SShortSingh.
Back to feed

How many casino bets before a 1% house edge becomes visible? About 40,000

0
·8 views

A 1% house edge is too small to notice in short sessions because the random swings from individual bets are far larger than the expected loss per bet. The article divides a coin-flip-style dice bet's standard deviation by its edge, finding the swing is about 98 times the cost per bet. Using a two-standard-deviation threshold, the expected loss only stands out from noise after roughly 38,000 to 40,000 bets. A binomial calculation shows that after 100 bets about 46% of players are ahead, falling to about 2% after 40,000 bets. The author notes the threshold varies with payout multiplier, and that the house benefits in aggregate because it makes all the bets across many players.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Multi-Tenant Laravel SaaS: Foundational Decisions Worth Making Early

The author presents a series aimed at helping Laravel developers avoid costly mistakes when building multi-tenant SaaS applications. They argue that key choices, such as where tenant data lives and how requests identify their company, are inexpensive to make at the start but expensive to change later. The author shares personal regret over treating the system as multi-tenant without multi-user support, which later forced a major rewrite. The series follows a fictional invoicing app where each tenant is a Company, and it focuses on design reasoning rather than packages or frameworks. It assumes a single Laravel application with a shared database and company_id columns, while deliberately excluding topics like per-tenant databases and single sign-on.

0
ProgrammingDEV Community ·

Python Functions Explained: Parameters, Arguments, Defaults, and Keyword Arguments

A developer documenting their Python learning journey walks through the fundamentals of functions. The article explains how functions are defined with the def keyword and how parameters differ from arguments. It covers positional arguments, default values that can be overridden, and keyword arguments, noting that a required parameter cannot follow one with a default value. The piece also describes the pass placeholder statement and contrasts print() with return, using a simple sum example.

0
ProgrammingDEV Community ·

InstaTools: Open-Source Tool Builds Instagram Graphics With Ready-Made Layouts, No AI

A developer has released InstaTools, an open-source tool for making Instagram graphics without relying on artificial intelligence. It offers 24 prebuilt layouts modeled on formats popular with news, entertainment, meme, and sports pages, such as breaking news cards, scoreboards, and tweet-style posts. Users pick a layout, swap in their own images and text, and export the result. Free layouts run in the browser and do not upload images during export, and an API can generate PNGs from JSON input. The creator says the project has been used for about a year across several Instagram accounts.

0
ProgrammingDEV Community ·

WildFeed builds self-aiming trail cams that learn where wildlife is active

WildFeed streams hunting and fishing live from the field, and most hours no human is controlling its pan-tilt-zoom trail cameras in South Carolina. Cameras often drift to point at the sky after wind, bumps, or manual adjustment, so the team built an automated "aim director." The first phase periodically returns idle, battery-sufficient cameras to their home position, and it never wakes a sleeping camera to conserve power. The second phase builds a heat grid from viewer and system annotations of animal sightings, weighted toward dawn and dusk, and nudges home positions toward the activity centroid while owner-set homes take precedence. The team plans soft live-follow tracking and a rollout to its other two cameras once the pilot succeeds.