Google AI
Lactational amenorrhea
Lactational amenorrhea is the temporary infertility experienced by some women during breastfeeding, a natural period of not having menstrual periods (amenorrhea) after childbirth, often used as a temporary, highly effective (over 98%) birth control method called the Lactational Amenorrhea Method (LAM) if specific strict rules are followed: exclusive breastfeeding (no formula/water), frequent feeds (day/night), and use only for the first six months postpartum, or until periods return.
How it works
Hormonal suppression: Frequent nipple stimulation from the baby's suckling releases hormones that prevent the release of eggs (ovulation) and the return of menstruation.
Rules for using LAM effectively (must meet all three)
Amenorrhea: You have not had a period (vaginal bleeding) since giving birth (not counting the first few weeks' bleeding).
Exclusive/Nearly Exclusive Breastfeeding: The baby gets only breast milk, no formula, water, or other liquids, and no pacifier use.
Frequent Feeding: Feedings are frequent, generally every 4 hours during the day and 6 hours at night.
When it stops being effective
Your period returns (even spotting).
Your baby starts getting solid foods, formula, or water.
Your baby goes longer than 4-6 hours between feeds.
The baby is over 6 months old.
When LAM ends, you should switch to another birth control method (like condoms) to prevent pregnancy.
Important Note
Hide in plain sight
This blog represents an experiment in existential philosophy in the digital age
Subscribe to:
Post Comments (Atom)
Deep dive into DeepMind
Gemini: DeepMind vs. Standard Frontier LLMs https://share.gemini.google/g92QeycNwTQ8 Created with Flash September 25, 2026 at 08:00 ...
-
Deepseek I am prevented from signing into my Deepseek account on both my cell phone and my laptop. I get the "wheel of death." ...
-
ds agentic ai use the next token probability method, in th main? Completed 2 steps Yes—at the core, agentic AI systems still typical...
-
What is being done to curb the ballooning error cascades of agentic ai, and how effective are these methods (try to be quantitative as well...
No comments:
Post a Comment