[BONUS] Tony Miller on Finding Time for Game Design
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Tony Miller, attendee of double digit design conventions, discusses why it’s so important to attend design cons and what you need to take with you to get the most out of your experience.
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Gil Hova, designer of The Networks, discusses how to manage a game’s scope and not allow it to get out of hand. We also go into a good bit of detail on abstraction and how vital it is for keeping a game’s scope where it needs to be.
The post Keeping a Design from Getting out of Hand with Gil Hova appeared first on Board Game Design Lab.
Daniel Zayas, a member of the Kickstarter Expert program, discusses what the program is and how it works. He also gives some really great advice on how to run a successful Kickstarter campaign.
The post Advice from a Kickstarter Expert with Daniel Zayas appeared first on Board Game Design Lab.
(This was originally published in incomplete form. I hit “publish” instead of “save.” Lots of updates since then).
I remember playing Fugger, Welser, Medici dand realizing the basic game was too … basic. (I later relayed this to Frank and he said “it wasn’t for gamers like us, that’s what the advanced game is for.”)
High Frontier isn’t exactly the same thing. You need at least one basic game to learn the mechanics. (I needed lots). Jumping straight into the advanced game is optimistic. Even adding only the support module ridiculously increases the number of moving parts. But even for slow people such as myself the basic game does seem too basic after a few plays.
It ends just after it gets going. Industrialize a second colony, you are done (or almost). After the first few games, TaoLing and I played “longer” extended games to seven colonies, where you might get something like a claim on Sycorax, but our most recent 7 colony game took …. 40 minutes. We’ve started adding advanced modules.
The basic game is not without interest, so some thoughts.
Common planning pitfalls to avoid:
The training book’s guide is good and worth reading for your first few games. Some thoughts:
Planets are Hard. You can go for Mercury (North Pole) or Mars but you’ll need 11 thrust (or aerobraking rolls). But those are basically one way trips unless you can build a factory. For those, you’ll need a crew with a 10 Net thrust and afterburn. You could also just send down a robonaut and refinery, but the advantage of getting your first factory is basically negated because you can’t really ET produce or use the factory to refuel unless you have a powerful crew rocket. On the other hand, these can be a guaranteed second factory.
The moon is easier, but you’ll need a good ISRU.
Ceres is a sure thing with four hydration, requires only 7 thrust (usually within the reach of a basic game crew) and only a half burn. Depending on your thruster you may need to stop at Demos. Vesta is also a sure thing but slightly farther away and requires an ISRU of 2. (To compensate, its a V world, which is likely to score better and will have a few refineries that can be ET produced there).
In the basic game the most important thing is Fuel per burn, because lower means you can go farther. High thrust is nice (because that lets you land on more places, or maybe get there a turn or two earlier) but you often get around that by taking your crew and using it (assuming no lander burns, or maybe a half burn). In the advanced game the worse rockets are balanced by needing more supports, or worse rad-hardness, but in the basic game? Nope.
If you ordered thrusters by FPB in the basic game, you’d be close to right. (Ignoring the solar sails, because 0 net thrust is a problem).
Key is [#Mass, Thrust * Fuel per Burn (After Burn cost, Class), P = Push, S = Solar]. I’m not going to worry too much about the advanced (black) side because you won’t for your first games.
In rough order of worst to best:
Photon Heliogyro / Photon Kite Sail [0M, 0*0 (-,C) Solar] — Basically the same. Not really useful in the basic game (said the guy who almost never goes inside the earth orbit]. You could use these to get maybe a free burn if you are a small light ship, so perhaps I shouldn’t discount this.
Mirror Steamer [0M, 3*4(2,D) SP] — Zero mass, but 4 fpb. Ugh. The one thing that’s nice is that you could boost this with a robonaut and leave really early, take a pot shot at Demos and refuel. But the problem is that the mass savings from boosting are (in the basic game) a one time savings. You’ll be paying for fuel the rest of the game. Also, this can’t land too many places.
Ablative Plate [4M, 2*2(1,V) P] — Two fpb isn’t bad, but nothing else is great. High mass, low thrust. If you get the black side you get a mass reduction and a thrust increase, but its nothing to write home about. You’ll almost certainly need to take your crew to land anywhere. The rare case where low fpb isn’t great.
