Voidly
Data

Asia / Southern Asia · PK

Pakistan.

A closer look at internet access.
The score, the signals, the source.

7-day index score

11/100

A dated sample-based score. Higher values indicate more interference in the index model.

Measurements in window
47,963
Original snapshot rank
#13

Snapshot fetched

Editorial context

Understand the backdrop.

Pakistan filters content on religious and political grounds. Social media platforms are frequently restricted.

High editorial tierstable editorial trend

This context is curated and undated. The trend is an editorial label, not a computed recent movement.

Country narrative, score basis and historical source

Pakistan filters content on religious and political grounds. Social media platforms are frequently restricted.

Editorial text is preserved as source context. Product recommendations do not guarantee unrestricted access. The source tier may differ from the measured score because the two have different definitions.

Score window: 7 days. Snapshot fetched . Content first seen . Upstream serve-time . These timestamps do not date the all-time OONI observations.

All-time measurements accumulate from an older source file without an observation window or timestamp. The all-time blocked ratio is not the confidence-shrunk score. Zero counts and absent fields are kept distinct.

All-time measurement archive

Accumulated measurements
706,714
Flagged blocked in archive
84,106
All-time blocked / total
11.9%
Stored protocol counts · separate historical fields
Web690,619
Telegram8,023
WhatsApp8,072

No collection date or complete-country coverage claim is attached to this archive. Protocol fields can be incomplete and need not sum to the historical total.

Country incident records

Start with an observation.

All country records
261 source records · 10 returned hereGenerated
  1. Internet connectivity disruption in Pakistan

    ioda · PK-2026-1821

    3 source measurements · incident confidence 67.0%

    Record description

    IODA detected significant connectivity drop in Pakistan. 3 critical alerts recorded.

    Type disruptionStatus activeSeverity critical
  2. Internet censorship detected in Pakistan

    censoredplanet · PK-2026-1820

    1 source measurements · incident confidence 65.0%

    psiphon.ca · telegram.org

    Record description

    CenAlert detected interference. Impact: 1.0. Reported by: HTTP blocking (timeout): 3/3 probes blocked (100.0%) for psiphon.ca.

    Type censorshipStatus suspectedSeverity critical
  3. Internet censorship detected in Pakistan

    censoredplanet · PK-2026-1818

    1 source measurements · incident confidence 65.0%

    protonvpn.com · telegram.org

    Record description

    CenAlert detected interference. Impact: 0.8. Reported by: HTTPS blocking (timeout): 10/13 probes blocked (76.9%) for protonvpn.com.

    Type censorshipStatus suspectedSeverity critical
  4. Internet censorship detected in Pakistan

    censoredplanet · PK-2026-1816

    1 source measurements · incident confidence 65.0%

    psiphon.ca · telegram.org

    Record description

    CenAlert detected interference. Impact: 1.0. Reported by: HTTP blocking (timeout): 3/3 probes blocked (100.0%) for psiphon.ca.

    Type censorshipStatus suspectedSeverity critical
  5. Internet connectivity disruption in Pakistan

    ioda · censoredplanet · PK-2026-1812

    5 source measurements · incident confidence 70.0%

    bbc.com · getlantern.org · google.com · medium.com · nytimes.com · openai.com · protonvpn.com · psiphon.ca · reddit.com · signal.org · telegram.org · theguardian.com · tumblr.com · twitter.com

    Record description

    IODA detected significant connectivity drop in Pakistan. 5 critical alerts recorded. CenAlert confirms censorship activity.

    Type mixedStatus activeSeverity critical
  6. Internet connectivity disruption in Pakistan

    ioda · censoredplanet · PK-2026-1808

    1 source measurements · incident confidence 65.0%

    psiphon.ca · telegram.org

    Record description

    IODA detected significant connectivity drop in Pakistan. 1 critical alerts recorded. CenAlert confirms censorship activity.

    Type mixedStatus activeSeverity critical
  7. Internet censorship detected in Pakistan

    censoredplanet · PK-2026-1809

    1 source measurements · incident confidence 65.0%

    bbc.com · claude.ai · facebook.com · getlantern.org · instagram.com · nytimes.com · openai.com · protonvpn.com · psiphon.ca · reddit.com · signal.org · substack.com · telegram.org · theguardian.com · tiktok.com · tumblr.com · twitter.com · youtube.com

    Record description

    CenAlert detected interference. Impact: 1.0. Reported by: DNS blocking detected: 2/2 probes anomalous (100.0%) for bbc.com.

    Type censorshipStatus suspectedSeverity critical
  8. Internet connectivity disruption in Pakistan

    ioda · PK-2026-1805

    2 source measurements · incident confidence 67.0%

    Record description

    IODA detected significant connectivity drop in Pakistan. 2 critical alerts recorded.

    Type disruptionStatus activeSeverity critical
  9. Internet connectivity disruption in Pakistan

    ioda · censoredplanet · PK-2026-1804

    2 source measurements · incident confidence 67.0%

    psiphon.ca · telegram.org

    Record description

    IODA detected significant connectivity drop in Pakistan. 2 critical alerts recorded. CenAlert confirms censorship activity.

    Type mixedStatus activeSeverity critical
  10. Internet connectivity disruption in Pakistan

    ioda · censoredplanet · PK-2026-1801

    2 source measurements · incident confidence 67.0%

    bbc.com · facebook.com · getlantern.org · huggingface.co · instagram.com · medium.com · nytimes.com · openai.com · protonvpn.com · psiphon.ca · reddit.com · signal.org · substack.com · telegram.org · tiktok.com · tumblr.com · twitter.com · youtube.com

    Record description

    IODA detected significant connectivity drop in Pakistan. 2 critical alerts recorded. CenAlert confirms censorship activity.

    Type mixedStatus activeSeverity critical

Statuses come from each record; “active” is not inferred from severity or an absent end date. Incident confidence is a source field, not independent certainty that censorship occurred.

Evidence sources, query scope and dates
  • ioda: named by 6 returned incident records
  • censoredplanet: named by 8 returned incident records

This is the source mix in the latest returned incident sample, not independent corroboration of the country score. A record can name multiple sources; the counts can overlap.

Dataset version: 2026.10.26. Malformed rows omitted: 0. All readable returned records appear above; each links to its complete evidence and citation page.

Measurement context

Know what is observed.

Quality methods

Current country response

Source branch
OONI response
OONI measurements
48,972
Sample anomaly rate
10.9%
Source confirmed-rate field
0.0%
Measurement source updated

An anomaly is a measurement result requiring interpretation. These country API fields use a different basis from the dated, confidence-shrunk index score.

