1000 object community

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#1 22 March, 2013 - 23:26
Joined: 4 years 1 month ago

1000 object community

Here, you can post what combination of numbers from 000-999 has been hard to fill out for you. I have almost 850 filled in; the rest of them are probably problematic for the majority of people. Everything I am missing is posted below, so if you have any others giving you problems that are not on this list, be sure to post them and I'll reply with my images. Almost all of them adhere perfectly to the major system.
So even if your images to the following are idiosyncratic, please post as many as you are willing to if they vaguely resemble the major system.





659.661.662.663.664.665.667.668.669. finally,671-699

22 March, 2013 - 23:38
Joined: 1 year 10 months ago

Are you building the images with three consonants?
I have images for a lot of those, but I assign slightly different sounds than the standard major system, and the middle digit is a vowel.

23 March, 2013 - 00:46
Joined: 4 years 1 month ago

Yes, I am using three consonants for these. But since I will possibly eventually set up a Ben System, I could sure use the practice of getting used to using a middle digit sound early so it won't be so awkward later. Would be great if you shared!

23 March, 2013 - 01:52
Joined: 1 year 10 months ago

My consonant assignments are:
0 = s/z
1 = t (not "d")
2 = n
3 = m
4 = r (sometimes "th" at the end of 3-digit numbers)
5 = L
6 = b
7 = k
8 = f/v
9 = P (not "b")

Vowels are:
0 = O as in "boat"
1 = I as in "beet"
2 = u as in "two"
3 = aa as in "cat"
4 = a as in "father"
5 = ai as in "five"
6 = ih as in "six"
7 = e as in "seven"
8 = ei as in "eight"
9 = uh as in "lullaby" (or similar)

I always write my syllables the same way, since they are sounds, not letters, and all in caps. The syllables are usable for memorizing words too.

453 - RAIM -- rhyme - Mother Goose
457 - RAIK - Riker from Star Trek
459 - RAIP - ripe banana
462 - RIHN - ring from LOTR
463 - RIHM - rim of basketball hoop
465 - RIHL - k'rill (I drop the first letter of krill)
466 - RIHB - ribs (food)
467 - RIHK - Rick from Casablanca
468 - RIHF - riff - Jimmy Page
469 - RIHP - Jack the Ripper
487 - REIK - rake
489 - REIP - Tom Raper's RVs (from a giant billboard driving cross country)
253 - NAIM - Naomi Campbell
258 - NAIF - knife
267 - NIHK - Nick Nolte
278 - NEF - Neverland - Tinkerbell
283 - NEIM - name tag
284 - NEITH - Nathan Milstein (violinist)... this is one of the places where 4 becomes "th" on a final digit
289 - NEIP - nape peircing
293 - NUHM - number square (like the one at Sagrada Familia)

That's the basic idea... not sure how useful it will be though, since it doesn't exactly match Ben's system or the Major System. :)

That is the pre-category system.

My 2-digit system is similar, but consonant-vowel. E.g., 88 = VEI = veiled chameleon.

23 March, 2013 - 05:54
Joined: 4 years 1 month ago

Thank you.

Seeing those images, I can tell now that it would be one hell of a trick to use the major system for 4/5 of your words and the Ben system for the rest if they are mixed within groups of 100. But using the Ben system phonemes for every (and only) 200-299 and 600-699 could work.

23 March, 2013 - 06:30
Joined: 5 years 2 months ago

DoubleHelix wrote:

But using the Ben system phonemes for every (and only) 200-299 and 600-699 could work.

It would probably be better using the Ben system for all the images but not if you have already invested heavily in the Major system.
I have slowly constructed a 1,000 list and like Josh I use a modified form of the Ben system, although I display my vowels in a different way with capitals being the long form of the vowel. I’m sure you will be able to figure it out.
I assume you use the letter n for 2 so I have listed my 200‘s with some alternatives. I hope it helps. I am following your progress with interest.
The “n list “ is reasonably difficult to fill but I picked up a trick from watching a Ben video where he used “an eagle” for NEG. I use the same idea for a number of my images.
Good luck with your 1,000 list.

