Almost one in 10 people use the same four-digit PIN

Nearly 10% of people choose the same four‑digit PINs, with simple sequences, dates and cultural references dominating, as shown by a widely praised heatmap visualization. Commenters explore why such weak choices persist, noting usability pressures, shared PIN reuse across devices, and the fact that four digits often serve only as one factor alongside a physical card or token. Several anecdotes and technical points highlight how predictable patterns, default codes and design flaws can make PIN-based systems weaker in practice than the raw 10,000-combination space suggests.

How secure are 4‑digit PINs really?

  • Several comments note that 4‑digit space (10,000 combos) overstates real security because humans choose predictable values (1234, years, birthdays, patterns like 4321).
  • Attacks often don’t need your PIN, just any valid one (e.g., shared gates, car washes, calling cards), making “dictionary attacks” of common numbers very effective.
  • Some mention that many devices only require the last 4 digits and treat overlapping keypresses as multiple attempts; de Bruijn sequences can test all codes in near‑minimal keypresses.
  • Others argue 4‑digit PINs are acceptable when they’re only a second factor, backed by bank fraud detection and the difficulty of stealing the physical card.

What is the PIN in the auth model?

  • One side: card = “password” (secret you have), PIN = “username” (identifier), account number = underlying identity.
  • Opposing view: PIN behaves like a password, not a username, since many people can share the same PIN and even multiple cardholders on one account can use identical PINs.
  • Consensus leans toward the standard “something you have” (card) + “something you know” (PIN) two‑factor framing, rather than username/password analogies.

Terminology and data‑model pedantry

  • Debate over whether PINs and phone numbers are “numbers” or digit strings; risk highlighted when developers store identifiers as integers and lose leading digits.
  • Others note dictionaries explicitly define “number” as any figure(s) used for identification, so identifiers with digits/letters still count.
  • Recommendation appears: treat such identifiers as strings; represent phone numbers in standardized E.164 format.

Visualization and data quirks

  • Many like the ABC visualisation but criticize lack of hover labels and difficulty seeing relationships in only two spatial dimensions; some suggest gridlines or interactive versions.
  • Observations from the heatmap:
    • Strong clustering around dates (DDMM, MMDD) and birth years.
    • PINs starting with 0 and not forming dates are noticeably rarer (leading‑zero bias).
    • Some culturally meaningful numbers (e.g., 2112, 1701, 6969) are less common than expected.

Usability, reuse, and alternatives

  • People commonly reuse the same PIN across phones, cards, and banking apps, effectively turning PINs into shared, weaker passwords.
  • Complaints about finance apps forcing 4‑digit “fast access” PINs instead of allowing strong passwords or password managers.
  • Some propose biometrics on cards; others push back that biometrics can’t be changed if compromised.