Cohost: Cephra Stuart is a multidisciplinary storyteller, writer, director, actor, and singer. At Mansa and the Walt Disney Studios, she worked on audience research, content strategy, and DEI analytics to champion inclusive storytelling. Earlier in her career, she also supported culture and engagement initiatives at Bumble and Twitter, helping shape the internal environments and strategy behind some of today’s most influential platforms.

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    29 min
  • Skill, Capacity, Desire
    Jul 1 2025

    Nuance and human context, Ni’coel warns, are sacrificed on the altar of tidy TikTok taxonomies that pose as “wisdom” yet let us hide instead of grow. After years of pattern-tracking, she has traced every breakdown, or breakthrough, of intimacy, leadership, and collaboration to a three-part scaffold:

    Skill — practiced competency: noticing, naming, communicating, executing.

    Capacity — nervous-system range: the load-bearing substrate that can stay with pleasure, threat, ambiguity, intimacy without numbing or ejecting.

    Desire — the animating appetite: willingness to pay the initiation fee of change.

    This triad serves as a diagnostic dashboard for founders, spouses, and strategists alike: locate the missing leg and you know where to invest practice, regulation work, or motivational fire. Ignore it, and friction-free substitutions accrue “decision debt,” eroding the relational field where real intelligence lives.

    🔸Explore the global learning hub: humandecisionintelligence.com

    🔸Cohost: Chelsea Makena’s work spans leadership development, enablement, engagement, and performance. She partners with founders and tech executives to build humane, high-performance systems. As one of CHDI’s earliest collaborators, she brings a grounded people lens that elevates our conversations on human systems.

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    30 min
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