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Bias Report

Do Things that Don't Scale

ANALYZER:Text Bias Analyzer v.2.01
AI ENGINE:GPT-5.5
REPORT DATE:Jun 13, 2026

Analyzed Article

Do Things that Don't Scale

Paul Grahampaulgraham.com Logopaulgraham.comJul 1, 2013
Guides & How-Tos
English

Summary:

Paul Graham argues startups should use unscalable tactics—manual recruitment, obsessive customer delight, narrow markets, and hands-on work—to create momentum and learn rapidly.

Keywords:

  • Paul Graham
  • Y Combinator
  • user acquisition
  • Airbnb
  • hardware startups

Article Positions vs Key Statements

Startups should focus on a deliberately narrow initial market to achieve critical mass before expanding, instead of launching broadly from the outset.

AntiPro
90
1000100

The article explicitly endorses starting in a narrow market to get critical mass, citing the "contained fire" strategy and examples like Facebook and Airbnb to argue for focused initial launches.

Founders should prioritize laborious, unscalable early tactics—manual user recruitment and delightful service—to jumpstart growth rather than waiting for organic scale.

AntiPro
95
1000100

The article repeatedly and explicitly advocates doing unscalable manual recruitment and obsessively delighting early users as the primary way to jumpstart startups, using many prescriptive examples and directives.

Framing Pairs

The article is a practical, founder-centric how-to framed around individual action and concrete procedures. It strongly emphasizes pragmatic tactics supported by case-study evidence (Stripe, Airbnb, Facebook, Pebble), urging manual, unscalable interventions and measurement. Emotional and identity cues appear to support the advice, while systemic and moral framings are comparatively minor.

Individual vs Systemic

IndividualSystemic
80
1000100

Strongly favors individual explanation: the article repeatedly says founders must take specific actions (manual recruiting, delighting users) and treats systemic factors as context, not primary drivers.

Moral vs Pragmatic

MoralPragmatic
75
1000100

Strongly pragmatic: the piece prioritizes effectiveness, tactics, metrics, and tradeoffs over moralizing language or judgments about virtue.

Evidential vs Speculative

EvidentialSpeculative
65
1000100

Leans toward evidential: recommendations are grounded in multiple concrete examples and data (case studies, growth math) rather than speculation about hidden motives or abstract possibilities.

Procedural vs Emotional

ProceduralEmotional
45
1000100

More procedural than emotional: the article prescribes concrete steps and processes to follow, using emotional language mainly to motivate those procedures rather than to replace them.

Emotional Signals

Primarily pragmatic encouragement with a push toward immediate effort; mild empathy for founders and modest skepticism of conventional shortcuts.

Fear

20/100

Mentions early fragility and the danger of founders dismissing their own startups, but overall frames these as solvable problems rather than threats.

Outrage

10/100

Virtually no moralized anger or scandal language; criticisms are practical and constructive rather than indignant.

Urgency

70/100

Repeated imperatives ('you have to', 'go out and get them', 'do things that don't scale') and examples of time-sensitive tactics convey pressure for immediate founder action.

Sympathy

55/100

Author empathetically addresses founder doubts and fragility (baby metaphor, encouragement to founders who under-estimate potential) and offers concrete support-oriented advice.

Distrust

45/100

Skepticism toward big launches, partnerships, and conventional 'professional' behaviors (imitating big-company indifference) is a recurring theme, though presented as practical caution rather than conspiracy.

Moral Condemnation

35/100

Mild reproach for laziness, perfectionism, or naiveté (founders who wait, imitate big-company flaws), framed as poor choices rather than moral evil.

Evidence & Certainty

Confident, experience-based prescription: strong asserted claims backed by concrete startup examples, with explicit caveats and some allowance for exceptions.

Asserted Certainty

80/100

Advice is delivered in a decisive tone ('you have to', 'you should'), treating the main claims (do unscalable things early) as established lessons from YC experience.

Acknowledged Uncertainty

60/100

Text repeatedly notes exceptions and caveats (some startups grow organically, domain constraints, cases where an idea may be for one user) and includes conditional language and footnoted asides.

Ambiguity Tolerance

50/100

Author proposes a 'vector' model and suggests multiple valid unscalable tactics, allowing alternatives, but still tends toward recommending a primary playbook.

Speculative Inference

40/100

Occasional psychological inferences about founders (shyness, laziness, calibrated ambition) and causal interpretations (why launches fail) are offered without formal proof, relying on plausible reasoning.

Evidential Grounding

85/100

Arguments are supported by concrete, named examples (Stripe, Airbnb, Pebble, Microsoft, etc.), personal YC experience, and numbered notes that document practical instances and exceptions.

"Startups should focus on a deliberately narrow initial market to achieve critical mass before expanding, instead of launching broadly from the outset."

Position of the Article

AntiPro
90
1000100

The article explicitly endorses starting in a narrow market to get critical mass, citing the "contained fire" strategy and examples like Facebook and Airbnb to argue for focused initial launches.

Framing Bias

AntiPro
70
1000100

The piece frames the narrow-market approach as a broadly applicable, recommended tactic by presenting it as a common and necessary 'unscalable' step for startups to succeed.

Selection Bias

AntiPro
70
1000100

The article predominantly cites success stories (Facebook, Airbnb, Stripe, Meraki, Pebble) that followed targeted early markets while offering little attention to counterexamples of successful broad launches.

Confirmation Bias

AntiPro
60
1000100

The author emphasizes anecdotes and examples that support the 'do things that don't scale' thesis, reinforcing the conclusion that starting narrow drives growth and product fit.

Emotional Appeal

AntiPro
40
1000100

The article employs vivid metaphors and anecdotes (e.g., 'contained fire,' 'insanely great,' 'juggernaut') to make the narrow-market strategy feel compelling and motivational in addition to practical.

"Founders should prioritize laborious, unscalable early tactics—manual user recruitment and delightful service—to jumpstart growth rather than waiting for organic scale."

Position of the Article

AntiPro
95
1000100

The article repeatedly and explicitly advocates doing unscalable manual recruitment and obsessively delighting early users as the primary way to jumpstart startups, using many prescriptive examples and directives.

Framing Bias

AntiPro
85
1000100

It frames unscalable tactics as near-universal necessities and contrasts them favorably against ineffective alternatives like big launches or partnerships, steering interpretation toward the recommended approach.

Selection Bias

AntiPro
80
1000100

The piece predominantly cites successful YC-backed examples (Stripe, Airbnb, Pebble, Facebook) and positive anecdotes while offering few counterexamples or systematic failures of the approach.

Confirmation Bias

AntiPro
70
1000100

The author emphasizes evidence and stories that confirm the thesis and characterizes opposing strategies as mistakes, with limited engagement of disconfirming data or contexts where the tactics fail.

Emotional Appeal

AntiPro
70
1000100

The article uses vivid metaphors, founder anecdotes, and charged phrases like 'insanely great' and 'juggernaut' to generate enthusiasm and urgency for the recommended tactics.

Report generated by Check Text Bias. Browse other Bias Reports.

Disclaimer: This report is generated by an AI-powered tool and is for informational purposes only. Bias detection is complex, and results may not fully capture all nuances. Readers should critically evaluate the content and consider multiple perspectives. No liability is assumed for decisions based on this analysis.

Bias Report for Article: Do Things that Don't Scale | Check Text Bias