Questioning the Question: Why Intent Matters in Every Study.
Always ask yourself: Whatâs the intent of this study?
This piece explores how intent shapes research, belief, and social narratives â and why asking why matters as much as asking what.Â
This is an important question to revisit because time keeps teaching us that knowledgeâespecially about history, anthropology, and the sciencesâis never static. Information about human behavior, biology, and society constantly evolves as new discoveries refine what we thought we knew. Fields such as medicine, physiology, psychology, sociology, and nutrition are always expanding. The picture of existence keeps getting updated.
Acknowledging that expansiveness requires humility. Humanity is still at the beginning of understanding itself and the universe. Each year, we learn more, and thatâs why I hold the mindset that we shouldnât deny somethingâs existence until we can prove it doesnât.
Take radio waves as an example: they existed long before we invented radios to detect and use them. Similarly, we canât categorically deny the possibility of a cosmic creator, spirits, or other unseen phenomena simply because we lack the instruments to measure them. Materialists often demand concrete proof, but absence of evidence isnât evidence of absenceâit may just mean we havenât yet developed the tools to perceive whatâs there.
We didnât know the microscopic world existed until the invention of the microscope. We didnât understand oxygen as a distinct element until the late 18thâŻcentury, when scientists like JosephâŻPriestley and AntoineâŻLavoisier identified it. Trees donât âseparate oxygen particlesâ exactly, but through photosynthesis they absorb carbon dioxide, use the carbon to build tissue, and release oxygen as a byâproductâmaking the air cleaner and contributing to their growth.
Humans often deny what they canât yet prove, and that skepticism has its place. It keeps inquiry grounded. At the same time, both spirituality and materialism have been misused by people seeking power or control. Whether atheist, believer, or skeptic, anyone can act harmfullyâthe constant variable is human behavior itself. Our desires and needs drive us, sometimes toward good, sometimes toward exploitation. Thatâs why frameworks like MaslowâsâŻHierarchyâŻofâŻNeeds remain relevant: they remind us that our actions often stem from fundamental human motivations rather than ideology alone.
Another example: proving where emotions appear in the brain and how hormones influence bodily sensations only shows the hardware doing its job. I tend to roll my eyes when people use that argument as if it explains everything.
Think of your computer: it has hardware, but without software and a power source, itâs inertâjust a block of materials. The human body works similarly. We have hardware (organs, tissues, neurons), software (the mindâs programming and learned patterns), and a power source (bioelectric energy).
Even with hardware and electricity, without the âsoftwareâ that organizes signals, the body wouldnât know how to process hormones, breathe, interpret facial expressions, or learn. A baby can read a parentâs emotions without formal teachingâthatâs innate programming shaped by evolution. But when the hardware malfunctions, issues appear: glitches, delays, or breakdowns. Just like a computer, if a component fails, the system stalls or shuts down until repaired or replaced.
Our bodies operate on the same principle. Electrical impulses travel through nerves; organs communicate through chemical and neural signals. The gut, for instance, sends messages to the brain via the vagus nerve, influencing mood and cognition. When an organ fails, the system destabilizesâsometimes fatally.
Despite all weâve learned, consciousness remains largely mysterious. Scientists have begun to understand that experiences can leave biological marks passed down through generationsâa field known as epigenetics, which studies how environmental factors and trauma can influence gene expression without altering DNA itself.
Weâve advanced enough to improve human life dramaticallyâreducing malnutrition, disease, and injuryâbut some scientific pursuits still raise questions about intent. Not every dataset needs to be chased endlessly. Sometimes, the more meaningful question is why weâre studying something at all.
Letâs take divorce rates as an example. Â
Comparing divorce rates among heterosexual, gay, and sapphic couples often reveals more about the intent behind the study than about the people being studied. Many of these analyses are shaped by cultural or political agendas rather than genuine curiosity about human relationships.
Historically, marriage was a propertyâbased institution. In many societies, it functioned as a contract among wealthy or aristocratic families to consolidate status and wealth. The wifeâs role was often defined by her capacity to produce heirsâan expectation that tied her body directly to property and lineage. Although marriage laws have evolved, that legacy still influences how we interpret marital data.
Divorce statistics can be misleading when used to fabricate social âproblems.â A rising divorce rate isnât necessarily negativeâit can signify that people feel freer to leave relationships that no longer serve them emotionally or mentally. For women, the right to divorce without cause or a husbandâs permission is historically recent, marking a major step toward autonomy.
When it comes to sapphic relationships, the data are even murkier. Official statistics rarely capture sexuality accurately; most divorce filings donât include a checkbox for both partnersâ identities. Surveys and questionnaires often rely on small, selfâselected samples, which limits their reliability. As a result, claims that sapphic couples have higher divorce rates are based on incomplete dataâand frequently weaponized by political figures to reinforce narratives about instability or morality.
But if sapphic couples do separate more readily, that can be read as a positive indicator of agency. It suggests theyâre less bound by patriarchal expectations to âstick it outâ when a relationship becomes stagnant or unhealthy. Choosing to leave is an act of selfârespect, not failure.
Thatâs where bias comes into play. Â
Weâll get deeper into that later, but itâs worth noting that most studies begin with a theoryâa guiding question that shapes the research design, participant selection, and data interpretation. The intent behind that theory often determines what gets studied and what gets ignored.