NUD 200 nudist
NUT 201 Newton, Newt
NUN 202 noon, Noonan
NUM 203 Newman
NUK 204 Newcombe, nuclear
NUS 205 noose, newspaper
NUG 206 nougat
NUL 207 annuals
NUB 208 Nubean
NUP 209 newpence, Newport
NaD 210 Nadal, Nadia, an adder
NaT 211 Natalie, Nat King Cole, gnat
NaN 212 Nan, Nancy
NaM 213 Namatjira, an ambulance
NaK 214 Anakin an actor, anaconda, Anna Kournikova
NaS 215 NASA an astronaut
NaG 216 nag
NaL 217 Allen key mcNALty,
NaB 218 Nabbie
NaP 219 napkin, Napolean

NeD 220 Ned Kelly
NeT 221 net, Annette
NeN 222 an ent
NeM 223 an emperor, anemone
NeK 224 necklace
NeS 225 Nessie, nest
NeG 226 negligee
NeL 227 Nelson
NeB 228 nebula
NeP 229 Neptune

NiD 230 EnidBlyton, idiot savant/box
NiT 231 knitting, nits
NiN 232 ninja, Nintendo
NiM 233 Nimoy nymph
NiK 234 Nicklaus, Nick, nickel
NiS 235 Nissen hut, Nissan
NiG 236 an igloo, enigma machine
NiL 237 Nilsson
NiB 238 nib
NiP 239 nippers, nipplering

NoD 240 Noddy
NoT 241 knot, Knott
NoN 242 nonna
NoM 243 an omelette
NoK 244 knocker, Nokia, gnocci, Enoch
NoS 245 Nosferatu, Nostradamus
NoG 246 Noggin the Nog
NoL 247 Nolte, knoll
NoB 248 knob
NoP 249 an operation, an opera singer

NuD 250 nuddy, an udder
NuT 251 nut
NuN 252 nun
NuM 253 an umpire, an umbrella
NuK 254 Nucky Thompson
NuS 255 nuzzle
NuG 256 nugget
NuL 257 Nullarbor,
NuB 258 nub
NuP 259 nuptials (cake cutting)

NAD 260 Nader, an aid
NAT 261 Nate, NATO, 8 ball
NAN 262 anus
NAM 263 nameplate, Naomi Campbell
NAK 264 naked portrait, an acorn
NAS 265 nasal spray
NAG 266 Nagle, agar dish
NAL 267 Naylor, nail
NAB 268 Nabors, Neighbours
NAP 269 napalm, an apron

NED 270 needle
NET 271 Anita, Neta
NEN 272 Nina
NEM 273 Nemo, an emu
NEK 274 kneecap, an eclipse
NES 275 knees niece easel
NEG 276 Negus, an eagle
NEL 277 Neil, kneeling, an eel
NEB 278 Kneebone
NEP 279 kneepad

NID 280 an idol, an eyedropper
NIT 281 knight, nitroglycerine
NIN 282 niner, nine pins
NIM 283 an iMac
NIK 284 Nike
NIS 285 Nisus, an ice block
NIG 286 Niagara
NIL 287 Nile, nylons
NIB 288 ibis, eyeball
NIP 289 NYPD, iPad

NOD 290 node, anode
NOT 291 note, notebook
NON 292 Noni, Winona
NOM 293 gnome, nomad, gnomon
NOK 294 oak
NOS 295 nosering, Pinocchio
NOG 296 ogre
NOL 297 Noel , Nola, Nolan
NOB 298 oboe, nobility, Nobel prize
NOP 299 opal

Any suggestions to add to or improve the list will be gratefully appreciated.

24 March, 2013 - 00:09
Joined: 4 years 1 month ago

Whoa, nice post!

Unfortunately, that list is way to good for me to want to split up. I have 83 "n" words from the major system, and only one of them is on your list: napkin. Amazing.

Edit: But somehow, it gave me enough ideas to finish up the 200-299! Some are kind of sloppy, but I'll take it!
Edit: Also just finished up the 300-399 and 700-799 and nearly all the 400s. I'm going to get some sleep for now, but soonI'll post my images for the 200s, 700s, and 300s I had listed above.
Edit/: it shall be done; Im exhausted.

Even if just one person in the world posted their Ben system, think of what would follow. Do ya'll find it odd that this has not happened? We should really badger those five people who use it.

Oh, and since the 600s are hard, consider this an opportunity to learn a little German. Deutsch ist auf easiest of the languages for an English speaker! Many diphthongs.

24 March, 2013 - 08:41
Joined: 4 years 10 months ago

Hi DoubleHelix,

It's been awhile since I've posted on this site, but I noticed you were interested in starting the Ben System. I've developed my images for my Ben System over the past year or so, and I'd say that it is worth the effort if you want to cut down your time. Albeit, it's a commitment. Below is post, which I discuss how you can overlap both cards and numbers with the Ben System. I've studied memory systems over the past four years, so I'm sure I could provide you some valuable info in developing your system.




