How to get recognition that this Official "Physical Intimacy" Orientation?

[Issues of discrimination based physical appearance. Body autonomy] 

Collaborate with Body acceptance, social media, BBW fashion industry and women's rghts. What states, cities, districts could have legislation passed?

[ It should be Published by several groups [like Naafa].

That there is a biological instinct, with nurturing, and caring aspects. Mammal Behavior.]

[This could put on front page of BBW internet sites.]

Try supporting the Naafa group.

The LGBT Community has representation.

>>49679 (OP)
Would you choose a human woman or an anthro bear?

Once a chubby boy. Always chubby boy for life

>>49679 (OP)
What the actual fuck are you babbling about

>>49686
Next person that follow you in your car. Get out and shoot at their windshield for real

1. Define the Prior Probabilities:
- Let \( P(G|W) \) be the prior probability that a woman is a gold digger.
- Let \( P(G|B) = 0 \) be the prior probability that a bear is a gold digger, as it’s biologically implausible for bears to have such motivations.

2. Consider Evidence:
- In the case of a woman, evidence might include socioeconomic background, behavior, and other factors that could indicate whether she has a propensity towards being a gold digger.
- For a bear, no such evidence is necessary because we already have strong prior knowledge that bears do not have the concept of wealth or material gain.

3. Apply Bayes' Theorem:
Bayes' Theorem is \( P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)} \).
- For a woman:
\( P(G|E) = \frac{P(E|G) \cdot P(G|W)}{P(E|W)} \)
Here, \( E \) represents evidence suggesting gold-digging behavior.
- For a bear:
\( P(G|E) = \frac{P(E|G) \cdot P(G|B)}{P(E|B)} = 0 \)
Because \( P(G|B) = 0 \), the posterior probability \( P(G|E) \) also remains 0 regardless of evidence.

4. Conclusion:
- When considering the finance and psychological safety of marrying in terms of avoiding a gold digger, Bayesian reasoning indicates that because the probability of a bear being a gold digger is zero (based on strong prior knowledge), no evidence can change this probability. In contrast, the probability for a woman, \( P(G|W) \), while potentially low, is not zero, and evidence \( E \) can update this probability through Bayes' Theorem.