Think of a jar with 50 red and 50 blue marbles (allele frequencies p=q=0.5). To make the next generation you scoop only 4 marbles and refill by copying them. You might scoop 3 red, 1 blue — now p=0.75. Repeat, and soon you hit all-red or all-blue. That drift to fixation is unavoidable in finite populations.
We model the next generation's allele count as picking 2N gene copies (for N diploid individuals) from a parent pool with allele-A frequency p.
Step 1 — set up the sampling.
Number of A copies in offspring =X∼Binomial(2N,p).
Why this step? Each of the 2N gene copies is an independent "success/failure" draw of allele A with probability p — that is the textbook definition of a binomial.
Step 2 — mean of the new frequency.E[p′]=2NE[X]=2N2Np=pWhy this step?E[X]=2Np for a binomial. So drift has no direction — on average frequency is unchanged. Drift is a variance effect, not a mean effect.
Step 3 — variance of the new frequency.
Binomial variance Var(X)=2Np(1−p)=2Npq. Dividing a random variable by a constant 2N divides its variance by (2N)2:
Var(p′)=(2N)22Npq=2Npq
Step 4 — probability of fixation.
Because E[p′]=p every generation (a martingale), the long-run probability an allele eventually fixes equals its current frequency:
P(fixation of A)=pWhy this step? The expected final frequency must equal the starting frequency p; but the only possible final values are 0 and 1, so 1⋅Pfix+0⋅(1−Pfix)=p⇒Pfix=p.
Step 5 — loss of heterozygosity.
Heterozygosity H (genetic variation) decays each generation:
Ht=H0(1−2N1)tWhy this step? Each generation two random gene copies have chance 2N1 of being identical-by-descent (same parent copy), so a fraction 2N1 of variation is lost per generation. Small N ⇒ fast loss.
Why can't recovering population size restore lost diversity?
Fixation probability of a neutral allele at frequency p?
Recall Feynman: explain to a 12-year-old
Imagine a bag with 50 red and 50 blue candies — that's your whole village of genes. To make the next village, you only grab a tiny handful and copy it. If you happen to grab mostly red, the new village is mostly red — not because red is better, just luck! If you grab a super tiny handful, you might get all red and lose blue forever. A bottleneck is when a disaster kills almost everyone, leaving a tiny random handful. A founder effect is when a few candies wander off to start a new bag somewhere else. Small handfuls = big luck swings.
Dekho, genetic drift ka matlab hai — allele frequency ka chance se badalna, selection se nahi. Har generation me offspring parents ke gametes ka ek random sample hote hain. Agar population chhoti hai (N small), to sample me proportion original se kaafi alag aa sakta hai — bilkul jaise sirf 4 marble uthao to red-blue ka ratio wild ho jaata hai. Isiliye formula banta hai Var(p′)=pq/2N: N jitna chhota, variance utna bada, aur allele utni jaldi fix (frequency 1) ya lost (frequency 0) ho jaata hai.
Important baat — drift ki koi direction nahi hoti, kyunki E[p′]=p. Yaani average me frequency same rehti hai, sirf uska "wobble" badhta hai. Isliye ek accha allele bhi bad luck se gayab ho sakta hai, aur ek slightly harmful allele fix ho sakta hai. Yeh natural selection se bilkul ulta concept hai jahan fitness decide karta hai.
Bottleneck effect tab hota hai jab koi disaster (bimari, shikaar, aapda) population ko achanak bahut chhota kar de — survivors sirf ek random subset alleles carry karte hain, variation gir jaati hai. Cheetah iska best example hai. Founder effect tab, jab thode se individuals nayi jagah jaakar nayi population start karein (jaise island colonize karna, ya Amish community) — naya gene pool sirf founders ke alleles dikhata hai. Dono actually ek hi cheez hain: tiny N ki wajah se strong drift.
Yaad rakhna: population dobara badi ho jaaye tab bhi kho chuke alleles wapas nahi aate — variation sirf mutation se dheere-dheere aati hai. Numbers badhna aur diversity badhna do alag baatein hain!