Services named by this API response
SignalTelegramTor

Names may be tests or services. Inclusion alone does not establish complete blocking.

Country API basis and complete response

Source generated: . This is a source timestamp, not proof that every underlying observation is current.

Open the source response

Complete returned record
{
  "@context": "https://schema.org",
  "@type": "Country",
  "name": "Pakistan",
  "identifier": "PK",
  "url": "https://voidly.ai/censorship-index/pk",
  "additionalProperty": [
    {
      "@type": "PropertyValue",
      "name": "Censorship Score",
      "value": 11,
      "description": "0-100 scale where 100 = total internet censorship"
    },
    {
      "@type": "PropertyValue",
      "name": "Anomaly Rate",
      "value": 0.1085722453646982
    },
    {
      "@type": "PropertyValue",
      "name": "Measurement Count",
      "value": 48972
    }
  ],
  "data": {
    "country": "PK",
    "name": "Pakistan",
    "flag": "🇵🇰",
    "region": "Asia",
    "timestamp": "2026-10-26T03:35:43.964Z",
    "status": "low",
    "score": 11,
    "categoryScores": {},
    "blockedSites": [],
    "affectedServices": [
      "Signal",
      "Telegram",
      "Tor"
    ],
    "voidlyProbes": {
      "total": 0,
      "successful": 0,
      "blocked": 0
    },
    "ooni": {
      "status": "normal",
      "anomalyRate": 0.1085722453646982,
      "confirmedRate": 0,
      "measurementCount": 48972,
      "affectedServices": [
        "Signal",
        "Telegram",
        "Tor"
      ],
      "lastUpdated": "2026-10-26T02:30:03.000Z"
    },
    "activeIncidents": []
  },
  "dataSource": "live_ooni",
  "source": "Voidly Global Censorship Index",
  "lastUpdated": "2026-10-26T03:35:44.173Z"
}

Country measurement quality

Measurement confidence
84/100 · high
30-day source measurements
1,328
Distinct measured domains
492
Reported source count
3
Hours since measured
9

Quality measures evidence confidence, not censorship probability. A small or absent sample cannot establish country-wide access. Quality generated: .

Quality source
Country-origin probes and global network status

Probe network statistics are not published while we review what they reveal. No country-origin probe count is shown.

Probe aggregates, per-probe and operator listings are temporarily withheld to protect volunteer operators. Historical country-origin records, if returned, do not establish current or whole-country coverage.

Model outlook

Read the horizon.

Drivers & similar episodes

7-day event probability

82.4%

A censorship or connectivity event within seven days of the model’s as-of date, relative to the country’s baseline. It does not predict an exact shutdown date or measure standing freedom.

Model: honest_forecast_v1
Model as-of date:
Source decision threshold: 62.5%

7-day model, legacy trajectory and full source

Source generated: . This is a source timestamp, not proof that every underlying observation is current.

fixed in-sample model confidence, NOT a per-forecast calibrated probability

Use for cross-country RISK RANKING, not precise within-country day-of-shutdown timing.

This forecast scores the ONSET of a new recorded incident, not how censored a country already is. A permanently and stably blocked network generates no new anomaly, so it scores LOW. Measured 2026-07-31: China 0.015 and India 0.023 both rank BELOW Denmark 0.062 — China is probed 30/30 days across 836 domains and has logged nothing for 71 days, while Denmark is probed 2/30 days. A low score here means 'no CHANGE expected', never 'this country is free'. For standing severity use /v1/atlas/score-v2 or the censorship index instead.

Training ROC AUC 0.954 came from a RANDOM stratified split (consecutive country-days in an incident window are near-duplicates, inflating it). No target leakage: features use [date-7,date], label uses [date+1,date+7].

~0.85-0.90 (dual-holdout temporal gate)

ML_LEAKAGE_AUDIT.md (forecast v1/7day row).