24 March, 2013 - 16:07
Joined: 1 year 10 months ago

DoubleHelix wrote:

Oh, and since the 600s are hard, consider this an opportunity to learn a little German. Deutsch ist auf easiest of the languages for an English speaker! Many diphthongs.

Good idea to use German words. I used words from about seven languages in my images (with dictionaries), but I don't think there are any German words in my system since I didn't know how to pronounce German back then.

24 March, 2013 - 22:49
Joined: 4 years 1 month ago

Thanks for the link, London. For now I just want the first half of the system so I can do something other than PAO for cards that could also be used in multi-deck (so not 52/52). The future beyond that is muddy.

31 May, 2013 - 00:48
Joined: 3 years 7 months ago

Where can we see your lists?

are they Creative Common, so I could use them in a piece of software?

5 June, 2013 - 02:59
Joined: 4 years 1 month ago

I had forgotten about this thread...

Maybe I can shed some light on why this thread, and others like it, have died.

Before you have a 3-digit system, it appears that the main challenge to surmount in order to use a 1000-object system is to come up with 1000 objects that you like that fit cleanly into the system of your choice. With 1-card systems, and 2-digit object systems, this is true, With 1000+ object systems, the challenge is a little bit different. It is about really really knowing and loving your images, so that they can be slapped down at a similar speed as would be done with a smaller system, with no added difficulty to memorization, so that little extra distance can be squeezed out of the method.

I would contest that this latter objective, completely apart from the naming of the objects, is more than 95% of the actual challenge to be surmounted. It also takes far more time. If you had all 1000 objects handed to you, there would be nothing you could do with any efficiency until you had grokked each and every last one. The reason people to type out their 1000 object systems, or Ben Systems, is because it isn't worth the effort for either party. Some of the best images I have came from when I was first trying to play with the digits, after they had all been named, but only some had been memorized. 774 would pop up, and I would think "Kakarot," which wasn't my initial image, so I would shake my head, go back to my list, and say "Ok, Lance, next time you see 774, think *cougar*."

"Kakarot." "No."
"Kakarot." "No."

Eventually, I gave up on cougar, which is the right thing to do in that situation.

The amount of time it will take you to REALLY know each your images is a lot longer than it will take to merely name them. So by using someone else's list, you wouldn't actually be saving any time, and may even supplant personal, potentially creative, solutions with manufactured ones.

Take a look at those Ben System 200-299 above and try to understand what I mean.

8 January, 2014 - 02:18
Joined: 4 years 1 month ago

I completely forgot that I made this thread. I remember now making a promise to help others that I did not keep.

I am now willing and able to help, but here's a quick tangent first if you will allow it:

If you want to use the Ben System, I can't help you. But there are a couple options. One is my 2-card system called the Shadow System, (Come on guys, that's marketable and you know it). I don't know if it's better than Ben's. At first I was convinced of the advantages, but now I see that it is high-maintenance. I broke the 35 second barrier with cards after about six months, but a score like that is far from typical. Ola is better than me at every event, usually by a huge margin, and using the Ben System, it took him a year to meet his old PAO PB of 1:02 that he had already set when he switched to the Ben System, and using SS, I memorized a deck in almost half the time, (34.8 seconds) in almost half the time (just over 6 months) Ben himself improved to my level relatively quickly with the Ben System. The difference between he and me is that he just kept getting better. Anyway, if you want to be one of the 10 fastest card memorizers in the world, you're going to have to pick a 2-card system eventually.

But the 2-card system I recommend to you all isn't Ben's, and it isn't mine. It's a very slight modification of Johannes Mallow's. I only modified it because I can't figure out exactly how he covers 2704 combinations with only 1000 images. I don't get it. So it uses 1352 objects instead of 1000. Anyway, one advantage of adopting this system is that if you use it now and choose to adopt SS later, you're well over half way there as far as the image-naming is concerned. One other advantage is that you can break a minute with it in only a few months. You could do that with PAO also, but if you can get sub-0:40 decks with PAO, you'll be one of the only people who ever have been able to do that with consistency.

Make 1352 objects and have a pair that begins with a red card to match every pair that begins with a black card. Club/Diamond is the same image as Diamond/Club.

