Studies and Ideas

Results when I have them; active explorations while I build them

Research Studies, Evidence Audits, and Project Explorations.

A standalone writing space for evidence audits, experiments, research exploration, opinion, and curiosity, without presenting every analytical idea as a completed study. Also random thoughts and procrastinations.

32

Published posts

6

Research studies

23

Active explorations

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Department 01 / Evidence

Research Studies & Evidence Audits

These posts contain an identifiable evidence trail: a dataset or public-source corpus, a method or analytical procedure, reported findings, and explicit limitations.

  1. Evidence deskNo. 1

    Data Essay + Companion Study Successful India metric substitution proxy gap

    A data essay about a country winning at everything except the things that compound - and a companion 27-state study testing whether enrollment still carries information about fo...

  2. Evidence deskNo. 3

    Research Study data science labor market audit

    A source-backed descriptive audit of data science as a labor-market category - real BLS/HAI/McKinsey/WEF figures plus 700k+ real job postings - separating the synthetic job titl...

  3. Evidence deskNo. 5

    Research Study Bayesian optimization for virality and influence systems

    A Bayesian optimization study of virality and influence maximization, testing how sequential search, diffusion models, and graph-aware seed selection compare with simple network...

  4. Evidence deskNo. 6

    Research Study Bayesian optimization for influence maximization

    A Bayesian optimization influence maximization study on the Higgs Twitter graph, showing how search-space design can turn the same optimizer from a 48% loss into a 4.5% gain.

Department 02 / Explorations

Project & Research Explorations

These posts document work I am actively developing: product directions, analytical frameworks, metrics, systems, and future research paths. They may use sources or illustrative artifacts, while stating clearly when empirical validation is still in progress.

  1. Ideas deskNo. 3

    Research Exploration AI detection and human authenticity signals

    A research exploration of an AI-human authenticity system that treats imperfection not as noise, but as cultural, linguistic, and creative evidence for provenance-aware evaluation.

  2. Ideas deskNo. 21

    Research Exploration Bayesian optimization on graphs

    An exploration of Bayesian optimization on graphs, explaining how graph structure, combinatorial search spaces, surrogate models, and acquisition choices shape practical optimiz...

Complete archive / Reverse chronology

All Posts

  1. ArchiveNo. 1

    Data Essay + Companion Study Successful India metric substitution proxy gap

    A data essay about a country winning at everything except the things that compound - and a companion 27-state study testing whether enrollment still carries information about fo...

  2. ArchiveNo. 4

    Research Study data science labor market audit

    A source-backed descriptive audit of data science as a labor-market category - real BLS/HAI/McKinsey/WEF figures plus 700k+ real job postings - separating the synthetic job titl...

  3. ArchiveNo. 7

    Research Exploration AI detection and human authenticity signals

    A research exploration of an AI-human authenticity system that treats imperfection not as noise, but as cultural, linguistic, and creative evidence for provenance-aware evaluation.

  4. ArchiveNo. 27

    Research Study Bayesian optimization for virality and influence systems

    A Bayesian optimization study of virality and influence maximization, testing how sequential search, diffusion models, and graph-aware seed selection compare with simple network...

  5. ArchiveNo. 28

    Research Study Bayesian optimization for influence maximization

    A Bayesian optimization influence maximization study on the Higgs Twitter graph, showing how search-space design can turn the same optimizer from a 48% loss into a 4.5% gain.

  6. ArchiveNo. 29

    Research Exploration Bayesian optimization on graphs

    An exploration of Bayesian optimization on graphs, explaining how graph structure, combinatorial search spaces, surrogate models, and acquisition choices shape practical optimiz...

  7. ArchiveNo. 32

    A guide to how Chinmay Arora's technical blog uses BLUF summaries, structured evidence, internal links, and metadata to help readers, search engines, and AI systems find useful ...