suffering.social
Estimated cost since 2009 $2,355,067,000,000
Lives lost$122.1B Depression$1.9T Economic loss$315.0B
Subconscious.ai

An open cost model | United States | Since 2009

What is social media costing us?

Lives cut short. Years with depression. Medical bills. Missed work.

Estimated cost under these settings $2,355,067,000,000 Click the total to test every number

This setting includes about 8,910 deaths and 30 million years lived with depression.

This estimate combines published research. It cannot prove cause. Change any number below and the total changes with it.

Build your estimate or start with a preset.

Model inputs

Nine estimates you can change

Move any slider. Each number shows a published low and high value, plus its source.

Each normal curve is a visual guide to that range. It does not show the odds of any value.

  1. Choose a studyStart from a published finding or the labeled opening value.
  2. Adjust the valueThe calculator keeps the study visible when you move its slider.
  3. Watch the estimateThe formula, component, and total change together.

01

Lives lost

Estimates the public cost of deaths that happened earlier than expected.

49K × 18% × $13.7M = $122B

A standard number used by public agencies. It is not the price of a person.

$13.7M
$13.7M
$7M lowIllustrative range curve$14M high

Evidence range $7M to $14M ·

Change in deaths represented in the mortality component.

49.5K
49.5K
30K lowIllustrative range curve70K high

Evidence range 30K to 70K deaths ·

This is a working estimate. No study measured this share directly.

18%
18%
7% lowIllustrative range curve30% high

Evidence range 7% to 30% ·

02

Mental health

Estimates the cost of years lived with depression.

5.0M × 6 years × 35% × $183K = $1.9T

The number of people included in this estimate.

5.0M
5.0M
2M lowIllustrative range curve8M high

Evidence range 2M to 8M ·

The average number of years each person is affected.

6.0 years
6.0 years
3 years lowIllustrative range curve8 years high

Evidence range 3 to 8 years ·

The average loss during each affected year.

35%
35%
30% lowIllustrative range curve50% high

Evidence range 30% to 50% ·

03

Economic effects

Counts direct care and lost productivity over time.

5.0M × ($8K + $6K) × 4.5 years = $315B

Extra spending on treatment and care.

$8K
$8K
$6.5K lowIllustrative range curve$12K high

Evidence range $6.5K to $12K ·

Lost income from missed work and reduced hours.

$6K
$6K
$4K lowIllustrative range curve$10K high

Evidence range $4K to $10K ·

Years in which care and productivity effects are counted.

4.5 years
4.5 years
0.25 years lowIllustrative range curve6.8 years high

Evidence range 0.25 to 6.8 years ·

Interpretation

See which choices change the answer

$2.4T estimated cost

Use this total to compare different sets of numbers. The result cannot prove cause or describe one person's experience.

Method & sources

See how the estimate works

The calculator adds the cost of lives lost, years lived with depression, healthcare, and missed work. You can change every part.

Limitations

What this estimate cannot tell us

  • A study can find a link without proving the same cause for every person.
  • We cannot directly observe what would have happened without social media.
  • Costs overlap, vary across populations, and should not be interpreted as a clinical diagnosis.

Evidence index

What this calculator can support

The output is an illustrative cumulative estimate for the United States since 2009. It combines editable assumptions about lives lost, years with depression, healthcare spending, and missed work.

Each paper's reported finding stays separate from the value mapped into the calculator. Open a source, inspect the finding, then change the model value to see its effect.

What surveys show

What changed around 2012?

Around 2012, more teenagers began reporting serious sadness and other mental health problems. Smartphones and social media also became a bigger part of daily life.

These changes happened at about the same time. That does not prove that one caused the other. Researchers need careful comparisons to test possible causes.

Illustrative index of adolescent mental-health distress, 2005 to 2021 The survey number stays fairly steady through 2011 and rises after 2012. The dashed line asks what might have happened without the change. Researchers did not measure that line. Observed turn Observed pattern Unobserved world 2005 2012 2021
The solid line shows the pattern seen in national surveys. The dashed line asks what might have happened without the change. Researchers did not measure that line.

Researchers use several checks to study the change.

  1. 01

    Check more than one survey.

    A real change should appear in several trusted sources. One chart is not enough.

  2. 02

    Compare similar groups.

    Researchers compare people who got access earlier with similar people who got access later.

  3. 03

    Test every guess.

    Change each assumption and see how much the final estimate moves.

Primary evidence

  • SAMHSA · National Survey on Drug Use and Health · 2004 to 2021
  • CDC · Youth Risk Behavior Surveillance System
  • Braghieri, Levy & Makarin · American Economic Review · 2022
  • Allcott et al. · American Economic Review · 2020

This calculator does not give a final verdict. It shows the choices behind the estimate so you can test them yourself.

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