Version 1: When you memorize a deck, keep linking cards that begin with a red suit in one locus until you get to an image with a black card first. Memorize that one in the following loci and keep linking black-first images until you get to a red-first card. Move to the next locus and repeat. During recall, you can use the first card of the last image you memorized and review back through the loci, differentiating which version of the image you used by whether it was in a "red-first" or "black-first" locus.

Version 2: Pick either red-first or black-first. From now on, that type of image will be the last image in every locus. Let's say that you pick red-first as your 'locus-ender.' Keep linking red-first images in a locus until you get a black-first image. Stick the black-first image at the end of the locus and move on to the next one. If you get another black-first image, it will be the ONLY image in the next locus. Put it in there and move on. The problem with version two is that it provides no context for whether the last image was red or black. So if you forget that, you'll be screwed 50% of the time.

To fill out 1352 images, use the SS codification of the major system if you don't want to learn a new phonetic system. Trust me, it works just fine.

The point of all of this is that I will help anyone with the drive to make a 1000 object list because I want to see more of them. And if you do make a 1000 object list, you should make a 2-card system I think.

By the way, Mallow's method averages out to 12-13 loci per deck and almost always falls between 9-16 loci.

Everyone will tell you that you should come up with your own images when making an object list. But some number combinations are just a pain. So if you're reluctant to make a 1000 object list on account of spending an inordinate amount of time on a small percentage of images, I will be here to fill in the gaps you post.

My only request is that you do not post a list of a whole bunch of numbers in a row. It suggests that you haven't spent enough time trying to come up with original images for those numbers, which I was guilty of when I made this thread. Use too many of my images and you're cheating yourself.

Plus, my images are in my noggin, and I don't want to type them all out.

One word of advice: cheat sometimes. For really hard ones, just cheat. You're going to review these a bunch of times - it's not like you're going to forget what the image is over and over and over. If there are two digits in a row, and you don't like that, just cheat. For me 233 is "Gnome," a garden gnome. Wasn't that easy? 223 is "Anenome." The actual animal is called an "anemone," but that word is so weird anyway that I just started to pronounce it wrong and it's just as good as any other image I have. Better than some. 565 is "Leechal" It's just a leech, but it was easier to imagine that the word was "Leechal." Easy, right?

K, so if you're honestly building a list and you have some numbers that you're stuck on, just let me know by posting them here. But you might find that you don't like them, because I have cheated on many of the tricky ones... I'll try to remember to do one other thing, too, over time. This is my 595th post, so I'll post my image and another option or two that I have considered:

595 = Label (labelgun/labelmaker)

8 March, 2014 - 12:03
Joined: 4 years 1 month ago

Just dropping a link to Bateman's blog here for people who find this thread in the future :)


I just noticed that I had made this thread 50 weeks ago...I started making that list 360 days ago, but it seems so recent.

12 March, 2014 - 08:46
Joined: 5 years 1 week ago

LociInTheSky wrote:

Here, you can post what combination of numbers from 000-999 has been hard to fill out for you. I have almost 850 filled in; the rest of them are probably problematic for the majority of people. Everything I am missing is posted below, so if you have any others giving you problems that are not on this list, be sure to post them and I'll reply with my images. Almost all of them adhere perfectly to the major system.
So even if your images to the following are idiosyncratic, please post as many as you are willing to if they vaguely resemble the major system.

Hi, here is my full answer to Lociln The Sky. I know, it has been a while since the question was asked but this answer may help others. If anyone wants my full 1000, I'd give that too.

453 Rolling lime, Harlem Globe trotters

.457 relic of berlin wall
.459 Loopy ear ring

.462 razor machine (urgent sticker)
.463 Horse Gym
.465.hair Gel

466.Chouchou railway

467 Artichoke
.468 Chef's Refrigerator
.469 Recording Chip

.487 fog raincoat.

489.Fabulous Road runner (meep-meep)

253 Lame nutcracker
.258 in love engrave (on tree)
.267 no-frills jack
.278 natural cave stalagmite
.283 fame :Einstein
.284 fire engine
.289 fabulous Santa
.293 Intersection Bum
.296 Beach Sunscreen
.298 Peeve Insect
.219 needle tip (for pin board)
.223 venimous snake
.225 narcotic inhalation
.228 infantry knife
.229. Nab snake, non-venomous

237wanted mug
.244.rower's anchor

381 fat swimmer
.383mix foam (hair washing)
.387 fog umbrella

.388 fifi smile (Fifi a mischievous girl that cheers me so the smile logo)
.393 main beam a house under construction beam only stage
.398 pavement making sidewalk making preparation
.362 Machine Madvac, road vacuum
.363.Gym Mass