Cermet NERVA [2M, 7*4(1,S)] — OK, terrible Fuel per Burn (fpb), but the 7 thrust means you can land on Ceres or Vesta (which are sure things], but you are likely making two trips. If you can flip this you lose one thrust (but can afterburn) but your fpb drops to 2, which makes this pretty good.
Hall Effect [2M, 3*2(-,C)P] — No afterburn and a low thrust means you’ll need your crew, but otherwise good.
Mass Driver [5M, 4*3(-,M)P, Dirt] –This is heavy, 3 fpb isn’t great, but being a dirt thruster compensates. You can always grab 10 fuel anywhere (dirt rockets refuel at ten and ignores ISRU rating!) so you really only need to pay to get to Demos and then jaunt out. If you flip this over you go to 3M 2*0.5, which basically means you never run out of fuel, but you’ll need another rocket to land most places.
De Laval Nozzle [4M, 5*2(2,M)P] — Decent thrust, decent fpb. Can even land on Ceres or Vesta (often taking two trips).
Ponderomotive VASIMR [3M, 3*1(1,V)P] — Compare with the mirror steamer. You pay 3 more mass, but you save so much fpb.
Metastable Helium [5M, 5*1(1,V)] — The king of rockets. Yes, its heavy. But 1 fpb rules. If you flip it over you’ll drop some mass and your fpb goes to a ridiculous 1/3rd, but even unflipped its a workhorse in the asteroid belt. With 5 thrust (maybe 4 or 3 due to weight) you can often make a hohmann pivot every turn and gain a lot of time. And you save time by taking your robo+refinery in one trip. Letting this go cheaply is a mistake.
Buggys let you get a re-roll or multiple sites (on a planet), so that’s nice. Missiles have a built in thruster (Uusually with terrible fpb, but in this case you save an auction and a part, so you could buy this and start scooting around early to make a bunch of pot shot claims and then buy/send a refinery later). And Rayguns let you go for multiple sites from orbit. Unlike thrusters (in the basic game) there’s lots of differences between robonauts.
There are a few different ‘classses’ of robonauts:
A quick note of sites: C are common, M aren’t common, but there are a few good targets. There are many S targets but they tend to have lower hydration (often zero). V and
[#Mass, type-ISRU (Type) ]
In alphabetical order:
Cat Fusion Z-pinch Torch — 3M, Buggy-2 (D). Decent mass, decent ISRU. Turns into a higher mass ISRU 0 Missile.
Explosive Gas Dynamic Laser — 3M, Raygun-2 (S). Improves to 2M Ray-0
Flywheel Tractor — 2M, Buggy-3 (S). Improves to 1M Buggy-1.
Free Electron Laser — 5M Raygun-1 (S). Don’t let the 5 mass worry you (I mean, unless you have a 3-4 fpb thruster). If you get the Free Electron Laser you may want to go to the Karin cluster and hope to get one of Karin-a, b or c. That’s a 50/50 shot in one turn (you can raygun produce without going onto the hazard roll). If you get the claim you can ET produce this (as the Wakefield E-beam Missile with a quite decent 4*2(2) dirt rocket, but it becomes a Missile-1.
Kuck Mosquito — 1M Missile-3, 10 * 8(2) (V). The Mosquito pairs nicely with Ablative Plate or other low net thrust thruster, in that you only use this for the landing. You save weight on crew, its mass is low. If you happen to build it on a V planet, you can ET produce the Ablative Laser, which is a 3 * 1(3, push) Missile 2 with no mass. No raygun, but it can hop around quickly.
MET Steamer — 3M Missile-2 5*4(1) Push (C). This guy is a reasonable first buy. Buy, boost, fuel, go to Demos to potshot and/or refuel. By itself it can make a run at Ceres (small size for +1 thrust, afterburn for another). You’ll need another rocket to bring the refinery, but then you can ET produce the Nanobot, a zero mass Buggy-1.
Neutral Beam — 5M Raygun-2 (S). Slightly inferior to the Free Electron Laser, but this does flip over to the a 3*1/2(1) Missile.
Nuclear Drill — 2M Missile-3 5*4(1, Push) (M). Like the MET Steamer, this can be used as an early scout, planning on bring a rocket+ refinery later. This is an odd card in that the black side has a much higher mass (5), but it does become a Raygun-0 (while still having a thruster), which means you can scout a bunch of small asteroids (like the Koronis group) in one go.
