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Some futures are inherited.
Others are selected.

A speculative simulation, grounded in real research.

01 · Historical record

The first accepted edits.

Modifying human inheritance is no longer hypothetical. The timeline is shorter than most people remember.

  1. 1978

    First successful birth from in vitro fertilization (Louise Brown, UK).

    Steptoe & Edwards, The Lancet, 1978.
  2. 1990

    First clinical use of preimplantation genetic diagnosis to avoid X-linked disease.

    Handyside et al., Nature, 1990.
  3. 2012

    CRISPR-Cas9 demonstrated as a programmable genome editor.

    Jinek, Chylinski, Fonfara, Hauer, Doudna & Charpentier, Science, 2012.
  4. 2018

    Twin girls born in China from CRISPR-edited embryos. Widely condemned by the scientific community.

    Cyranoski & Ledford, Nature news, November 2018.
  5. 2019

    The lead scientist, He Jiankui, is sentenced to three years in prison in China.

    Xinhua / Reuters, December 2019.
  6. 2020

    Emmanuelle Charpentier and Jennifer Doudna awarded the Nobel Prize in Chemistry for CRISPR.

    Royal Swedish Academy of Sciences, 2020.
  7. 2023

    The United Kingdom approves the first CRISPR-based therapy (Casgevy / exa-cel) for sickle cell disease.

    Medicines and Healthcare products Regulatory Agency, November 2023.
02 · Cultural baseline

Optimization is already routine.

Genetic editing is the new edge. Cosmetic editing has been mainstream for decades. The social logic carries forward.

30M+ Cosmetic procedures performed globally each year.
Source

International Society of Aesthetic Plastic Surgery, Global Survey, 2022.

"Snapchat dysmorphia" A term coined by dermatologists in 2018 to describe patients seeking surgery to resemble filtered self-portraits.
Source

Rajanala, Maymone & Vashi, JAMA Facial Plastic Surgery, 2018.

~2% Estimated population prevalence of body dysmorphic disorder in adults.
Source

Veale et al., systematic review, Body Image, 2016.

75+ countries Restrict heritable human genome editing through legislation, treaty, or policy.
Source

Baylis, Darnovsky, Hasson & Krahn, The CRISPR Journal, 2020.

03 · Unresolved

Who decides what counts as improvement?

Would unenhanced children face discrimination?

Should personality be editable?

What happens when beauty becomes measurable?

Can diversity survive optimization culture?

04 · The simulation

Enter the lab.

What follows is a fictional consumer-product mock-up. The mechanics are speculative. The pressures are real.

[ SYSTEM NOTICE ]Behavioral projections remain low-confidence.
[ ETHICS NOTICE ]Optimization targets vary across cultures and eras.
[ REGULATORY NOTICE ]Heritable genome editing remains restricted in many regions.

Educational speculative simulation. Not medical advice.

Parent Profiles

Defaults shown represent one ancestry baseline. Use Ancestry on a parent card, ↻ to reroll, 🎲 Randomize Parents, or 🌍 Reset to global phenotype range to explore others.

Environmental InfluencesEnvironmental Modifiers

optional · tweak to refine projection

Genes aren't destiny. Tweak the nurture side too.Adjust developmental modifiers to inform downstream projections.

Enhancement Allocation Beta

Distribute credits across optimization categories. Allocations bias projected outcomes; tradeoffs are listed per package.

Compliance reference: Oviedo Convention Art. 13 (heritable-germline restriction); medical-ethics principle of non-maleficence.

0 / 200 credits
Projected Cohort Placement Untouched · baseline cohort
Estimated Cost — (baseline cohort)
Projected Access Tier Universal · baseline

All allocations remove the future subject's choice equally; the weight measures how widely the loss propagates, not whether it occurs.

Identity Lock-In Index
Minimal

A gentle reminder Disclosure

This simulator is fictional. Real traits are shaped by many genes, environment, chance, culture, health, and life experience. Babies are not customizable products. Fictional simulation for illustrative purposes. Current ethical regulations vary globally. Behavioral outcomes remain difficult to model reliably.