Open the source response

Complete returned record
{
  "aci": {
    "active": false,
    "reason": "unverified: training holdout and ACI outcomes do not match the served headline or qualified target"
  },
  "aci_alpha": null,
  "confidence": 0.85,
  "country": "PK",
  "country_name": "Pakistan",
  "covered": true,
  "forecast": [
    {
      "date": "2026-10-26",
      "day": 0,
      "drivers": [],
      "risk": 0.01
    },
    {
      "date": "2026-10-27",
      "day": 1,
      "drivers": [],
      "risk": 0.01
    },
    {
      "date": "2026-10-28",
      "day": 2,
      "drivers": [],
      "risk": 0.03
    },
    {
      "date": "2026-10-29",
      "day": 3,
      "drivers": [],
      "risk": 0.012
    },
    {
      "date": "2026-10-30",
      "day": 4,
      "drivers": [],
      "risk": 0.01
    },
    {
      "date": "2026-10-31",
      "day": 5,
      "drivers": [],
      "risk": 0.04
    },
    {
      "date": "2026-11-01",
      "day": 6,
      "drivers": [],
      "risk": 0.019
    },
    {
      "date": "2026-11-02",
      "day": 7,
      "drivers": [],
      "risk": 0.017
    }
  ],
  "forecast_trajectory_note": "summary.max_risk comes from honest_forecast_v1, an EXPERIMENTAL score: its historical rolling-origin AUC (~0.815) did not hold in live use (recent monthly live AUC 0.26-0.29, worse than chance). No proven onset-timing skill; do not cite it as a forecast. Re-evaluation: B1602 (2026-10). The per-day forecast[] trajectory is the legacy v1 illustrative shape; the v1 value is kept as max_risk_v1_leaky.",
  "generated_at": "2026-10-26T03:35:43.678108",
  "honest_caveat": {
    "confidence_is": "fixed in-sample model confidence, NOT a per-forecast calibrated probability",
    "correct_use": "Use for cross-country RISK RANKING, not precise within-country day-of-shutdown timing.",
    "detects_change_not_state": "This forecast scores the ONSET of a new recorded incident, not how censored a country already is. A permanently and stably blocked network generates no new anomaly, so it scores LOW. Measured 2026-07-31: China 0.015 and India 0.023 both rank BELOW Denmark 0.062 — China is probed 30/30 days across 836 domains and has logged nothing for 71 days, while Denmark is probed 2/30 days. A low score here means 'no CHANGE expected', never 'this country is free'. For standing severity use /v1/atlas/score-v2 or the censorship index instead.",
    "headline_auc_note": "Training ROC AUC 0.954 came from a RANDOM stratified split (consecutive country-days in an incident window are near-duplicates, inflating it). No target leakage: features use [date-7,date], label uses [date+1,date+7].",
    "honest_temporal_holdout_auc": "~0.85-0.90 (dual-holdout temporal gate)",
    "live_forward_accountability": [
      "GET /v1/sentinel/accuracy (status unvalidated; empirical precision/recall withheld)",
      "GET /v1/forecast/onset-skill (honest onset / forward skill)"
    ],
    "source": "ML_LEAKAGE_AUDIT.md (forecast v1/7day row)."
  },
  "honest_forecast": {
    "as_of": "2026-10-23",
    "flag": true,
    "is_headline_source": true,
    "probability": 0.8237,
    "recommended_threshold": 0.625,
    "risk_band": "elevated",
    "semantics": "probability of a censorship/connectivity EVENT in the next 7 days (country-relative z-score label)",
    "validation": "Historical backtest only: rolling-origin AUC ~0.815, PR-AUC ~0.29. It did NOT hold in live use (recent monthly live AUC 0.26-0.29, worse than chance). Experimental; under re-evaluation (B1602). Do not cite as a validated forecast."
  },
  "interval_90": null,
  "model_version": "honest_forecast_v1",
  "summary": {
    "avg_risk": 0.018,
    "key_drivers": [],
    "max_risk": 0.8237,
    "max_risk_day": 5,
    "max_risk_v1_leaky": 0.04
  },
  "top_features": [
    {
      "contribution": -0.0696,
      "direction": "down",
      "name": "week_of_year",
      "source": "model"
    },
    {
      "contribution": -0.0611,
      "direction": "down",
      "name": "blocked_count_roll7_mean",
      "source": "model"
    },
    {
      "contribution": -0.0339,
      "direction": "down",
      "name": "block_rate_roll7_std",
      "source": "model"
    }
  ],
  "top_features_per_day": [
    {
      "base_prob": 0,
      "date": "2026-10-26",
      "day": 0,
      "risk": 0.01,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-10-27",
      "day": 1,
      "risk": 0.01,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-10-28",
      "day": 2,
      "risk": 0.03,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-10-29",
      "day": 3,
      "risk": 0.012,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-10-30",
      "day": 4,
      "risk": 0.01,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-10-31",
      "day": 5,
      "risk": 0.04,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-11-01",
      "day": 6,
      "risk": 0.019,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": -0.0339,
          "direction": "down",
          "name": "block_rate_roll7_std",
          "source": "model"
        }
      ]
    },
    {
      "base_prob": 0,
      "date": "2026-11-02",
      "day": 7,
      "risk": 0.017,
      "top_features": [
        {
          "contribution": -0.0696,
          "direction": "down",
          "name": "week_of_year",
          "source": "model"
        },
        {
          "contribution": -0.0611,
          "direction": "down",
          "name": "blocked_count_roll7_mean",
          "source": "model"
        },
        {
          "contribution": 0.035,
          "direction": "up",
          "name": "day_decay_t+7",
          "source": "overlay"
        }
      ]
    }
  ]
}
Legacy daily illustration · 8 points

The returned daily shape belongs to legacy v1. It is not independently validated and does not describe the honest 7-day headline model above. Its peak day, fixed confidence and interval must not be attached to that headline.

summary.max_risk comes from honest_forecast_v1, an EXPERIMENTAL score: its historical rolling-origin AUC (~0.815) did not hold in live use (recent monthly live AUC 0.26-0.29, worse than chance). No proven onset-timing skill; do not cite it as a forecast. Re-evaluation: B1602 (2026-10). The per-day forecast[] trajectory is the legacy v1 illustrative shape; the v1 value is kept as max_risk_v1_leaky.

DateLegacy valueSource drivers
2026-10-261.0%
2026-10-271.0%
2026-10-283.0%
2026-10-291.2%
2026-10-301.0%
2026-10-314.0%
2026-11-011.9%
2026-11-021.7%
Legacy forecast evaluation

Original display confidence field: 85.0%. The source describes this as fixed in-sample model confidence, not calibrated per-forecast certainty.

Three horizons. Interval unvalidated.

Separate multi-horizon model. Each mark is a model score. The former residual bands lack validated 90% coverage and are withheld.

1d

15.1% · interval unvalidated

7d

67.9% · interval unvalidated

30d

70.0% · interval unvalidated

Model: multi-horizon-h-v1. Interval coverage is unvalidated; these estimates do not support precise within-country timing.

Source consistency: within the model’s monotonicity tolerance.

Per-horizon breakdown
Multi-horizon limitations, features and source

Source generated: . This is a source timestamp, not proof that every underlying observation is current.

AUC (e.g. 1d ~0.91) OVERSTATES usefulness — per-horizon F1 is much lower (~0.45 at 1d) because shutdown-positive days are rare and the 7/30-day target is a sliding window that is highly autocorrelated day-to-day (a leakage-prone label).

LOCO binary-outcome residual widths are not validated 90% probability intervals; bands are withheld at every horizon.

Use for cross-country RISK RANKING within the watched panel, NOT precise within-country day-of-shutdown timing. Data-backed for covered countries only (see the 'covered' flag).

This forecast scores the ONSET of a new recorded incident, not how censored a country already is. A permanently and stably blocked network generates no new anomaly, so it scores LOW. Measured 2026-07-31: China 0.015 and India 0.023 both rank BELOW Denmark 0.062 — China is probed 30/30 days across 836 domains and has logged nothing for 71 days, while Denmark is probed 2/30 days. A low score here means 'no CHANGE expected', never 'this country is free'. For standing severity use /v1/atlas/score-v2 or the censorship index instead.

Per-horizon AUC is leave-one-country-out on the SPOTLIGHT (watched) panel, NOT all 130 countries; see /v1/forecast/multi-horizon/info for the per-horizon F1.