Phase-Locked Diode Laser — 3M Raygun-3 (C). A very good robonaut, because there are lots of C targets, and it flips over to 0M.
Rock Splitter — 3M Buggy-4 (V). Buggy is good, but ‘4’ is bad. You could claim 2 Mars sites, I suppose. But there has to be a worst robonaut.
Solar-pumped MHD Exciplex Laser — 5M Raygun-2 (C). Doesn’t the name just roll off the tongue and fall like lead to the floor? This is another one of the 5M rayguns, and this one flips over (Quantum Cascade Laser) to a 3 mass ray-0. Ray-0 is great, and as a ‘c’ type card, this is the easiest to get.
Tungsten Resistojet — 2M 5*4(1) Missile-3 (M). Another decent “early thruster explorer.”. This flips over to a decent 4*2(1) Push missile-1.
In the basic game, basically you just want to get one. If it matches your target, that’s nice. Mass 3 is nicer than mass four, but unless you have a bad fpb its not a huge deal.
Gabe Barrett, founder of the BGDL, discusses why this hobby of ours matters and why game design is much more than just a fun, little activity. He also shares some stories that relate to design and talks about where the BGDL is headed in the future.
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Mike Mihealsick, from Coalition Games, discusses all the lessons and insights he’s learned after facilitating hundreds of blind playtests. Blind playtesting is the purifying fire in which we truly get to find out what our games are made of, and Mike offers a ton of advice on how to navigate the process well.
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Chris Kirkman, designer of Fate of the Elder Gods, discusses Cthulhu themed games and what makes them so popular. There’s just something about Cthulhu that continues to intrigue people, and even with all the Cthulhu games that have come out, there’s still a great deal left to be explored.
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Morten Pedersen, designer behind the solo modes for games such as Scythe and Viticulture, discusses how to scale a game down to one player and create a great solo experience.
Morten has his own design company that focuses on creating single player systems for games and has even won awards for it. For more, check out Morten’s blog here.
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Patrick Leder, designer of Vast, discusses what all goes into designing an asymmetrical game. In Vast, each player takes on an incredibly different role with different actions, different win conditions, and different ways to play. And creating a game of this scope is no small task.
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They’ve just released 0.15 (up to 0.15.2 for some bugfixes). I’m sitting here waiting impatiently for it to download. Nuclear power, rebalanced combat, a ‘marathon’ mode (critical items take a lot more materials to build), and prebuilt settings for various styles of play….
It is a sign of good sportsmanship on my part that I didn’t skip gaming to download it yesterday (when it released), but that’s only because I’d promised that I’d teach High Frontier.
Update — It’s slower going (7 types of science instead of 4 — and purple science is no longer “stuff you get for free by killing natives”). I’ve got a horrible spaghetti maze because I haven’t been looking ahead. I should probably punt, but my goal is to use this base as a starting point for a big base, so its ok. But I do like many things:
I need to get logistics bots for this factory. It’s not pretty. Gotta find a new copper patch, too. Have basically run out.
Epistemic status : high confidence in the meta level slightly lower in the toy level and low in the object level
Secret information in this context means information known to one player (or party) that is NOT known by the other player (or party).
Large amount of economic behavior such as signaling can be thought of as secret information. In this context the secret information can be thought of as a skill such as ability to do math. The owner of the secret information (often known as the agent) uses this information and try’s to show the principle that they posses the quality, through costly signals. (if the signal were not costly everybody would do it therefore it would cease to be a good signal).
Secret information in board games
Board games use secret information all the time,it’s a great way for the game designer to introduce randomness while not sacrificing agency of the players. Take for example the game poker. Texas hold’em gives players 2 hole cards, these hole cards are hidden from the other players. The fact that you know that they DON’t know what your hole cards are has profound impact on gameplay. a player can see themselves as the guy who 3bet rather than as the guy with pocket aces. The secret information in this case is what I refer to as randomly assigned information. With this sort of information, the player can inform their decision to maximise the information asymetry present, and also try to deduce the information that the other players have. This deduction as one may notice from that video is about narrowing the possibility space to determine what isn’t possible. in a game like chess the possibility space of what has happened in the past is already determined. So such deduction about what previously happened is unecessary. The difference is that in a game like poker, the web of gameplay has impact on what the current game state actually is. For example, there is a big difference between starting 100BB deep, and 3 betting for 6 BB (making a total of 12BB in pot) and then betting half pot on a J46 rainbow and getting called, compared to calling a 4x raise and then potting on a J46 Rainbow and getting called, even though at the end there is the same amount of money in the pot and the same cards have shown up. The web of previous actions is connected to the web of actions after.
