REPROGRAMMING HARMFUL ALGORITHMS: A PATH TO GROWTH FOR DATA PROFESSIONALS

As data professionals, we are often celebrated for our ability to analyze, predict, and optimize. We thrive in the logical and structured world of algorithms, yet we seldom pause to consider the algorithms that run our own minds—patterns of behavior and thought shaped by past experiences.

?In Chapter 4 of People Skills for Analytical Thinkers by Gilbert Eijkelenboom , we’re introduced to the concept of harmful algorithms. These deeply ingrained patterns, often formed in childhood, can hold us back in our professional lives, particularly when it comes to soft skills like communication, collaboration, and conflict resolution.

This chapter offers a roadmap for identifying and reprogramming these harmful patterns, paving the way for personal and professional transformation.?

What Are Harmful Algorithms?

Eijkelenboom uses “algorithms” as a metaphor for our learned behaviors—automatic responses we develop to navigate the world. Some algorithms are essential, like “Don’t touch a hot stove.” Others, however, can be harmful, limiting our ability to thrive in social and professional environments.

For example, if a child grows up associating disagreement with conflict, they might internalize a harmful algorithm:?

“If I express disagreement, then people will be angry and dislike me.”

As an adult, this algorithm might manifest as avoiding conflict, even when constructive debate is necessary. For data professionals, such behaviors can stifle innovation and weaken collaboration.

How Harmful Algorithms Impact Data Professionals?

1?? Avoiding Conflict at the Cost of Innovation?

In data-driven environments, questioning assumptions and challenging ideas are critical for success. Yet, harmful algorithms may compel professionals to avoid speaking up to sidestep potential conflict.?

Imagine spotting a flaw in a model but staying silent to maintain harmony. The team proceeds with inaccurate data, and the project suffers as a result. This fear-driven behavior, rooted in a childhood-formed algorithm, undermines both individual and team success.

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2?? The People-Pleasing Trap?

Another common harmful algorithm is the need to please others, often at the expense of one’s own well-being. For data professionals, this can lead to overcommitting or saying “yes” to every request, resulting in burnout and reduced productivity.

Consider this: saying “yes” might create short-term harmony, but it often leads to long-term exhaustion. For those already navigating high-stakes projects, this behavior can derail professional growth and diminish passion for the work.

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The Costs of Ignoring Harmful Algorithms

- Reduced Engagement: Staying silent or suppressing ideas can lead to disengagement and a lack of motivation.?

- Team Dysfunction: Withholding opinions robs teams of diverse perspectives, hindering robust decision-making and collaboration.?

- Resentment and Stress: Suppressed feelings often turn into resentment, creating tension that weakens trust and reduces team effectiveness.?

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How to Reprogram Harmful Algorithms

The good news? Harmful algorithms aren’t permanent. With intentional effort, they can be reprogrammed. Here’s how:

?1?? Cultivate Self-Awareness?

The first step is recognizing these patterns. Reflect on situations where you held back or felt compelled to overcommit. Ask yourself:?

- What triggered this response??

- What belief or fear drove my behavior??

For example, if you avoided speaking up in a meeting, consider whether the fear of conflict stems from past experiences. Understanding the root cause is key to initiating change.

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2?? Practice Assertive Communication?

Assertive communication is a powerful tool for breaking harmful patterns. This involves expressing your thoughts respectfully and confidently, even in challenging situations. Use frameworks like:?

- “I feel [emotion] because [reason].”?

- “I believe addressing [issue] will lead to [positive outcome].”

By practicing assertive communication, you not only contribute more effectively to discussions but also build confidence in your abilities.

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3?? Reframe Conflict as Collaboration?

One of the most transformative insights from this chapter is that disagreement doesn’t have to lead to disconnection. In fact, healthy conflict can strengthen relationships and drive innovation.?

?Reframe your algorithm to:?

“If I express disagreement thoughtfully, it can lead to mutual respect and better solutions.”?

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The Role of Empathy in Breaking Patterns

Understanding that everyone operates with their own set of algorithms fosters empathy and patience in team settings. For example, if a colleague reacts defensively to feedback, consider that their response might stem from past experiences rather than malice.?

Empathy builds trust, strengthens collaboration, and creates a psychologically safe environment where diverse ideas can flourish.

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Key Takeaways for Data Professionals

1?? Awareness Drives Change: Recognize the algorithms influencing your behavior. Awareness is the first step to transformation.?

2?? Reprogram for Success: Challenge limiting patterns and replace them with behaviors aligned with your goals.?

3?? Empathy Enhances Collaboration: Understanding others’ algorithms helps you navigate workplace dynamics with patience and insight.

Reflect on a recent situation where you stayed silent or overcommitted.

What belief drove that behavior?

How could you reprogram it to better serve your goals and values?

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Let’s start a conversation:?

What harmful algorithms have you identified in your professional life? How are you working to overcome them? Share your thoughts in the comments, and let’s learn from one another.

?By understanding and reprogramming harmful algorithms, we can unlock our full potential as data professionals—achieving success not just through technical skills but through stronger relationships, better communication, and greater emotional intelligence.

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