Hiring and Getting Hired

The evidence behind resume parsing, interview biases, and HR algorithms.

Hiring is one of the highest-stakes decisions any organization makes — and one of the most poorly understood. Behind every job posting, resume screen, and interview question lies a web of algorithms, cognitive biases, and statistical models that determine who gets an opportunity and who gets filtered out.

This section examines the evidence behind hiring: how applicant tracking systems parse resumes, what interview research reveals about bias, and why unstructured interviews predict job performance far worse than most managers believe. We look at the studies, the algorithms, and the post-mortems that reveal what hiring systems actually measure.

Latest in Hiring and Getting Hired

10 articles
The Hidden Mechanics of Hiring: What the Data Actually Reveals About How Jobs Are Filled — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
October 25, 2026

The Hidden Mechanics of Hiring: What the Data Actually Reveals About How Jobs Are Filled

The modern hiring process is riddled with structural inefficiencies, psychological biases, and a 'hidden market' that is both overhyped and misunderstood. Here is what the evidence actually shows.

8 min
The Referral Economy: What the Data Actually Reveals About How Jobs Get Filled — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
October 16, 2026

The Referral Economy: What the Data Actually Reveals About How Jobs Get Filled

Behind the polished language of job postings and applicant tracking systems lies a hiring ecosystem governed less by meritocracy than by psychology, risk aversion, and relationship networks. The evidence tells a more complicated story than most job seekers ever see.

8 min
The Hiring Illusion: What the Data Reveals About Who Gets the Job and Why — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
October 7, 2026

The Hiring Illusion: What the Data Reveals About Who Gets the Job and Why

A growing body of experimental research reveals that hiring decisions are far less objective than employers believe, shaped by name perception, recruiter fatigue, and structural networks that systematically filter out qualified candidates before they ever reach an interview.

8 min
The Rigged Funnel: What the Data Reveals About Bias, Fatigue, and Hidden Mechanics in Hiring — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
September 28, 2026

The Rigged Funnel: What the Data Reveals About Bias, Fatigue, and Hidden Mechanics in Hiring

Hiring is sold as a meritocratic process, but a growing body of field experiments, psychological research, and large-scale data analysis tells a more complicated story — one where names, timing, and informal networks quietly determine who gets the job.

8 min
The Bias Architecture: How Data Exposes the Hidden Mechanics of Hiring Discrimination — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
September 19, 2026

The Bias Architecture: How Data Exposes the Hidden Mechanics of Hiring Discrimination

From the first 30 seconds of an interview to the algorithms screening your resume, a growing body of evidence reveals that hiring decisions are shaped less by merit than by a deeply embedded architecture of cognitive, structural, and now digital bias.

8 min
The Hiring Algorithm in Your Head: What the Data Reveals About Who Gets the Job — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
September 10, 2026

The Hiring Algorithm in Your Head: What the Data Reveals About Who Gets the Job

Long before a candidate answers a single question, the hiring decision may already be forming. A growing body of evidence exposes the hidden mechanics — cognitive, structural, and systemic — that determine who gets hired and why.

8 min
The Hiring Black Hole: What the Data Reveals About a System Rigged Against the Unknown Applicant — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
September 1, 2026

The Hiring Black Hole: What the Data Reveals About a System Rigged Against the Unknown Applicant

From ghost job listings to algorithmic gatekeepers, the modern hiring process is riddled with hidden mechanics that have little to do with merit — and the evidence proves it.

8 min
The Hidden Architecture of Hiring: How Bias, Networks, and Snap Judgments Decide Who Gets the Job — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
August 23, 2026

The Hidden Architecture of Hiring: How Bias, Networks, and Snap Judgments Decide Who Gets the Job

Decades of research reveal that the modern hiring process is shaped less by qualifications than by invisible structural forces — a shadow job market, unconscious psychological biases, and split-second judgments that determine career trajectories before a candidate ever enters the room.

8 min
The Hiring Black Box: What the Data Reveals About Who Gets Hired and Why — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
August 14, 2026

The Hiring Black Box: What the Data Reveals About Who Gets Hired and Why

From algorithmic filters that never see your resume to a 50% callback gap based on name alone, the mechanics of modern hiring are shaped by forces most candidates never see — and the evidence is more systematic than anecdotal.

8 min
The Hidden Job Market: Data, Psychology, and the Mechanics Behind How Jobs Are Actually Filled — Hiring and Getting Hired | The Evidence Log
Hiring and Getting Hired
August 5, 2026

The Hidden Job Market: Data, Psychology, and the Mechanics Behind How Jobs Are Actually Filled

Between 70% and 80% of jobs are never publicly advertised, yet most job seekers spend the majority of their time on public boards. An evidence-based examination of why the hidden job market exists, how it operates, and what the data says about navigating it.

8 min

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