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Later akousmata print a bean ban as medical-religious law

Pythagoras is not the sole author of every later object, law, or museum label that uses the name. In the causal graph this event weakens Health-System Capacity, a driver that strengthens Hospital beds (per 1,000 people) — a worsening welfare path.

Later akousmata print a bean ban as medical-religious law

Sources: [1][2]

Read the full account

Iamblichus English still tells readers not to eat beans. A food-law as medicine is a low-confidence rival to shared dietetics.

Context

Do store the printed ban.

Pythagoras is not the sole author of every later object, law, or museum label that uses the name. Shared work with courts, excavators, printers, spouses, officials, and later states does not erase a documented role, and it does not make an ancient person the signer of a twentieth-century statute.

Why it matters

Printed bean-taboo is not a 6th-century clinical trial.

Who was responsible

Contribution type and responsibility level for each recorded actor — not sole-author shorthand.

  • Pythagoras

    Person

    Direct responsibility

    responsibility level 0.15 · verified

    Named sage as heading of later school reports. Iamblichus, Euclid’s editors, and later math teachers publish the instrument.

What changed

Fact → Driver → Indicator. Relationship strength orders the paths; it is not the observed indicator movement.

    1. FactLater akousmata print a bean ban as medical-religious law
    2. weakensDriverHealth-System Capacity
    3. strengthensIndicators (2)Hospital beds (per 1,000 people)
    Worsening path

    impact weight 0.25 · Effect from 1 July 1905 · verified

    Printed bean-taboo is not a 6th-century clinical trial.

    • Hospital beds (per 1,000 people)

      via Health-System Capacity

      Worse

      Strengthens · Relationship strength 0.15 (weight 0.25 × strength 0.6)

      Observed

      3.08 Per 1000 people · 1.24 below the normal line (2023)

      Worse than normal

      6 readings, 2018–2023: rose from 3.07 Per 1000 people to 3.08 Per 1000 people.

      Above normal = better

    • Under-five mortality rate (global)

      via Health-System Capacity

      Worse

      Weakens · Relationship strength 0.13 (weight 0.25 × strength 0.5)

      Observed

      37.4 deaths per 1,000 live births · 12.4 above the normal line (2024)

      Worse than normal

      7 readings, 2018–2024: fell from 40 deaths per 1,000 live births to 37.4 deaths per 1,000 live births.

      Above normal = worse

Evidence

The sources behind this fact and its verification state.

Verified2 sources on file
  1. 1.Britannica — PythagorasEncyclopaedia Britannica · High credibility · verified
  2. 2.Iamblichus, Life of Pythagoras — public-domain EnglishProject Gutenberg · High credibility · verified

Causal path

How this event connects to drivers and indicators in the graph.

  1. ActorPythagoras
  2. contributed toFactLater akousmata print a bean ban as medical-religious law
  3. weakensDriverHealth-System Capacity
  4. strengthensIndicatorHospital beds (per 1,000 people)

Cite this page

Factrail. (2026). Later akousmata print a bean ban as medical-religious law. Factrail. https://factrail.ai/facts/py-health-bean-taboo

https://factrail.ai/facts/py-health-bean-taboo

Accessed 16 October 2026.

By the · Method: how we source and score · Last reviewed

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