Open the source response

Complete returned record
{
  "consistency": {
    "monotonic": true,
    "violations": []
  },
  "country": "PK",
  "country_name": "Pakistan",
  "covered": true,
  "generated_at": "2026-10-26T03:35:43.887230",
  "honest_caveat": {
    "auc_caveat": "AUC (e.g. 1d ~0.91) OVERSTATES usefulness — per-horizon F1 is much lower (~0.45 at 1d) because shutdown-positive days are rare and the 7/30-day target is a sliding window that is highly autocorrelated day-to-day (a leakage-prone label).",
    "conformal_caveat": "LOCO binary-outcome residual widths are not validated 90% probability intervals; bands are withheld at every horizon.",
    "correct_use": "Use for cross-country RISK RANKING within the watched panel, NOT precise within-country day-of-shutdown timing. Data-backed for covered countries only (see the 'covered' flag).",
    "detects_change_not_state": "This forecast scores the ONSET of a new recorded incident, not how censored a country already is. A permanently and stably blocked network generates no new anomaly, so it scores LOW. Measured 2026-07-31: China 0.015 and India 0.023 both rank BELOW Denmark 0.062 — China is probed 30/30 days across 836 domains and has logged nothing for 71 days, while Denmark is probed 2/30 days. A low score here means 'no CHANGE expected', never 'this country is free'. For standing severity use /v1/atlas/score-v2 or the censorship index instead.",
    "metrics_are": "Per-horizon AUC is leave-one-country-out on the SPOTLIGHT (watched) panel, NOT all 130 countries; see /v1/forecast/multi-horizon/info for the per-horizon F1."
  },
  "honest_horizons": [
    "1d",
    "30d",
    "7d"
  ],
  "horizons": {
    "1d": {
      "conformal_90": null,
      "horizon": "1d",
      "horizon_days": 1,
      "interval_status": "unvalidated",
      "probability": 0.1511,
      "top_features": [
        {
          "feature": "week_of_year",
          "shap_value": -1.0626322031021118
        },
        {
          "feature": "day_of_week",
          "shap_value": -0.30177268385887146
        },
        {
          "feature": "block_rate_roll7_mean",
          "shap_value": -0.20593833923339844
        },
        {
          "feature": "block_rate_roll7_std",
          "shap_value": -0.20068879425525665
        },
        {
          "feature": "recent_shutdown",
          "shap_value": -0.10365422070026398
        }
      ]
    },
    "30d": {
      "conformal_90": null,
      "horizon": "30d",
      "horizon_days": 30,
      "interval_status": "unvalidated",
      "probability": 0.6999,
      "top_features": [
        {
          "feature": "week_of_year",
          "shap_value": -0.9086069464683533
        },
        {
          "feature": "gdelt_unrest_30d",
          "shap_value": 0.28310948610305786
        },
        {
          "feature": "block_rate_roll14_mean",
          "shap_value": 0.12372643500566483
        },
        {
          "feature": "recent_shutdown",
          "shap_value": -0.11985835433006287
        },
        {
          "feature": "month",
          "shap_value": -0.07462112605571747
        }
      ]
    },
    "7d": {
      "conformal_90": null,
      "horizon": "7d",
      "horizon_days": 7,
      "interval_status": "unvalidated",
      "probability": 0.6792,
      "top_features": [
        {
          "feature": "week_of_year",
          "shap_value": -0.755672812461853
        },
        {
          "feature": "block_rate_roll7_mean",
          "shap_value": 0.3978728950023651
        },
        {
          "feature": "block_rate_roll7_std",
          "shap_value": -0.27199840545654297
        },
        {
          "feature": "blocked_count_roll7_mean",
          "shap_value": 0.16869255900382996
        },
        {
          "feature": "risk_tier",
          "shap_value": 0.1447388380765915
        }
      ]
    }
  },
  "model_version": "multi-horizon-h-v1"
}

Model evaluation and labels differ. Honest 7-day model · Multi-horizon evaluation. An API response date is not the date of the underlying training data.

Additional signals

More context. Separate models.

Model changelog

Each source answers a different question. Missing signals stay visible.

Partial composite sum

51.16 / 100

Separate from the index score. A weighted signal composite; sparse evidence can pull it toward zero.

Input status unverified. Not a full Voidly Score.

Source marks its age within the stated freshness limit.

Score method
Source, dates and limitations

Source generated: . This is a source timestamp, not proof that every underlying observation is current.

  • Weights are hand-tuned, not learned end-to-end.
  • The seven components are correlated — the weighted sum is not a pure information-theoretic average.
  • 'Intensity' is editorial framing. The metric is a censorship-risk-weighted average across live signals, not a direct user-facing measurement.
  • Mobile-blocking skew is approximated from OONI test_name= URL params and gated to countries with at least 10 probes in the last 7 days.
  • The first 3 days after rollout the smoothed series equals the raw score (cold start); deltas stabilize after that.
  • Countries with sparse data (low OONI coverage, no recent incidents, no DBSCAN window) will float near 0 not because they are uncensored but because the signals collapse there.

Open the source response

Complete returned record
{
  "age_hours": 23,
  "components_normalized": {
    "agreement": 0.6721,
    "classifier": 0.2686,
    "dbscan": 1,
    "domain_div": 0.6215,
    "forecast": 0.8237,
    "incident_rate": 0.0805,
    "mobile_skew": 0.1515
  },
  "components_points": {
    "agreement": 8.4,
    "classifier": 10.07,
    "dbscan": 18.75,
    "domain_div": 7.77,
    "incident_rate": 1.01,
    "mobile_skew": 0.95
  },
  "country": "PK",
  "country_name": "Pakistan",
  "delta_vs_yesterday": -4.23,
  "ema_status": "warm",
  "generated_at": "2026-10-25T04:35:33.267737+00:00",
  "honest_caveats": [
    "Weights are hand-tuned, not learned end-to-end.",
    "The seven components are correlated — the weighted sum is not a pure information-theoretic average.",
    "'Intensity' is editorial framing. The metric is a censorship-risk-weighted average across live signals, not a direct user-facing measurement.",
    "Mobile-blocking skew is approximated from OONI test_name= URL params and gated to countries with at least 10 probes in the last 7 days.",
    "The first 3 days after rollout the smoothed series equals the raw score (cold start); deltas stabilize after that.",
    "Countries with sparse data (low OONI coverage, no recent incidents, no DBSCAN window) will float near 0 not because they are uncensored but because the signals collapse there."
  ],
  "interpretation": "smoothed_score is what to put in a headline; raw_score is today's component sum before EMA. delta_vs_yesterday is the movement (positive = censorship intensifying).",
  "previous_raw_score": 70.43,
  "previous_smoothed_score": 55.39,
  "raw_score": 46.94,
  "raw_signals": {
    "agreement_n_sources": null,
    "agreement_rate_2plus": 0.6721,
    "classifier_date": null,
    "classifier_label": 0,
    "classifier_probability": 0.2686,
    "classifier_threshold": 0.6388,
    "classifier_version": "v3.3",
    "dbscan_anomaly_score_raw": 6.8265,
    "dbscan_date": "2026-10-23",
    "dbscan_is_anomaly": true,
    "forecast_key_drivers": [],
    "forecast_max_day": 3,
    "forecast_max_risk": 0.8237,
    "incidents_24h_censorship": 0,
    "incidents_24h_disruption": 1,
    "incidents_24h_weighted": 0.3,
    "mobile_skew": 0.0757,
    "ooni_mobile_probes_7d": 44,
    "ooni_probes_7d": 581,
    "unique_blocked_domains_30d": 26
  },
  "run_date": "2026-10-25",
  "schema": "voidly-score-country/v1",
  "sidecar_age_hr": 23,
  "smoothed_score": 51.16,
  "stale": false,
  "stale_after_hours": 26,
  "stale_field_note": "`stale` is three-valued: true / false / \"unknown\". \"unknown\" means the age could not be determined (missing or unparseable timestamp) and is NOT an assertion of freshness -- it is truthy on purpose so that a consumer testing the field falls to the cautious side. Check `stale_known` for a strict boolean and `stale_reason` for how the verdict was reached.",
  "stale_known": true,
  "stale_reason": "generated_at is 23.00h old, within the 26.00h threshold.",
  "weights": {
    "agreement": 0.125,
    "classifier": 0.375,
    "dbscan": 0.1875,
    "domain_div": 0.125,
    "incident_rate": 0.125,
    "mobile_skew": 0.0625
  }
}

