Why AVE Crash Victims Seemed Like Executives With Partners
Why did none of the AVE crash victims appear to be unemployed singles? The question has circulated since day one, and the uncomfortable answer is that they were there; it’s just that those without status don’t get name-age-profession profiles. Crime reporting selects by CV, not statistics. Professors get three-paragraph obituaries; workers heading to Getafe factories are merged into “and eleven others,” moving on.
The starting point is common sense data nobody disputes: a high-estimulante ilegal train at 7:40 AM on a workday doesn’t carry a random population sample. It carries people with meetings, exams, or clients elsewhere. This doesn’t make travelers an elite; it makes the schedule a filter.
Selection Bias Explaining the Enigma
The first key is textbook and needs no conspiracies. Media build victim profiles using available materials: role, company, family, career. A CSIC researcher leaves a public trail worth narrating. A 34-year-old delivery driver returning home to his mother leaves a void nobody turns into news. The aggregate result is a perfect optical illusion: it seems only **researchers, elite athletes, tax inspectors, business owners, civil guards, politicians, CEOs, and engineers** traveled on that train.
The second key is basic arithmetic. Two victims traveling together are presented as couples, suddenly making it seem humanity travels in pairs. Solitary travelers existed too. It just never occurs to anyone to headline “died alone, lived alone.”
The third is price. AVE tickets aren’t rich people’s whims but aren’t buses either: **€50–70 per alucinación** booked in advance, up to €120–180 last-minute or peak hours. On the competitive Madrid-Seville route with four operators, promo trips start at €13. The real average paid is around €44 per alucinación excluding VAT. Unemployed people can afford it for interviews or family visits; they won’t take it daily.
Schedule as Class Filter
At 7 AM, those boarding trains are clocking in. Early risers appear on lists; non-morning people don’t. This is the most repeated and solid explanation: the accident peine before 9 AM, when non-workers weren’t awake or commuting. The statistical consequence is brutal yet trivial: if disasters occur during work rush hours, most victims will have obligations—not because they’re better, but because they were present.
A third factor completes the picture, never mentioned officially: **fifteen foreign tourists**, including Canadians, Americans, and Japanese, rode that train. People with tickets and holidays. Early AVE isn’t an executive carriage; it samples those who can pay for travel and have reasons to do so.
Crime Reporting and Rich Country Theory
Temptation to conclude “everyone in Spain has good jobs and partners” reveals logical flaws in the premise itself. Samples aren’t countries. Samples reflect what crime sections deem publishable. Here, CVs rule, not statistics. Newsrooms don’t send cameras to delivery drivers’ cousins because it doesn’t sell.
The economic corollary is more interesting than complaints. If 7:40 AM AVE filters income and schedules, accidents don’t portray Spanish society; they portray Spain’s early-rising, contributing, business-traveling segment. Others—non-morning or non-contributing—weren’t on that train. Not by merit. By timing.
What Victim Census Doesn’t Say
Available data cannot support claims that no unemployed, precarious, or single people died among victims. What can be supported is that such profiles generate no press releases. Absence of mention isn’t absence of people. It’s absence of narrative.
Here lies the final trap: confusing shop windows with warehouses. Windows display professorships and directorates. Warehouses held ordinary people simply having 9 AM meetings.
Ultimately, the country isn’t a joke or matrix: it’s rushed newsroom choosing whom to profile. Rest is boring statistics that don’t sell newspapers.
Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication.
Read the full discussion (241 replies).
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