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Current mission: finish filling in the OTDs
SoyPCA
This page has multiple issues! - It may be confusing or unclear to readers.
- It may contain bias.
- It contains too many walls of text.
- It is an orphan and isn't linked to by any articles at all.
This page is a gem.SoyPCA is a giga-gem web-based genetic visualization tool created by an anonymous Canadian poster on soyjak.party's /pol/ board. Released in early May 2026, the website allows users to view mathematically objective 2D Principal Component Analysis (PCA) maps of different racial and ethnic groups to determine their exact genetic proximity to one another.[1][2]
The site was explicitly forged in the fires of the Sharty with the specific goal of permanently settling the continuous, highly autistic imageboard debates regarding which nationalities and ethnic groups can truly be classified as "white" or "Aryan." By plotting hard genetic data into a hyper-detailed interactive user interface, the tool single-handedly destroyed the copes of countless mutts and generated immense amounts of high-quality schizo-posting.
The Science of PCA (Principal Component Analysis)[edit | edit source]
To understand why SoyPCA is considered the ultimate weapon against historical revisionism and racial coping, one must understand the absolute, undeniable math behind Principal Component Analysis (PCA) in population genetics.
In genomics, an individual's DNA is analyzed through hundreds of thousands of SNPs (Single Nucleotide Polymorphisms) which are the exact points where human genomes vary. Because visualizing 500,000 dimensions of genetic variance is impossible for the human brain, scientists use PCA as a dimensionality reduction algorithm. PCA calculates a covariance matrix of allele frequencies and extracts eigenvectors paired with their eigenvalues.
The algorithm ranks these components. PC1 captures the absolute largest genetic divide in the dataset (usually the divergence between Sub-Saharan African and non-African DNA). PC2 captures the second-largest divide (often the divergence between West Eurasian and East Eurasian DNA). The tool supports deep exploration by allowing users to map any combination of axes from PC1 through PC4.
By plotting PC1 on the Y-axis and PC2 on the X-axis, SoyPCA mathematically collapses the entire genetic history of human migration, conquest, and interbreeding into a simple 2D plane. According to the specific genomic axes used in SoyPCA:
- Shifting Down (Y-axis): Indicates higher levels of Basal Eurasian and Sub-Saharan African admixture.
- Shifting Right (X-axis): Indicates higher levels of East Eurasian, Siberoid, and indigenous American admixture.
- Shifting Left/Up (X/Y-axis): Represents high concentrations of Western Hunter-Gatherer (WHG) and Early European Farmer (EEF) influence.
In simpler /pol/chud terms: the math strips away the illusions. As the creator noted, superficial physical traits like skin color, hair color, and eye color only account for roughly 2% of human DNA. An individual can theoretically possess fair skin, blonde hair, and blue eyes while carrying massive amounts of non-European genetic drift in their skeletal structure and brain layout. SoyPCA bypasses the 2% phenotype smoke-and-mirrors and exposes the 98% genotypic reality using calculated Mahalanobis distance metrics.
Technical Specifications and User Interface[edit | edit source]
Far from a basic static image generator, SoyPCA is a fully featured data exploration application engineered specifically for imageboard dataminers. The layout is divided into a massive full interactive plot on the left and a dense 340px sidebar panel on the right containing controls, filters, dataset stats, and the population legend.
Rendering and Performance Engine Unlike laggy SVG maps that crash your browser, SoyPCA utilizes a hyper-optimized, single-pass Canvas rendering system. This allows the tool to seamlessly render an astonishing 17,760 individual genetic samples across 7 major population groups and over 100 country labels in real-time. The interface features a mouse wheel zoom that centers on the cursor, drag-to-pan capabilities, and hover hit detection calculated via distance checks. A gradient-based density overlay provides a radial glow per point that scales with your zoom level to reveal where populations cluster the thickest.
Interactive Tooltips and Selection Hovering over any of the 17,760 points pulls up a highly detailed tooltip exposing the sample's absolute biological truth. This includes the Sample ID, Population code, Subpopulation code, Country/Group, Region, precise PC coordinates, and its exact Mahalanobis distance. The system even contains built-in outlier flags to instantly spot genetic imposters within a dataset. Clicking a specific group isolates it in the "Selected Group Panel" which calculates the visible vs total count, exact centroid (mean position), axis ranges, outlier counts, and immediately displays the nearest neighboring genetic groups based on centroid distance.
Filtration and Styling Control The 340px right sidebar provides total control over the raw data:
- Filters: A robust combined-logic system featuring text searches, dropdowns for Regions and Subpopulations, and an automatic dataset re-filtering system.