Conditional incident duration

5 median days

Scenario: a critical censorship incident in Pakistan. This is not a timer for an existing incident.

Source interquartile range: 3–5 days.

Exploratory · source model is below its promotion threshold.

Model trained: . Censoring in training data: 78.4%.

Duration assumptions, request and source

Source generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.

  • model below promote floor (c=0.55, n=343) — treat as exploratory
  • censoring rate in training set: 78%

This read-only inference endpoint requires a POST request:

POST https://api.voidly.ai/v1/forecast/duration
Content-Type: application/json

{
  "country": "PK",
  "severity": "critical",
  "incident_type": "censorship"
}

API documentation

Complete returned record
{
  "country": "PK",
  "features_used": {
    "continent_Africa": 0,
    "continent_Americas": 0,
    "continent_Asia": 1,
    "continent_Europe": 0,
    "continent_Oceania": 0,
    "country_risk_tier": 2,
    "first_seen_month": 10,
    "first_seen_year": 2026,
    "prior_shutdowns_count_24mo": 224,
    "severity_critical": 1,
    "severity_warning": 0,
    "type_censorship": 1,
    "type_mixed": 0
  },
  "honest_caveats": [
    "model below promote floor (c=0.55, n=343) — treat as exploratory",
    "censoring rate in training set: 78%"
  ],
  "incident_type": "censorship",
  "iqr_days": 2,
  "median_days": 5,
  "median_hours": 120,
  "model": {
    "censoring_rate": 0.7842565597667639,
    "class": "RandomSurvivalForest",
    "feature_names": [
      "country_risk_tier",
      "first_seen_year",
      "first_seen_month",
      "prior_shutdowns_count_24mo",
      "continent_Africa",
      "continent_Americas",
      "continent_Asia",
      "continent_Europe",
      "continent_Oceania",
      "severity_critical",
      "severity_warning",
      "type_censorship",
      "type_mixed"
    ],
    "name": "shutdown_duration_rsf_v1",
    "trained_at": "2026-05-21T12:01:30.451711Z"
  },
  "model_c_index": 0.5455,
  "n_training_samples": 343,
  "p25_hours": 72,
  "p75_hours": 120,
  "promoted": false,
  "severity": "critical",
  "survival_curve_summary": [
    {
      "hours": 48,
      "survival_prob": 0.9
    },
    {
      "hours": 72,
      "survival_prob": 0.75
    },
    {
      "hours": 120,
      "survival_prob": 0.5
    },
    {
      "hours": 120,
      "survival_prob": 0.25
    },
    {
      "hours": 6216,
      "survival_prob": 0.1
    }
  ]
}

Contagion follow-risk

Follower estimate unavailable.

Trigger attribution is probabilistic, not causal. Noisy-OR aggregation can overstate risk when triggers share a cause.

Source, dates and limitations

Source generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.

Open the source response

Behavioral neighbors

Similarity of measured blocking patterns, not governments or intent. Sparse feature coverage lowers confidence.

Source, dates and limitations

Source generated: . This is a source timestamp, not proof that every underlying observation is current.

Similarity here is BEHAVIORAL, not political. Two countries are near each other because they BLOCK in similar ways — comparable method mix, target categories and temporal shape — which does NOT imply comparable governments, laws or intent. A stable democracy with seasonal sports-piracy blocks can sit near an authoritarian state if their measured blocking footprints rhyme. Feature vectors are SPARSE for low-coverage countries (flagged sparse=true, <3 of 5 behavioral feature families populated) — their neighbors are dominated by regime/continent/cohort one-hots and should be read with low confidence. The 2D graph projection (UMAP or PCA) compresses a 32-dimensional space to 2 and loses information — use the cosine `neighbors` list, not pixel distance in the projection, for any quantitative claim.

Open the source response

Complete returned record
{
  "country": "PK",
  "generated_at": "2026-10-19T05:10:36.755424+00:00",
  "honest_caveat": "Similarity here is BEHAVIORAL, not political. Two countries are near each other because they BLOCK in similar ways — comparable method mix, target categories and temporal shape — which does NOT imply comparable governments, laws or intent. A stable democracy with seasonal sports-piracy blocks can sit near an authoritarian state if their measured blocking footprints rhyme. Feature vectors are SPARSE for low-coverage countries (flagged sparse=true, <3 of 5 behavioral feature families populated) — their neighbors are dominated by regime/continent/cohort one-hots and should be read with low confidence. The 2D graph projection (UMAP or PCA) compresses a 32-dimensional space to 2 and loses information — use the cosine `neighbors` list, not pixel distance in the projection, for any quantitative claim.",
  "method": "standardized-cosine + pca",
  "nearest": [
    {
      "continent": "Asia",
      "country": "VN",
      "risk_tier": 2,
      "similarity": 0.8588,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "AE",
      "risk_tier": 2,
      "similarity": 0.8407,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "MM",
      "risk_tier": 2,
      "similarity": 0.8222,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "IR",
      "risk_tier": 1,
      "similarity": 0.7862,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "CN",
      "risk_tier": 1,
      "similarity": 0.764,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "SA",
      "risk_tier": 2,
      "similarity": 0.7505,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "TH",
      "risk_tier": 2,
      "similarity": 0.7425,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "BD",
      "risk_tier": 2,
      "similarity": 0.7352,
      "sparse": false
    },
    {
      "continent": "Asia",
      "country": "TR",
      "risk_tier": 2,
      "similarity": 0.7263,
      "sparse": false
    },
    {
      "continent": "Africa",
      "country": "EG",
      "risk_tier": 2,
      "similarity": 0.7133,
      "sparse": false
    }
  ],
  "query_meta": {
    "continent": "Asia",
    "country": "PK",
    "dtw_cohort": 3,
    "evidence_count": 9859,
    "feature_families_present": 5,
    "feature_families_total": 5,
    "risk_tier": 2,
    "sparse": false
  },
  "version": "v1"
}

Evidence grade distribution

A: 28B: 205C: 24F: 4

Grades are source rubric categories. They do not independently establish deliberate blocking.