Utilizing Secret information (in board games)
When a player is dealt secret information that secret information should dictate their play. When playing magic a common play is to bluff attack with a 2/2 into a 4/4 with the assumption that you have Giant Growth in hand, if you do have giant growth then your opponent suffers greatly, but if you get your bluff attack called they will eat your 2/2 with no compensation. So how can a player get their 2/2’s blocked when they have giant growth but not get them blocked when they don’t? Well they can’t, but a player can employ universe assesment (blogpost to be made later) you attack in the situation where if your attack get’s blocked you were going to lose the game anyway, or you had little chance. And you non-bluff attack in the situation where you have giant growth. Notably one does NOT bluff attack in the situation where the game is slightly favorable but they will fall behind if their bluff get’s called, because in that situation the bluff value is low. Notably they aren’t “soul reading” their opponent, you are looking at the current gamestate and determining “does the value in bluffing outweigh the downsides of when bluffs get called? The answer can often be “no” but is also frequently “yes”.
It is also of note that if you are on the reciving end of a bluff attack, one should consider the state of their hand. examples of such reasoning follow
“my hand sucks, I won’t beat him if he has giant growth anyway, but if he doesn’t have giant growth then the edge I gain from blocking the bluff attack is large especially if his hand is garbage as well, then I actually may steal a win from a game that actually is even”
“my hand and deck are awesome in this spot, I can’t lose unless I make a bad block in this spot if I don’t block I lose nothing, but if I do block I could lose the game”
“My hand is ok, if his hand is the type of hand that would bluff attack, then either his hand is attrocious (and wouldn’t win anyway, he’s just making this attack to cover the spots when he has giant growth) or his hand is medium but he has a bad lategame and needs to push through a good amount of extra damage. his hand could be a giant growth hand with a useless land and a 2 drop, which I do beat if I cast my next spell but I don’t beat if I block, if he has a good hand and a giant growth I lose no matter what, so may as well ignore that possibility…”
The last example while complicated should illustrate how complex the decision making can get when you introduce uncertainty and secret information. Players use their own secret information to make the decision and base their decisions on the information they have rather as well as elimination of possible universes from the opponents possibility space.
Using secret information in real life.
In real life we can use secret information in a number of ways, we can take the same principle from board games that our actions reveal information about the information we have. Signaling in economics is when a person makes a decision that reveals information about the type of person they are. You can use signaling to show for example if you are a person with high IQ, by going to App academy or college straight out of high school.
We can also do the reverse, take signals given to us from other’s sets of information about them and use those signals to guide our behavior. The secret information of somebody’s skill as an engineer is important information to obtain. One could hunt for engineers by offering high compensation to those who are willing to take a 1 month trial run where an employer determines the employee’s productivity. Those productive engineers would be delighted to take such an opportunity, but lower quality ones would certainly consider such trial runs to not turn out well. As such only engineers above a certain caliber would even bother showing up.
In situations where competition is zero sum (or nearly so) one can use the lines of reasoning in the magic the gathering examples, go over what the other side Doesn’t have given their previous actions, and go over what you don’t have given your previous actions. Iteration over this process may help leading to understanding what is and isn’t going to happen.
Thank’s for reading my first blog post, I hope this post was useful to you, comment on my blog about what I could do better. Seriously just comment any comment at all no matter what it talks about would be extremely useful to me for future posting.

Epistemic status : high confidence in the meta level slightly lower in the toy level and low in the object level
Secret information in this context means information known to one player (or party) that is NOT known by the other player (or party).
Large amount of economic behavior such as signaling can be thought of as secret information. In this context the secret information can be thought of as a skill such as ability to do math. The owner of the secret information (often known as the agent) uses this information and try’s to show the principle that they posses the quality, through costly signals. (if the signal were not costly everybody would do it therefore it would cease to be a good signal).