- Coloring Modes: Users can color the scatter plot by Subpopulation, Region, Country hash, or a dynamic distance-based Mahalanobis gradient.
- Marker Controls: Sliders for point size (1 to 8) and opacity (0.08 to 1). Marker shapes can be changed between circles, squares, and crosses, with an optional black outline toggle for maximum visibility.
- Grid System: Includes options for major grids, dense grids, axes only, and a special "Board-style boxes" grid explicitly tailored to the aesthetic preferences of imageboard users.
- Label System: Can toggle labels for hovered points, selected groups, or visible centroids (capped at 60 to prevent screen clutter).
- Export Features: A crucial "Save as PNG" button automatically names the file based on your selected axes and exports only the canvas, allowing chuds to instantly deploy their findings in country-war threads.
Themes Recognizing its target audience, the tool features a CSS variable-based theme system. The default is a custom "Soyjak" theme but it features a full Dark theme toggle for high-contrast, late-night /pol/ browsing.
History[edit | edit source]
The tool was first introduced in a legendary /pol/ thread on May 1, 2026, where the Canadian creator stated: "just made myself a tool that lets visually see pca maps and also tell what percentage white a certain racial groups are." Initially, the tool was an offline script running locally on the creator's machine. The OP posted screenshots highlighting various populations based on user requests, explaining that they were "too lazy to actually make it work online safely."[3]
After the original thread amassed over 500 replies of intense, unadulterated racial discourse, traumadumping, and requests, the creator finally surrendered to the demands of the mob. They ported the tool to HTML, programmed the interactive Canvas UI, integrated the massive dataset of 17,760 samples, and hosted it on Cloudflare Pages.
On May 2, 2026, they created a "part 2" thread to officially release the website to the Party, permanently cementing its place in Sharty history.[4]
Reception & Pol Debates[edit | edit source]
The tool was universally praised by /pol/ users as a "total gem" and was quickly requested to be added to the site's Happenings banner and the wiki. It sparked massive, hyper-autistic debates regarding the genetic makeup of different groups, completely shattering several long-held imageboard narratives:
- Middle Easterners: The tool revealed the hyperborean truth that Persians and certain Lebanese populations (particularly Maronite Christians) cluster incredibly closely to Europeans. The creator noted that "even the dumbest most brownest tanned persian is still genetically closer than 90% of all mexicans." This resulted in a massive thread derailment about whether Middle Eastern SISAs (Some Indian/Iranian/etc. South Asian) are the only ethical and acceptable non-European demographic for white men to marry in order to save their bloodlines.
- Latin Americans: Users fiercely debated the whiteness of Cubans, Argentinians, and Chileans. While a very small, isolated subset of wealthy white Cubans and Argentinians clustered directly with Germanic Europeans, the tool mathematically proved that even a 5 to 10% indigenous or African admixture drastically yanks Latin Americans down and to the right, heavily isolating them from the pure European cluster.
- Europeans: Users heavily analyzed the internal genetic distances of Italians, Iberians, Slavs, and Finns. The tool confirmed a measurable downward (Moorish/North African) shift in Iberians and Southern Italians, while Finns demonstrated a slight rightward (Siberoid/Asian) drift. Naturally, this fueled traditional intra-European /pol/ shitflinging, with Spaniards claiming victory over the Nords, and Nordic posters coping about medieval ancestry versus Neolithic Farmer DNA.
Trivia[edit | edit source]
- The massive Part 1 thread documenting the tool's creation famously derailed into a 100+ post pseudo-psychological schizo-meltdown. An engineering student namefag from Canada named Eskimos went on a massive traumadump about his mother selling his gaming PC, which led into a profoundly dark debate claiming that women are purely instinct-driven automatons who lack inner monologues.
- "ChileBVLLS" continuously tried to use the map to prove that Chileans are 100% pure Visigoth Basque warriors, aggressively ignoring the visual evidence of their own Amerindian admixture mapped right in front of them in the selected group panel.
- A user took the Myers-Briggs (MBTI) personality test mid-argument to prove they were an "ISTP" / "Logician" to validate their approach to picking up SISA women in real life.
- The tool's Mahalanobis distance calculator has a built-in toggle specifically to "Hide marked outliers" which essentially allows users to mathematically purge mixed-race individuals from pure datasets to make the scatter plots look cleaner.
- The creator originally intended to only run the script privately because they didn't want to deal with site creation, but the sheer volume of users begging for "paki vs jeet" and "irish vs italian" comparisons forced their hand to build the massive web tool.
References[edit | edit source]
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