761 Gadget spring bike seat
764,catcher (that's not really a though one for baseball lovers)
766 chouchou coke (bbq charcoal)
,772, Christmas Cane
793 Bum's cardboard

802 vicinity phone booth
,803 Homo females
,805 fossil
,806 physician
,807 viscous substance, or water heater
,808 save vault
,812 vanity tan lamp
,814 feather
,815 vital water gourd
,816 touch Velcro
,834 femur
,835 female underwear
,836 flood damage wood frame stand
,838 moving van
855 lowly floor wood floor strips
,871 fact marker
,873 football game ball (the oblong ball, not soccer)
,877 Kick a furnace
,878coffe filter
,882 vertical vine
,883 fame Van Hallen's belt
,886 flying fish
,889,fab Fanfreluche (tv character)
891 flower pot
,892 frying pan
,893 Photo album
,897 bike frame
,898 peeve flood light
,899 effervescent pop

606. siege chariot
607 shrink sack
.608 sofa chesterfield
613.generous dime
615. Shuttle (space)
616 Shallow ditch.
622 jet canon (my image is a child ride in a mall)
.623 numb jaws from the movie Jaws
.626 change room
.628 jungle knife
.629 chew nibs
.631 mud jam (wheel spinning)
.633 chubby mom (pregnant)
.634 Mayor's chamber (city hall Toronto)
.635.male jock with small weights
636. show homage
637 Jamaica papaya
.638 movie jock small flash light
.644 rare gene (double helix, no not you)
.645 cheerleader
.647 shark
.648 sheriff
.651 shield of motorbike
.652.balloon ship
653. juggling Lama
656. shut eyelash
659. giant globe
661 Chasing Cheetah
.662 jack hammer machine
.663.Gym jockstrap
664. Jammed Jar
665 shinny Jell-O
.667.Chic Chandelier
668 Achieve shorthand, a steno
.669 Chop chard
. finally,671 Jacket
-699 chief pope

13 March, 2014 - 00:04
Joined: 4 years 1 month ago

Thank you, Simon! I did finish that list about a year ago :D but I know that those number combinations can be very tricky for anyone who's starting to build a list.

17 March, 2014 - 14:18
Joined: 3 years 2 months ago

Simon, could you post your whole 1000 object list?

17 March, 2014 - 16:10
Joined: 5 years 1 week ago

Hi Bateman,

Here it is. Thanks for asking.

It isn't a particularly good list as it is "only" my first 1000 of several thousands.
If wanted to rebuild a single list of 1000 objects using the best of what I've got, it would be somewhat better. If you are not sure what image I have in mind by reading this list, then I may or may not want to explain it. Some images, such as Fanfreluche and Bobino will most likely mean nothing to most people here and it would not be a good idea for you to use those images. I'm just putting up my list as a sample of an edited 1000 images.
By edited I mean that there are no repeats of images under a slightly different handle.
Again, I have memorized all this by putting all these images on grids #s which I imagine on walls of specific loci as I've explained in my Less L. thread. However, I've recently slightly altered this posting method and updated this in one of my last post on the Less L. thread.

