Scientists’ Shadows & Jungian Archetypes: To What Extent Does the Collective Unconscious Influence Researchers?
Introduction: Why the Unconscious Matters in Research
The unconscious shapes our thinking, feeling, and behavior to a far greater extent than we often realize. From subtle expectations in everyday life to intuitive decisions in research, many processes unfold unnoticed, influencing our judgments and the outcomes of our work. This blog post takes readers on a journey through the layers of the unconscious: from empirically measurable effects to cognitive mechanisms and deep psychological structures that fundamentally shape our thinking.
We begin with established research findings, such as Rosenthal’s demonstration of how expectations influence behavior and Kahneman’s insights into intuition and cognitive biases. These studies illustrate the measurable, surface-level aspects of the unconscious—processes that can be observed, documented, and experimentally tested.
Next, we take a step into the deeper unconscious, inspired by Carl Gustav Jung. We explain how archetypes—universal, recurring patterns in dreams, myths, and stories—can subtly guide thought and behavior. Three particularly relevant archetypes—the Mentor, the Innovator, and the Networker—are examined to show how their strengths and shadow sides can influence both daily life and research practice.
Finally, we reflect on the limits of empirical research and the additional insights offered by depth psychology. Readers are invited to observe themselves, recognize their own archetypes, and consciously acknowledge shadow aspects—a step toward greater self-knowledge and a deeper understanding of one’s decisions and actions.
This post thus provides not only an overview of current knowledge about the unconscious but also practical suggestions for how we can consciously account for it in everyday life and research.
Empirical Insights: Biases, Expectations, and Measurable Effects
Previous research demonstrates that the unconscious can be measured. Rosenthal showed how expectations influence people’s behavior—a subtle but demonstrable effect. On his approach in the previous episode.
Kahneman added a cognitive perspective: intuition, rapid decision-making, and cognitive biases are part of an unconscious system that shapes our thinking every day.
Yet sometimes patterns emerge that are harder to explain in this way—universal themes, motives, and recurring symbols appearing in stories, dreams, or myths across cultures. Here begins the territory that Jung explored: the collective unconscious.
Jungian Theory: The Unconscious and Archetypes
Carl Jung spoke of archetypes—fundamental, universal structures of human experience, such as the Hero, the Mother, or the Shadow. Unlike the measurable effects studied by Rosenthal or Kahneman, they are not directly quantifiable but serve as theoretical tools to understand recurring patterns. Nevertheless, cautious bridges to empirical research can be made: dreams can be documented and analyzed for patterns, and cultural symbols or literary motifs can be systematically compared.
This creates a tension between two levels of the unconscious: on one hand, empirically measurable processes; on the other, deeper, archetypal structures. The blog invites readers to consider both perspectives without drawing premature conclusions—an exploratory look at what guides our inner thinking and behavior.
Archetypes and Shadows in Everyday Research
Carl Gustav Jung described numerous archetypes—universal patterns deeply embedded in our unconscious that influence behavior, thought, and feeling. The exact number varies depending on interpretation, but it is clear that there are far more than a few standard figures. For our purposes, we focus on three archetypes particularly relevant to everyday life and research:
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The Mentor
- Strengths: Imparts knowledge, provides guidance, supports others.
- Shadow: May unconsciously project expectations, biases, or personal beliefs onto others; implicit assumptions can subtly shape research questions or experiments.
- Everyday relevance: Those strongly influenced by the Mentor archetype must be aware that even good intentions can unconsciously steer others’ thinking.
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The Innovator
- Strengths: Creativity, groundbreaking ideas, drives change.
- Shadow: Under strong shadow influence, may push for exaggerated results, engage in P-hacking, or take methodological shortcuts just to demonstrate “innovation.”
- Everyday relevance: Many researchers experience mild forms of this—desire for success can subtly influence the research process.
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The Networker
- Strengths: Connects people, builds collaborations, shares ideas.
- Shadow: May overadapt to expectations, peer pressure, or funding requirements; prioritizes fast outcomes over in-depth insight.
- Everyday relevance: Adjusting to external demands often happens unconsciously.
Reflection: Recognizing Unconscious Patterns in Research
Not every archetype is equally strong in all individuals, and some shadow aspects are more pronounced. Self-observation allows participants to identify dominant archetypes and recognize shadow influences, providing direct access to unconscious effects on thought and behavior.Conclusion: Reflection and Open Questions
Previous research—Rosenthal’s effects and Kahneman’s cognitive mechanisms—clearly shows that aspects of the unconscious can be empirically observed, measured, and understood. Yet these approaches capture only the surface: expectations, intuitive decisions, and conditioned responses. They do not account for the deeper structures shaping thought and behavior at a fundamental level.
Depth psychology, particularly Jung’s archetype theory, opens new perspectives. It provides tools for recognizing patterns recurring across cultures and generations, operating within each of us—sometimes stronger, sometimes weaker, sometimes with pronounced shadow aspects. Conscious reflection on one’s archetypes—the Mentor, Innovator, or Networker—can enhance understanding of unconscious tendencies and their influence on thinking, research, and action.
These insights invite engagement:
🔹Which archetypes dominate me?
🔹Which shadows operate unconsciously?
🔹How do they affect my decisions, research, and daily life?
The answers are exploratory, offering a prompt for self-observation and a more conscious engagement with the unconscious.
The overarching question remains: How much influence do our archetypes truly exert, and how can we harness that influence constructively without being unconsciously guided by shadow tendencies? Research provides clues, depth psychology offers conceptual frameworks—the real work begins in personal reflection and conscious observation. The episode on personal unconscious impacts, also called "projections" in the latest episode.
References
1. Jung, C. G. (1968). The archetypes and the collective unconscious (R. F. C. Hull, Trans.). Princeton University Press.
2. Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
3. Rosenthal, R., & Jacobson, L. (1968). Pygmalion in the classroom: Teacher expectation and pupils' intellectual development. Holt, Rinehart & Winston.
4. Campbell, J. (1949). The hero with a thousand faces. Princeton University Press.
5. Freud, S. (1915). The unconscious. In J. Strachey (Ed. & Trans.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 14, pp. 159–215). Hogarth Press.
6. Bargh, J. A., & Chartrand, T. L. (1999). The unbearable automaticity of being. American Psychologist, 54(7), 462–479. https://doi.org/10.1037/0003-066X.54.7.462
7. Dijksterhuis, A., & Nordgren, L. F. (2006). A theory of unconscious thought. Perspectives on Psychological Science, 1(2), 95–109. https://doi.org/10.1111/j.1745-6916.2006.00007.x
Further Reading
1. P-Hacking & Research Ethics
🔸Gupta, A. (2023). An analysis of p-Hacking in organizational research. PLOS ONE.
🔸Stefan, A. M. (2023). Big little lies: A compendium and simulation of p-hacking strategies. Royal Society Open Science.
🔸Adda, J., et al. (2020). P-hacking in clinical trials and how incentives shape the research landscape. Proceedings of the National Academy of Sciences.
2. Self-Reflection in Science
🔸Olmos-Vega, F. M. (2023). A practical guide to reflexivity in qualitative research. AMEE Guide.
🔸Jamieson, M. K. (2023). Reflexivity in quantitative research: A rationale and beginner's guide. Sociological Perspectives.
3. Cognitive Biases in Science
🔸Andrieux, P. (2024). How cognitive biases influence problematic research outcomes. European Journal of Business Research Methods.
🔸Korteling, J. E. H., & Toet, A. (2023). Cognitive bias and how to improve sustainable decision-making. Frontiers in Psychology.
Authored by Rebekka Brandt
