Just discovered a “birth date” calculator that spits out a probability curve for the actual day of birth instead of a single due date, and I’m obsessed. It lets you plug in cycle length, ovulation date, IVF transfer day, and early ultrasound measurements. Now I’m wondering: how close can we realistically get to predicting the real birthday, not just the EDD?
Questions for OB/GYNs, midwives, and data-minded folks:
- Which factors actually shift the timing of spontaneous labor in a clinically meaningful way? (Examples I’ve seen: cycle length/luteal phase, conception/ovulation date confirmation, IVF day-3 vs day-5 transfer, first-trimester CRL dating, parity, BMI, maternal age, fetal sex.)
- In practice, when you have both LMP and an early ultrasound, what’s the re-dating threshold you use, and does it differ for irregular cycles/PCOS?
- Has anyone moved from a single EDD to a probability distribution (e.g., “P50 = X, P10/P90 = Y/Z”)? Would that change anything about scheduling antenatal testing, travel plans, or timing of elective inductions?
- Are wearables (resting heart rate, HRV, distal body temp) showing reliable pre-labor signals that could refine a short-term “imminent birth” window?
- Do clinic calculators ever factor local induction policies or parity to give a more realistic “most likely” delivery week?
- For IVF folks: do you find calculators that distinguish day-3 vs day-5 transfers noticeably more accurate for real birthday prediction?
Community experiment idea: share what you input (cycle length or ovulation date, early ultrasound GA, parity, IVF vs spontaneous) and report:
- Your calculated EDD
- The actual birthday
- Whether care was dated by LMP or ultrasound
- Any complicating factors (e.g., induction, prelabor rupture, elective CS)
If this kind of model is already validated somewhere, please link! If not, could we crowd-build a lightweight, evidence-based predictor that gives a realistic curve instead of one magic date?