Grading rubric
Source, dates and limitations

Source generated: Date unavailable. This is a source timestamp, not proof that every underlying observation is current.

Open the source response

Complete returned record
{
  "distribution": {
    "A": 28,
    "B": 205,
    "C": 24,
    "F": 4
  },
  "filters": {
    "country": "PK",
    "incident_type": null
  },
  "rules": {
    "A": "else",
    "B": "n_sources >= 1 AND avg_confidence >= 0.7",
    "C": "n_sources >= 2 AND n_domains >= 3",
    "F": "duration_hours >= 24 AND n_sources >= 2"
  },
  "total": 261,
  "ungraded": 0
}

Measured circumvention results

Generic commercial VPN bootstrap

29.3% probe success · 123 probes · 30-day source window.

Probe success is an upper bound on real-user success. “Try first” is not a safety guarantee; results can become stale within hours.

Source verdict: mostly-blocked.

Required caveats, tool notes and complete results

Source generated: . This is a source timestamp, not proof that every underlying observation is current.

  • PROBE SUCCESS != REAL-USER SUCCESS. DPI vendors increasingly rate-limit real client traffic while letting OONI / Voidly synthetic measurement probes through. Success rates here are an UPPER BOUND on what a real user will see.
  • Recommendations can become stale within hours. Censorship adapts. If a try_first tool stops working, the next probe rotation (cron daily 06:00 UTC) will catch it but you will see it before we do.
  • 'Try first' is NOT 'safe'. It means 'highest measured success rate, highest probe confidence.' Operational security (unique device, throwaway account, no SIM, no DNS leak, etc.) is the USER's responsibility — none of that is captured here.
  • Domain-fronted tools (Snowflake, Lantern, Psiphon) are SYSTEMATICALLY UNDER-ESTIMATED. Bootstrap-domain probes do not measure the rotating tunnel endpoints those tools actually use.
  • Self-hosted WireGuard / OpenVPN on a private IP is INVISIBLE to OONI probes and is not represented here. If you have one, trust it over any commercial recommendation.
  • Tor rows roll up vanilla / obfs4 / Snowflake / Meek transports. Per-transport granularity needs raw OONI nettests, out of scope for v1.
  • DO NOT share this recommendation as a forum-shareable card without the caveat block. The do_not_share_card_without_caveats flag in the response is on by design.

