This paper introduces the S M Nazmuz Sakib Cohesion Conservation Principle for English–Bangla translation and formally defines the associated Sakib Cohesion Constant. The central hypothesis is that, for natural and high-quality translations between English and Bangla, a weighted scalar measure of textual cohesion is approximately conserved across the source and target, even though the distribution of cohesive devices (lexical, morphological, and discourse-particle-based) differs substantially between the two languages. Building on Halliday and Hasan’s theory of cohesion in English and Blum-Kulka’s work on shifts of cohesion in translation, the present work extends cohesion analysis by (i) distinguishing three channels of cohesive realization—lexical/grammatical connectives, morphologically encoded agreement and argument marking, and discourse particles—and (ii) proposing a quantitative conservation law specific to the English–Bangla language pair. To ground the proposal empirically, we use public datasets: large-scale parallel corpora such as the Samanantar English–Indic corpus, the SUPara and EMILLE English–Bangla corpora, a multi-source BanglaNMT training corpus, the DiMLexBangla lexicon of Bangla discourse connectives, and the Bangla RST Discourse Treebank. From these, we derive corpus-level indicators of cohesion (lexical diversity, connective inventory size, distribution of text types, and asymmetries in tokens per sentence) and estimate a Sakib Cohesion Constant as a cross-corpusstable ratio capturing how English and Bangla distribute cohesive load. Twenty data-based figures and several summary tables are provided to illustrate the empirical behaviour of the proposed constant and its relevance for translation studies, discourse analysis, and machine translation evaluation.