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  The current study used multidimensional analysis to investigate written political discourse in Pakistani English, which significantly advances the discipline of linguistics. A corpus of language data is analyzed using a method known as multidimensional analysis to identify and investigate linguistic features. The study employs Biber's (1988) multidimensional analysis using D1 and D5 of the multidimensional approach to investigate how the language of Pakistani tweets holds the official language. In his multidimensional approach, Biber addresses textual information and genre in two of his six dimensions, D1 and D5, respectively. The study was carried out by analyzing data from a corpus of Pakistani English tweets using MAT software (version 1.3). Because the technology allowed for the data to be categorized and analyzed, the researchers were able to identify and quantify linguistic elements. After that, these characteristics were investigated and qualitatively assessed using D1 and D2 from the multidimensional approach. The findings demonstrated the usage of D1 non-informational vocabulary in Pakistani English political literature. The significance of the study lies in its ability to illuminate the features of written discourse in Pakistani English, specifically concerning politics. The results of the investigation suggest that the language used in written political discourse, Pakistani English, is not the official language. The study also highlights the need for multidimensional analysis in understanding the nature of written discourse across genre and linguistic barriers. To sum up, the results of this study can significantly benefit the linguistics community and direct efforts towards language standardization.