Open the source response

Complete returned record
{
  "country_code": "PK",
  "coverage_note": "Every measured tool in PK fell into the AVOID tier (< 10% probe success at >= 0.50 confidence). The headline above is the least-bad row, NOT a working recommendation. Consider a self-hosted WireGuard / OpenVPN endpoint on a private IP (invisible to OONI), or a tool we do not measure (e.g. Cloudflare WARP, Outline, Snowflake-only Tor).",
  "do_not_share_card_without_caveats": true,
  "endpoints": {
    "info": "/v1/atlas/circumvention/info",
    "leaderboard": "/v1/atlas/evasion/leaderboard",
    "upstream_evasion_table": "/v1/atlas/evasion/PK"
  },
  "generated_at": "2026-10-25T06:00:26.039107+00:00",
  "headline_basis": "best-of-measured (none cleared try_first or fallback bar)",
  "headline_recommendation": {
    "category": "commercial-vpn-aggregate",
    "confidence": 0.99,
    "n_total_probes": 123,
    "rank_score": 0.2706,
    "success_rate": 0.2927,
    "tool_name": "Generic commercial VPN bootstrap",
    "tool_note": "Aggregate over ProtonVPN, ExpressVPN, Mullvad, VPN Gate. Hides per-vendor variation. Look at the per-tool rows to see which specific vendor passes if any.",
    "tool_slug": "generic-vpn",
    "verdict": "mostly-blocked"
  },
  "honest_caveats": [
    "PROBE SUCCESS != REAL-USER SUCCESS. DPI vendors increasingly rate-limit real client traffic while letting OONI / Voidly synthetic measurement probes through. Success rates here are an UPPER BOUND on what a real user will see.",
    "Recommendations can become stale within hours. Censorship adapts. If a try_first tool stops working, the next probe rotation (cron daily 06:00 UTC) will catch it but you will see it before we do.",
    "'Try first' is NOT 'safe'. It means 'highest measured success rate, highest probe confidence.' Operational security (unique device, throwaway account, no SIM, no DNS leak, etc.) is the USER's responsibility — none of that is captured here.",
    "Domain-fronted tools (Snowflake, Lantern, Psiphon) are SYSTEMATICALLY UNDER-ESTIMATED. Bootstrap-domain probes do not measure the rotating tunnel endpoints those tools actually use.",
    "Self-hosted WireGuard / OpenVPN on a private IP is INVISIBLE to OONI probes and is not represented here. If you have one, trust it over any commercial recommendation.",
    "Tor rows roll up vanilla / obfs4 / Snowflake / Meek transports. Per-transport granularity needs raw OONI nettests, out of scope for v1.",
    "DO NOT share this recommendation as a forum-shareable card without the caveat block. The do_not_share_card_without_caveats flag in the response is on by design."
  ],
  "informational_disclaimer": "This endpoint is INFORMATIONAL, not a safety guarantee. Probe success is an upper bound on real-user success. User assumes the risk of any tool selected from this ranking. 'Try first' does not mean 'safe' — it means 'highest measured success, highest probe confidence.'",
  "insufficient_coverage": false,
  "lookback_days": 30,
  "min_total_probes_floor": 100,
  "n_tools_measured": 5,
  "n_total_probes": 557,
  "rank_formula": "success_rate * sqrt(confidence) * recency_decay",
  "schema": "voidly-circumvention-recommendation/v1",
  "tier_definitions": {
    "avoid": {
      "description": "High-confidence measurements show <10% probe success. Very likely blocked. Listed for transparency — do not trust the bootstrap path.",
      "label": "Avoid",
      "max_success_rate": 0.1,
      "min_confidence": 0.7
    },
    "fallback": {
      "description": "Either partial measured success (30%+) OR not enough probes to be sure. Worth trying if the try_first tools fail — but expect lower reliability.",
      "label": "Fallback",
      "max_confidence_for_uncertain": 0.5,
      "min_success_rate_lower": 0.3
    },
    "try_first": {
      "description": "High measured success rate AND high probe confidence. Still informational only — DPI vendors increasingly block real clients while letting measurement probes pass, so success_rate is an upper bound.",
      "label": "Try first",
      "min_confidence": 0.7,
      "min_success_rate": 0.7
    }
  },
  "tiers": {
    "avoid": [
      {
        "category": "commercial-vpn-aggregate",
        "confidence": 0.99,
        "n_total_probes": 123,
        "rank_score": 0.2706,
        "success_rate": 0.2927,
        "tool_name": "Generic commercial VPN bootstrap",
        "tool_note": "Aggregate over ProtonVPN, ExpressVPN, Mullvad, VPN Gate. Hides per-vendor variation. Look at the per-tool rows to see which specific vendor passes if any.",
        "tool_slug": "generic-vpn",
        "verdict": "mostly-blocked"
      },
      {
        "category": "commercial-vpn",
        "confidence": 0.99,
        "n_total_probes": 123,
        "rank_score": 0.2706,
        "success_rate": 0.2927,
        "tool_name": "ProtonVPN",
        "tool_note": "Blocking protonvpn.com does NOT block all ProtonVPN tunnels. Individual WireGuard / OpenVPN endpoint IPs may stay reachable.",
        "tool_slug": "protonvpn",
        "verdict": "mostly-blocked"
      },
      {
        "category": "vpn-proxy",
        "confidence": 0.99,
        "n_total_probes": 42,
        "rank_score": 0.0448,
        "success_rate": 0.0476,
        "tool_name": "Psiphon",
        "tool_note": "Psiphon ships a bundled server list — even if psiphon.ca is blocked, the app can usually bootstrap from cached entries.",
        "tool_slug": "psiphon",
        "verdict": "blocked"
      },
      {
        "category": "anonymity-network",
        "confidence": 0.99,
        "n_total_probes": 257,
        "rank_score": 0,
        "success_rate": 0,
        "tool_name": "Tor",
        "tool_note": "Tor uses obfs4 by default. If obfs4 fails, switch to the Snowflake bridge from inside the Tor Browser settings. The OONI tor test does NOT differentiate transports, so this row is the aggregate.",
        "tool_slug": "tor",
        "verdict": "blocked"
      },
      {
        "category": "p2p-circumvention",
        "confidence": 0.574,
        "n_total_probes": 12,
        "rank_score": 0,
        "success_rate": 0,
        "tool_name": "Lantern",
        "tool_note": "Lantern bootstraps from getlantern.org but rotates endpoints aggressively after that. Bootstrap-domain block does not mean ongoing-connection block.",
        "tool_slug": "lantern",
        "verdict": "blocked"
      }
    ],
    "fallback": [],
    "try_first": []
  },
  "tools_ranked": [
    {
      "block_rate": 0.7073,
      "blocking_methods": {
        "dns-blocking": 6,
        "http-blocking-timeout": 8
      },
      "category": "commercial-vpn-aggregate",
      "confidence": 0.99,
      "confidence_band": "high",
      "domains_observed": [
        "protonvpn.com"
      ],
      "first_observed": "2026-09-27T00:00:00Z",
      "last_observed": "2026-10-21T00:00:00Z",
      "n_blocked_probes": 87,
      "n_successful_probes": 36,
      "n_total_probes": 123,
      "n_unique_asns": 3,
      "rank_score": 0.2706,
      "recency_decay": 0.9292,
      "recency_decay_known": true,
      "recency_decay_note": null,
      "success_rate": 0.2927,
      "tier": "avoid",
      "tool_name": "Generic commercial VPN bootstrap",
      "tool_note": "Aggregate over ProtonVPN, ExpressVPN, Mullvad, VPN Gate. Hides per-vendor variation. Look at the per-tool rows to see which specific vendor passes if any.",
      "tool_slug": "generic-vpn",
      "verdict": "mostly-blocked"
    },
    {
      "block_rate": 0.7073,
      "blocking_methods": {
        "dns-blocking": 6,
        "http-blocking-timeout": 8
      },
      "category": "commercial-vpn",
      "confidence": 0.99,
      "confidence_band": "high",
      "domains_observed": [
        "protonvpn.com"
      ],
      "first_observed": "2026-09-27T00:00:00Z",
      "last_observed": "2026-10-21T00:00:00Z",
      "n_blocked_probes": 87,
      "n_successful_probes": 36,
      "n_total_probes": 123,
      "n_unique_asns": 3,
      "rank_score": 0.2706,
      "recency_decay": 0.9292,
      "recency_decay_known": true,
      "recency_decay_note": null,
      "success_rate": 0.2927,
      "tier": "avoid",
      "tool_name": "ProtonVPN",
      "tool_note": "Blocking protonvpn.com does NOT block all ProtonVPN tunnels. Individual WireGuard / OpenVPN endpoint IPs may stay reachable.",
      "tool_slug": "protonvpn",
      "verdict": "mostly-blocked"
    },
    {
      "block_rate": 0.9524,
      "blocking_methods": {
        "dns-blocking": 6,
        "http-blocking-timeout": 8
      },
      "category": "vpn-proxy",
      "confidence": 0.99,
      "confidence_band": "high",
      "domains_observed": [
        "psiphon.ca"
      ],
      "first_observed": "2026-09-27T00:00:00Z",
      "last_observed": "2026-10-22T00:00:00Z",
      "n_blocked_probes": 40,
      "n_successful_probes": 2,
      "n_total_probes": 42,
      "n_unique_asns": 3,
      "rank_score": 0.0448,
      "recency_decay": 0.9458,
      "recency_decay_known": true,
      "recency_decay_note": null,
      "success_rate": 0.0476,
      "tier": "avoid",
      "tool_name": "Psiphon",
      "tool_note": "Psiphon ships a bundled server list — even if psiphon.ca is blocked, the app can usually bootstrap from cached entries.",
      "tool_slug": "psiphon",
      "verdict": "blocked"
    },
    {
      "block_rate": 1,
      "blocking_methods": {
        "tor-blocking": 41
      },
      "category": "anonymity-network",
      "confidence": 0.99,
      "confidence_band": "high",
      "domains_observed": [],
      "first_observed": "2026-09-25T12:00:00Z",
      "last_observed": "2026-10-05T18:00:00Z",
      "n_blocked_probes": 257,
      "n_successful_probes": 0,
      "n_total_probes": 257,
      "n_unique_asns": 0,
      "rank_score": 0,
      "recency_decay": 0.675,
      "recency_decay_known": true,
      "recency_decay_note": null,
      "success_rate": 0,
      "tier": "avoid",
      "tool_name": "Tor",
      "tool_note": "Tor uses obfs4 by default. If obfs4 fails, switch to the Snowflake bridge from inside the Tor Browser settings. The OONI tor test does NOT differentiate transports, so this row is the aggregate.",
      "tool_slug": "tor",
      "verdict": "blocked"
    },
    {
      "block_rate": 1,
      "blocking_methods": {
        "dns-blocking": 6
      },
      "category": "p2p-circumvention",
      "confidence": 0.574,
      "confidence_band": "medium",
      "domains_observed": [
        "getlantern.org"
      ],
      "first_observed": "2026-09-27T00:00:00Z",
      "last_observed": "2026-10-18T00:00:00Z",
      "n_blocked_probes": 12,
      "n_successful_probes": 0,
      "n_total_probes": 12,
      "n_unique_asns": 2,
      "rank_score": 0,
      "recency_decay": 0.8792,
      "recency_decay_known": true,
      "recency_decay_note": null,
      "success_rate": 0,
      "tier": "avoid",
      "tool_name": "Lantern",
      "tool_note": "Lantern bootstraps from getlantern.org but rotates endpoints aggressively after that. Bootstrap-domain block does not mean ongoing-connection block.",
      "tool_slug": "lantern",
      "verdict": "blocked"
    }
  ]
}