Secret information in board games
Board games use secret information all the time,it’s a great way for the game designer to introduce randomness while not sacrificing agency of the players. Take for example the game poker. Texas hold’em gives players 2 hole cards, these hole cards are hidden from the other players. The fact that you know that they DON’t know what your hole cards are has profound impact on gameplay. a player can see themselves as the guy who 3bet rather than as the guy with pocket aces. The secret information in this case is what I refer to as randomly assigned information. With this sort of information, the player can inform their decision to maximise the information asymetry present, and also try to deduce the information that the other players have. This deduction as one may notice from that video is about narrowing the possibility space to determine what isn’t possible. in a game like chess the possibility space of what has happened in the past is already determined. So such deduction about what previously happened is unecessary. The difference is that in a game like poker, the web of gameplay has impact on what the current game state actually is. For example, there is a big difference between starting 100BB deep, and 3 betting for 6 BB (making a total of 12BB in pot) and then betting half pot on a J46 rainbow and getting called, compared to calling a 4x raise and then potting on a J46 Rainbow and getting called, even though at the end there is the same amount of money in the pot and the same cards have shown up. The web of previous actions is connected to the web of actions after.
Utilizing Secret information (in board games)
When a player is dealt secret information that secret information should dictate their play. When playing magic a common play is to bluff attack with a 2/2 into a 4/4 with the assumption that you have Giant Growth in hand, if you do have giant growth then your opponent suffers greatly, but if you get your bluff attack called they will eat your 2/2 with no compensation. So how can a player get their 2/2’s blocked when they have giant growth but not get them blocked when they don’t? Well they can’t, but a player can employ universe assesment (blogpost to be made later) you attack in the situation where if your attack get’s blocked you were going to lose the game anyway, or you had little chance. And you non-bluff attack in the situation where you have giant growth. Notably one does NOT bluff attack in the situation where the game is slightly favorable but they will fall behind if their bluff get’s called, because in that situation the bluff value is low. Notably they aren’t “soul reading” their opponent, you are looking at the current gamestate and determining “does the value in bluffing outweigh the downsides of when bluffs get called? The answer can often be “no” but is also frequently “yes”.
It is also of note that if you are on the reciving end of a bluff attack, one should consider the state of their hand. examples of such reasoning follow
“my hand sucks, I won’t beat him if he has giant growth anyway, but if he doesn’t have giant growth then the edge I gain from blocking the bluff attack is large especially if his hand is garbage as well, then I actually may steal a win from a game that actually is even”
“my hand and deck are awesome in this spot, I can’t lose unless I make a bad block in this spot if I don’t block I lose nothing, but if I do block I could lose the game”
“My hand is ok, if his hand is the type of hand that would bluff attack, then either his hand is attrocious (and wouldn’t win anyway, he’s just making this attack to cover the spots when he has giant growth) or his hand is medium but he has a bad lategame and needs to push through a good amount of extra damage. his hand could be a giant growth hand with a useless land and a 2 drop, which I do beat if I cast my next spell but I don’t beat if I block, if he has a good hand and a giant growth I lose no matter what, so may as well ignore that possibility…”
The last example while complicated should illustrate how complex the decision making can get when you introduce uncertainty and secret information. Players use their own secret information to make the decision and base their decisions on the information they have rather as well as elimination of possible universes from the opponents possibility space.
Using secret information in real life.
In real life we can use secret information in a number of ways, we can take the same principle from board games that our actions reveal information about the information we have. Signaling in economics is when a person makes a decision that reveals information about the type of person they are. You can use signaling to show for example if you are a person with high IQ, by going to App academy or college straight out of high school.
We can also do the reverse, take signals given to us from other’s sets of information about them and use those signals to guide our behavior. The secret information of somebody’s skill as an engineer is important information to obtain. One could hunt for engineers by offering high compensation to those who are willing to take a 1 month trial run where an employer determines the employee’s productivity. Those productive engineers would be delighted to take such an opportunity, but lower quality ones would certainly consider such trial runs to not turn out well. As such only engineers above a certain caliber would even bother showing up.
In situations where competition is zero sum (or nearly so) one can use the lines of reasoning in the magic the gathering examples, go over what the other side Doesn’t have given their previous actions, and go over what you don’t have given your previous actions. Iteration over this process may help leading to understanding what is and isn’t going to happen.
Thank’s for reading my first blog post, I hope this post was useful to you, comment on my blog about what I could do better. Seriously just comment any comment at all no matter what it talks about would be extremely useful to me for future posting.
