From jury duty to tax audits, randomness plays a big role. Scientists used quantum physics to build a system that ensures those number draws can’t be gamed.

A daily random number game. Roll your number, collect badges, and compete with friends.

.NET’s Random type has been a popular choice for generating random numbers. However, using RandomNumberGenerator for this purpose can result in a six-fold performance improvement, as shown in…

.NET’s Random type has been a popular choice for generating random numbers. However, using RandomNumberGenerator for this purpose can result in a six-fold performance improvement, as shown in…

The .NET Random type generates random numbers effectively, but using RandomNumberGenerator is significantly more efficient, offering a 7.08× speed increase. Both methods allocate equal memory; howe…

Researchers develop a device that converts electrical signals generated by light–matter interactions into true random numbers to authenticate images SEOUL, South Korea, July 13, 2026 /PRNewswire/ — Developing secure hardware capable of generating truly random numbers is becoming increasingly important as artificial intelligence-generated forgeries and cyber threats grow more sophisticated. Now, researchers have developed a light-driven true random number generator and demonstrated how these numbers can be embedded into images as hidden security signatures to detect tampering. The device could be integrated into image sensors, enabling hardware-based detection of image modifications. While security systems based on pseudo-random number generators (PRNGs) […]

In this video I show two optimizations I added recently to the game; one involves returning to Godot's internal RNG instead of the custom GDscript one I made (it was rather slow) and another is about pre-splitting level data to speed up the loading time. Don't hesitate to comment asking questions about the project, game design or programming, or suggesting ideas. If you like what I do, you can support me in several ways: - Patreon: https://www.patreon.com/puzzlinggamedev - Ko-fi: https://ko-fi.com/marcosd - Visit my page on itch and try my free games, purchase my paid games and/or donate: https://marcosd.itch.io/ - I also have some of those games on Steam: https://store.steampowered.com/search/?developer=Marcos%20Donnantuoni

You are creating a new random number generator each loop, using `randomize()` on the global RNG, these two things are strange but shouldn’t affect the odds. It may be better to create only one RandomNumberGenerator or use the global `randi_range`, without calling `randomize()` so often. Pure random is exactly that, in your small sample size you may never see certain cards, in fact it’s quite likely; you are just lucky!

I’ll try this extends TileMapLayer @export var grid_width: int = 20 @export var grid_height: int = 12 @export var tile_set_source_id: int = 0 # The ID of the tile source in your TileSet static var TILE_TYPE_STRAIGHT_HORIZONTAL: Vector2i = Vector2i(1, 0) var random: RandomNumberGenerator = RandomNumberGenerator.new() func _ready(): generate_random_path() func generate_random_path(): var random_y: int = random.randi() % grid_height var start_point: Vector2i = Vector2i(-1, random_y) # Using TileMap grid coordinates while start_point.x < grid_width + 1: print("start_point: ", start_point) # Corrected set_cell usage set_cell(start_point.x, start_point.y, tile_set_source_id, TILE_TYPE_STRAIGHT_HORIZONTAL) start_point = Vector2i(start_point.x + 1, start_point.y)

Shameless self plug but I made an EZ-RNG asset lib entry and under the hood of it this implementation works: var ezrng: RandomNumberGenerator = RandomNumberGenerator.new() func gen_weighted(count: int, weights: PackedFloat32Array) -> Array[int]: var arr_int: Array[int] = [] for c in count: arr_int.append(ezrng.rand_weighted(weights)) return arr_int As an example: ## Specify an array of things you want to be picked with favorability var favorite_snacks: Array[String] = ["apple", "cookie", "ice cream"] ## Specify the weights, or, favorability of these things in the same order ## e.g. I like cookies twice as much as apples, and ice cream twice as much as cookies var snack_weights: PackedFloat32Array = [0.5, 1.0, 2.0] ## Let's say I want to buy snacks for the next two weeks, eating one per day ## This means we want 14 random values to be generated to then align with the snack indices var weight_results: Array[int] = EZRNG.gen_weighted(14, snack_weights) ## The weight_results array will favor ice cream but still pick apples and cookies ## Now we combine the weight_results and favorite_snacks to see what to buy var snack_purchase: Array[String] = [] for result in weight_results: snack_purchase.append(favorite_snacks[result]) In short, rand_weighted() doesn’t work as directly as you may be trying to use it. If you happen to have a fresh HTML5 export, do you have a link to the latest version of your project files? In my forums profile I have an article of server-less HTML5 export hosting I could try to replicate. Also for your print(result) test above, you’re not statically typing it, can you also print the typeof() of result? When you say print(result) returns null, is nothing being printed to the F12 console when running the Debug version of your export? Or is it printing the word null? What is your RandomNumberGenerator.new() setup and are you calling randomize() anywhere? Sources: AssetLib Entry GitHub Repo