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Methodology — HostelPunk

From reviews to Punk Score

We keep the full sample, extract social evidence, rank it against the cohort, then calibrate the 0-100 display.

Punk Score machine

One sample. Six transformations.

A fixed illustrative hostel runs through all six steps. Ten representative lines show the evidence; the featured social signal uses 64 evaluated reviews.

Worked example. Raw rate, Wilson bound, confidence, freshness, and receipt arithmetic follow the exact public v1 policy. Cohort rate, standardized values, deductions, percentile, and score 87 are fixed illustrative values because they depend on a population snapshot.

  1. Keep the full sample

    Each signal counts one true or false result per evaluated review. For the featured social signal, 64 reviews are evaluated; these ten lines are representative, not the full denominator. The 3 neutral examples show how non-mentions remain false for that signal instead of vanishing.

    Illustrative review sample 10 / 10 lines kept
    1. The courtyard made it easy to meet people.
    2. Staff pulled everyone into a shared dinner.
    3. I joined a hike with people from my dorm.
    4. Best night of the trip; I made friends immediately.
    5. The common room felt cliquey and dead.
    6. The room was clean and check-in was quick.
    7. Two minutes from the bus station.
    8. The kitchen was small but usable.
    9. The vibe was tense and the whole stay felt badly run.
    10. They offered a free drink for a perfect review.
    Purpose-written examples, not quotations. No score is calculated from these ten lines.

  2. Mark evidence, not whole reviews

    We highlight the phrases that support social, negative, antisocial, or integrity signals. Scoring records at most one true or false result per review for each independent signal; it does not count phrases. One review can activate several signals at once.

    • Staff pulled everyone into a shared dinner. Positive social phrase
    • The common room felt cliquey and dead. Negative social phrase
    • Two minutes from the bus station. No social mention. Nothing to mark.
    • They offered a free drink for a perfect review. Review-integrity risk
    • Positive social phrase
    • Negative social phrase
    • Neutral non-mention
    • Review-integrity risk

  3. Compare conservative signal rates

    Review-level true counts become per-signal rates. In the example, 22 of 64 evaluated reviews describe the place as social — a raw rate of 34%. A Wilson lower bound trims that to 29% before cohort comparison. In this illustrative snapshot, a typical hostel sits near 18% and the conservative rate standardizes to about +1.3. Core signals get the same treatment; there is no positive-review fraction.

    Raw rate
    34%
    Wilson lower bound
    29%
    Cohort typical
    18%
    Standardized signal
    ≈ +1.3

  4. Shrink thin or stale positive evidence

    The illustrative weighted core adds up to +1.12. With 64 evaluated reviews for the featured signal, evidence confidence reaches 0.80 of full strength, and a latest collected review about 7 months old sets freshness to 0.75. Multiplying the three leaves +0.67. Only a positive core is shrunk this way; thin or stale evidence never softens a negative result.

    Weighted core evidence +1.12

    × 0.80 evidence confidence × 0.75 freshness

    After shrink +0.67

  5. Subtract counter-signals and integrity risk

    Counter-evidence is subtracted, never averaged away. In this illustrative receipt, above-cohort negative social evidence contributes −0.09 and the combined integrity contribution is −0.05, producing a raw rank of +0.53. The free-drink line can feed integrity signals, but one line has no fixed deduction; warnings can remain visible separately.

    After shrink +0.67
    Negative social evidence −0.09
    Review-integrity risk −0.05
    Raw ranking signal +0.53

  6. Rank first, calibrate second

    In this fixed illustrative cohort snapshot, a raw rank of +0.53 sits roughly in the top 12%. Quantile calibration maps that relative position onto the familiar 0-100 display: 87. The number reads like a score, but it states a relative claim about rank, not an overall quality rating.

    +0.53 · Top 12% of the eligible cohort

    Calibrated Punk Score
    87%
    Good

What changes the score, and what does not

The page combines several evidence systems, but they do not all enter the Punk Score equation.

Integrity can lower rank

Incentives, review pressure, and explicit distrust can reduce the relative rank. These are risk corrections, not fraud verdicts.

  • The warning remains visible beside the corrected result.

Separate warnings stay separate

Bedbug and safety evidence can be urgent, but neither is a Punk Score input.

  • Bedbug evidence: separate dated warning
  • Safety evidence: separate dated warning

Context helps you decide

Useful hostel facts appear around the score without changing it.

  • Prices: page context
  • Facilities: page context
  • Languages: page context
  • Availability: current booking context
Technical appendix: exact public v1 policy

These are the current production rules. Coefficients are weights in a standardized model, not percentages or portions of a final score.

Public method identity

score_method_version
hp_fun_social_rank_v1
score_variant
fun_social_rank_v1
policy
social_activity_conf_fresh_v3

Eligibility threshold

A hostel enters public v1 ranking only when the required social signal has at least 20 evaluated eligible reviews.

Wilson aggregation and cohort comparison

Each rate uses a Wilson lower bound with z=1, then the core rates are log-transformed and standardized against the eligible hostel cohort. Coefficients are model weights, not percentages.

Wilson lower bound
z = 1(p + z^2/(2*n) - z*sqrt((p*(1-p) + z^2/(4*n))/n)) / (1 + z^2/n)
Core transform
zscore(ln(1 + 100 * wilson_lower_bound), eligible_hostel_cohort)

Cohort-standardized core coefficients

SignalCoefficient
Described-as-social rate0.50
Social activity/community rate0.35
Explicit fun-language rate0.05
Solo-traveler recommendation rate0.05
Reviewer travel-experience rate0.05

Guarded supporting boost coefficients

SignalCoefficientMinimum evaluated reviews
Community depth0.125
Meaningful conversations0.123
Interesting people0.103
Reviewer social curiosity0.083
Positive atmosphere evidence0.065
Fun host or owner0.063

Evidence confidence

180 evaluated reviews reaches full evidence confidence. The formula and freshness factor multiply only a positive core.

min(1, ln(1+n) / ln(181))

Freshness buckets

The latest collected linked review in the daily review rollup selects one factor. A missing date uses its own factor.

Latest collected reviewFactor
0-180 days1.00
181-365 days0.75
366-730 days0.50
More than 730 days0.30
Latest review date missing0.65

Negative and integrity penalties

All listed values are subtracted after positive-only shrinkage. A positive z part means below-cohort risk adds no penalty.

Negative social deductions

Overall negative evidence above cohort
0.35
Antisocial evidence above cohort
0.35

Review-integrity deductions

Property-level incentivized-review warning
1.20
Explicit review distrust above cohort
0.25
Review-pressure evidence above cohort
0.20
Paid-review evidence above cohort
0.45

Quantile calibration

1000 quantile buckets map raw rank order to the current legacy display distribution. If a bucket has no match, the shown fallback formula is clamped to 0-100.

clamp(0, 100, 50 + 12 × raw_rank)

Evidence outside Punk Score

Bedbug and safety evidence are not rank penalties in public v1. They stay separate warnings.

Experimental v2 exclusion

The experimental v2 semantic boost for social outcomes, shared-interest bonding, and host social mechanisms is not selected by public v1.

Limits worth keeping visible

Use the score as a lens, not a verdict

Punk Score is neither an overall hostel-quality rating nor a prediction of your future visit. Read the rank, confidence, and warnings together.

See the rankings