"Diversity by Design or Default? The Illusion of True Inclusion"
Sunil Verghese, PCC-ICF
Executive Coach at EZRA | SHRM Master Facilitator | LHH Leadership Coach | Persolkelly Coach | Group Coaching on Leadership | Career Transition Enabler| Expert in Logic and Contextual Intelligence Coaching
“Cultural differences are real, and cannot be talked away by using pejorative terms such as “stereotypes” or “racism.” ―?Thomas Sowell,?Civil Rights: Rhetoric or Reality
“The most basic question is not what is best, but who shall decide what is best” – Thomas Sowell
The corporate world is abuzz with talk of inclusion and gender equality, heralding these as the new cornerstones of workplace ethics. Yet, beneath this apparent commitment lies a deeper, more troubling issue: Are these ideals genuinely pursued, or are they mere corporate posturing?
Let’s not be naive. Many individuals enter the work world sphere from societies where traditional gender roles, social, and religious entanglements are deeply embedded. In these contexts, the very notion of inclusion, as defined by corporate standards, is foreign, though in reality its awesome to have true D & I. These individuals are then thrust into environments that demand immediate alignment with values they may neither understand nor truly accept.
Apart from the sociological perspective, modern science and mathematics also play a role in reinforcing discriminatory thinking—although few acknowledge or accept this. The paradox must be considered: if human discrimination is frowned upon, why do we study statistical concepts like discriminant analysis, which essentially categorizes and distinguishes between different groups? Similarly, regression analysis involves drawing a slope and identifying data points as either close to or far from this reference, subtly reinforcing a mindset of discrimination or differentiation.
When individuals are taught these concepts and use them in their work, yet are then told not to think this way because the organization promotes diversity and inclusion, it creates cognitive dissonance. People, deeply influenced by their upbringing and social culture, may subconsciously adopt the discriminatory mindsets ingrained through both social conditioning and their sciences training.
Much like in discriminant analysis, where things are classified into predefined categories based on certain characteristics, people in the workplace silently attempt to categorize employees into narrow classifications under the guise of diversity and inclusion (D&I) initiatives. This process oversimplifies the complexity of human identity. Just as statistical methods simplify classification, corporate efforts often reduce human diversity to checkboxes for inclusion. The expectation is that employees can fully conform to a universal standard, disregarding the richness or poverty of their psychological, social, and cultural context.
Here lies the
·?????? first conflict: the psychological turmoil of reconciling deeply ingrained beliefs with new corporate expectations—whether these expectations are genuine or postured is beside the point.
·?????? The second, equally insidious conflict arises from the nature of these corporate demands. Are companies truly committed to fostering inclusion, or is this just a superficial display designed to tick boxes and appease societal pressures?
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·?????? Or, alternatively, are they genuinely focused on creating a workplace that benefits all stakeholders?
At its worst, inclusion efforts can be compared to a poorly constructed regression model, where data points are forced to align closely with the slope, even when this manipulation distorts the truth. Organizations attempt to predict and control outcomes—such as increased diversity metrics or employee satisfaction—based on a limited set of variables like gender or ethnicity. However, much like an incomplete / fudged regression model, these initiatives fail to account for the deeper, more qualitative aspects of human interaction: power dynamics, personal history, and emotional intelligence. By focusing on superficial metrics, corporations overlook the cultural undercurrents that truly shape behavior. As a result, the policies they implement may appear progressive on paper but fail to lead to meaningful change.
When inclusion is driven by pseudo-commitment rather than genuine intent, it fosters an environment of hypocrisy. Employees may outwardly conform, but this surface-level acceptance does little to change their deeper convictions. Instead, it breeds resentment, confusion, and a disconnect between ‘what is’ and ‘what is practiced’.
This tension can be likened to the bell curve, a statistical representation where most data points fall within a 'normal' range, while the outliers—those on the edges—may be seen as anomalies. In the context of corporate diversity, the 'normal' range might represent employees who easily align with the company's diversity ideals, while those whose beliefs or cultural backgrounds differ are pushed to the margins. Rather than celebrating these outliers—the very people whose perspectives could enrich the workplace—corporations often try to pull everyone toward a homogenized middle. The result is a false sense of inclusion, where diversity is acknowledged but not truly embraced, and where those who don't fit the mould are subtly pressured to conform.
What we face is not just a clash between individual and corporate values but a collision with a corporate narrative that may itself be hollow. True inclusion cannot be achieved through hollow gestures. It requires sincere, thoughtful engagement with the complexities of human nature, cultural diversity, and the deeply human elements that go beyond mere data points. These include spiritual dimensions, material motivations, and the interplay of individual identities—all of which defy the simplistic policy and its implementation hypes that corporations often rely on.
The question remains: Are Leaders building inclusive workplaces, or are we merely constructing facades, with policies that serve as little more than a corporate version of statistical noise—filling the gaps without addressing the underlying complexities?
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