Not all participants carry equal weight in research, especially in fields touching social justice, diversity, equity, and inclusion. When studies focus on marginalized communitiesâsay, narrowing down to school systems in the U.S. and even more specifically to school counselorsâthe voices of participants from the most oppressed groups become crucial. Their experiences can reveal systemic issues others overlook. Yet many decline participation, often due to distrust or fatigue from being studied rather than supported. As a result, researchers work with whoever is willing, which can skew representation.
Rigidity compounds the problem. Some prominent figures in academia become so entrenched in their frameworks that they lose touch with lived reality. Their work narrows until they canât see the broader picture. History offers examplesâAlbertâŻEinstein, for instance, was brilliant but reportedly struggled with daily life and relied on others for basic tasks. Intellectual isolation can make researchers defensive when their work is questioned.
That defensiveness shows up in modern cases too. Consider the âbrain scan doctorâ who claimed everyone should undergo brain imaging to tailor treatment plans. When another physician pointed out flawsâlike ignoring the lack of affordable healthcare access in the U.S.âhe reacted with irritation instead of reflection. The critique wasnât about invalidating his entire theory; it was about context. His approach overlooked socioeconomic realities and seemed more like marketing for his book and supplement brand than genuine scientific inquiry.
The takeaway: good research requires humility. You must test your theory not only to prove it right but also to prove it wrong. Without that balance, studies risk becoming echo chambers for personal bias rather than tools for understanding.
Capitalism fuels many pursuitsâand the prestige of being known for something. Â
You can often trace a researcherâs or influencerâs motives by looking at the brands funding their work. Industries have long shaped narratives to protect profit: the meat industry promotes red meat as essential and âbioavailable,â the tobacco industry once funded studies denying links between smoking and cancer, and food corporations push the idea that ultraâprocessed foods are harmless if you just âbalance calories in and calories out.â These campaigns distract from deeper truthsâhow hormones, stress, and overwork affect healthâand why metrics like BMI fail to measure wellâbeing.
Capitalism thrives on keeping people overworked and underârested, because illness and poverty sustain consumption. When studies focus on declining birth rates, divorce rates, or the soâcalled âloneliness epidemic,â they often frame these as crises rather than symptoms of patriarchy, capitalism, and religious dogma. A lower birth rate isnât inherently badâit can reflect women reclaiming autonomy and rejecting childbearing as social currency. The childâfreeâbyâchoice movement is a sign of agency, not decline. Everyoneâs choice deserves respect, whether rooted in physiology, preference, or circumstance.
Those who panic about falling birth rates often fear losing access to bodiesâfewer people mean fewer consumers, fewer workers, and less exploitation. Capitalism depends on constant replenishment of labor and markets; when that slows, power at the top feels threatened.
Now consider studies on Intimate Partner Violence (IPV) that break data down by sexual orientationâlesbian, gay, heterosexual, bisexual. When misread or weaponized, these studies become tools of stigma. One widely circulated study, for instance, measured who experienced IPV, not who perpetrated it, yet commentators twisted it to claim âlesbians are violent.â That distortion ignores context: many lesbians have had relationships with men, and IPV can occur in any gender configuration.
Yes, sapphic couples can experience abuseâwomen are not exempt from harmful behaviorâbut the intent of such studies matters. Are they seeking solutions or reinforcing stereotypes? The people who misuse these findings often aim to control womenâs bodies and relationships, discouraging women from loving other women. Historically, lesbians have threatened patriarchy precisely because they decenter men entirely. Their focusâour focusâis on womenâs wellâbeing, autonomy, and solidarity.
If this study focused on history rather than gender, it would reveal another gap: men often donât report being victims of intimate partner violence (IPV). The numbers for gay men should be much higher. Many menâgay or straightâavoid reporting sexual assault or other forms of abuse because of cultural expectations around masculinity. They fear ridicule or disbelief.
Even when men do participate in IPV questionnaires, honesty can be complicated. Would they recognize verbal, emotional, or psychological abuse as violence? Often not. Many people donât realize theyâre being mistreated until someone helps them name it.
Men also rarely speak about being harassed or stalked by women. Social norms trivialize their discomfortâother men might joke that he should âtake the offer.â I once had a coworker confide in me about a womanâs persistent, inappropriate behavior at his job. He needed someone to listen because it made his work environment unbearable. That silence around male victimhood shows how toxic our social infrastructure has become.
A lot of people treat others poorly, feel entitled to access their bodies or emotions, and repress anger until it manifests as control or violence. Women can do the same; abuse isnât genderâexclusive. But when researchers design studies, intent matters. Biases shape what gets measured and what gets ignored.
History is full of examples. For decades, anthropology taught the âman the hunter, woman the gathererâ modelâa misconception born from male bias. Even the old evolutionary chart showing a monkey turning into a man oversimplified human origins. We now know there were multiple hominin species, and evidence shows that roughly 40â50âŻpercent of prehistoric women hunted as well. Modern technology confirmed what earlier evidence already suggested but was dismissed.
The same happened with wolves: early researchers assumed strict hierarchies based on captive observations, but later field studies revealed that wild wolf packs are family units, not dominanceâbased structures. These examples show how easily bias distorts research.
Thatâs why asking about intent is essential. Every study should be approached with discernmentâquestioning not just what it claims, but why it was done and who benefits from its conclusions.