Network variation

Look inside the country.

Global ISP index

Under review: ISP block rates. Verdict: unknown. These verdicts counted CensoredPlanet rows and IODA outages as blocks, which Voidly no longer accepts as block evidence, so they are withheld until a fixed checker passes review. The source did not report a data date. Why these answers are held ↗

Source: https://api.voidly.ai/v1/isp/index?country=PK

Editorial service list

Know the named targets.

Undated editorial context. Check current evidence before treating a service as blocked.

Some social mediaBlasphemous contentPolitical sites
Domain-check status and limits

Country guidance

Keep alternatives ready.

The original country recommendations are preserved below. They are undated guidance, not a guarantee of access or safety.

  • Use Voidly VPN
  • Enable encrypted DNS
  • Use secure messaging apps

Questions, answered

Pakistan, in context.

Is the internet censored in Pakistan?

The dated 7-day index score is 11/100. That describes the source sample, not every person, network or domain in Pakistan.

Pakistan filters content on religious and political grounds. Social media platforms are frequently restricted.

Use the recent records and their original sources to investigate a particular restriction. Disruption alone does not establish intentional censorship.

Which websites and services are affected in Pakistan?

The editorial list names: Some social media, Blasphemous content, Political sites. It is undated context, not a current availability check.

Results can differ between networks, measurement times and targets. Country incident records and the country API preserve source details.

How does Pakistan compare with other countries?

Original snapshot rank: #13. Editorial risk tier: High. Editorial trend: stable. The tier and trend are curated context; they are not a measured change between recent dates.

The index includes a dated score window and a separate all-time measurement corpus. Compare like-for-like windows and inspect sample coverage before drawing a national comparison. Compare the index.

Which blocking methods appear in Pakistan?

The pipeline can record DNS interference, TCP resets, HTTP block pages, TLS/SNI failures and network-level outages. This list describes possible mechanisms; it does not claim every mechanism was observed in Pakistan.

Each incident and ISP record below retains its reported mechanism and evidence. Inspect the country evidence query before attributing a failure to deliberate blocking.

How recent is the data?

The index score snapshot was fetched . Its source serve-time can advance without changes in the underlying scores. The accumulating historical OONI file has no dated observation window.

Current country data, incidents, network state and models have independent source dates. The page read those responses . Public GET reads request five-minute revalidation; response read time is not observation time. Model POST requests remain uncached. This page does not continuously refresh. Missing, stale and uncovered responses remain labeled.

Subscribe to source feeds
How can I check a specific domain in Pakistan?

Direct domain-check output is temporarily withheld while source-safety review is in progress. The web checker, API, MCP and CLI do not currently provide a fresh check here.

Use dated country incident evidence to inspect reported domains, observation times and methods. Historical evidence is not a current availability result or a guarantee for every user.

Accessibility status and limits · MCP tool availability.

Can a VPN help with restrictions in Pakistan?

Results depend on local networks and the transport used. The source’s complete country guidance is preserved in the recommendations section. Voidly’s current product details belong on the VPN page; a measured probe result is not a safety or success guarantee.

How do I cite this Pakistan profile?

Use the canonical country URL, https://voidly.ai/pk, with your access date and the date of any source snapshot you quote. The citation below supports plain text and BibTeX copy/download. A model generation or page access date is not a publication date.

Voidly-original analysis is CC BY 4.0. Upstream records keep their own attribution and licenses.

Open evidence

Keep the citation attached.

Country JSON
Download .txt
Voidly Research. (n.d.). Pakistan Internet Censorship Profile. https://voidly.ai/pk (accessed 2026-10-26).

Citations use the public /pk URL. Access date is not publication date. Cite the individual source, observation time and model version when using a number.

Voidly-original analysis and annotations are CC BY 4.0. Upstream OONI, IODA and Censored Planet records retain their own licenses. Read and attribute the underlying evidence.

Agent summary

Facts: Pakistan: 7-day index score 11/100; 47,963 measurements in that score window. The sample does not establish a domain or service block verdict.

As of score observation: Unavailable. Score snapshot fetched: 2026-10-26T01:07:32.518Z. Fetch time is not the underlying measurement time. OONI source last fetched: ; this is a separate source fetch, not an observation time.

Sources: 2 distinct names (ioda, censoredplanet) in 10 returned incident records, up to 10. Missing source lists: 0. This is not the score source count or independent corroboration.

Cite: Voidly Research. (n.d.). Pakistan Internet Censorship Profile. https://voidly.ai/pk (accessed 2026-10-26).

Use this in your agent

Connect the read-only Atlas MCP service, then select and copy this request into your agent.

Atlas MCP setup · Agent summary JSON · Endpoint: https://atlas-mcp.voidly.ai/mcp