0 sauya sause
1. tie
2. noah
3. mah
4. rye
5. ale
6. shoe
7. cow
8. Ivy
9. Bee
10. Toes
11. Statue Liberty
12. Tuna
13. Time watch
14. Tire swing
15. Towel
16. Dish
17. Tack
18. Tofy
19. Tub
20. Nose
21. Net
22. Nun
23. Name tag
24. Nowhere island
25. Nail
26. Snatch zipper
27. Neck display
28. Knife (steak Knife)
29. Nob
30. Mouse
31. Mat
32. Semen
33. Mommy (sarcophagus)
34. Mower
35. Mule
36. Match
37. Mug
38. Movie seat
39. Mop
40. Rose
41. Rod
42. Rain
43. Rome coliseum
44. Rower
45. Rail
46. Roach
47. Rag
48. Roof (bus vent)
49. Rope
50. Lice
51. Lot (marks)
52. Lion
53. Elm
54. Lure (plastic duck)
55. Lilly
56. Leash
57. Lake
58. Leaf stem
59. Lip
60. Cheese pizza
61. Sheet Metal
62. Chain
63. Chum
64. Cherry
65. Jail (sniper tower)
66. Chouchou
67. Check
68. Chef stove
69. Chop stick
70. Case (suitcase)
71. Cat
72. Can
73. Comb
74. Car (2 doors)
75. Kale
76. Cage (hamster’s))
77. Coca box
78. Scaffold
79. Cab (top sign)
80. Fuse
81. Foot
82. Phone
83. Fume (portable gaz tank)
84. fire hose
85. file cabinet
86. fish on ice
87. fog house (light house)
88. fifi brin d’acier (French character)
89. fab 4
90. bus
91. bat
92. bone
93. bum
94. bear
95. bell
96. beach
97. book
98. puff
99. pipe
100. Disease (elephantism)
101. Toast
102. Design (architect table)
103. Aim Dart board
104. Taser gun
105. Diesel car
106. Dosage spoon
107. Task (unplug toilet)
108. Save Dessert (fruit salad)
109. Spa Straw
110. Dad’s beard
111. Sweet date
112. Trumpet tune
113. Totem
114. Deter scarecrow
115. Toilet tile
116. Stitches
117. Attack Doberman
118. Dolphin Dive
119. Toilet tap
120. Tennis net
121. Scent detergent
122. Water canon
123. Dynamo (bike’s)
124. Tenor
125. Tunel
126. Three punch holes
127. Tonic ginseng
128. Dagger knife
129. Trailer nob
130. Mouse trap
131. Tomato
132. Women head dress(all covered)
133. Mom’s tampon
134. Tumor on plant
135. Tamil
136. Damaged Dirigible
137. Stomach
138. Movie DVD
139. Temperature hail
140. Dress
141. Dart
142. Drain
143. Trimmer
144. Drawer
145. Drill
146. Austrich
147. Truck (construction heavy load)
148. Trophy
149. Drape
150. Stalls (horse’s)
151. Toilet water
152. Balloon toy
153. Gloomy stop
154. Taylor tape
155. Lowly decoltee (French)
156. Door latch
157. Tongue lick
158. Hot lava
159. Tulip
160. Chess timer
161. Disgusting sheet (toilet sheet)
162. Double chin
163. Gym trampoline
164. Cherry tattoo
165. Jail tray (hard tray)
166. Chouchou steam pot
167. Water jug
168. Chef hat
169. Wood Chip
170. Dogs’ treat
171. Dashing skates
172. Token
173. Tee ball game stand
174. Tiger
175. Store scale
176. Baggage ticket
177. Kick hat (shreiner’s)
178. Coffee Thermos
179. Dentist cup
180. Devise “s” shape hold
181. Devide scissors
182. Define dictionary set
183. Defamous davinchy drawing
184. Hydrant fire
185. Devil
186. Fish statue
187. Defog head light (bike)
188. Fifi hair stile (see 88)
189. Fabulous tintin
190. Space star patern
191. Tree pot
192. Ban stunt (bag used to go over falls)
193. Athletic beam
194. Prey dinosaur
195. Delicious apple
196. White page
197. Tooth pick
198. Pave tar, sticky tar substance used in road constr.
199. Tobacco pipe
200. Nameless ass (African ass)
201. Nest
202. Insane woman
203. Inseam
204. Knight sir, a knight chess
205. Nasal hair
206. Noxious sewage
207. Niska (artist paint)
208. Save newspaper (inside plastic)
209. Inuit soap
210. Nudity tease
211. Tooth incisive
212. Nipple tune instrument bike
213. Newborn dome
214. Nitro seal (seal of bottle)
215. Noodles
216. Unafraid hostage
217. Tuke nylon (winter hat)
218. Native dress
219. Needle tip (for boards)
220. Nasa uniform (space suit)
221. Naphta scent balls
222. Antique canon
223. Venomous snake (eastern Diamondback)
224. Near neighbor
225. Inhale narcotic
226. No nudge (rocking chair)
227. Nock nock device
228. Infentery knife
229. Nab snake (ribbon snake)
230. Nosy moose
231. Nomad (with large backpack)
232. Cinnamon
233. Animated mime
234. AnnaMarie
235. Windmill
236. Intersection damage
237. Wanted mug
238. Nymph of mosquito
239. Damp newsstand (paper box)
240. Nurse
241. North Pole
242. running neuron
243. Romeo and (balcony)
244. Rower anchor
245. Rolindex
246. Enrage (shrink’s couch)
247. Natural rock (menhir)
248. Nevrve back spine
249. Rip nightclothes
250. Snails
251. Nailed chair
252. Woolen napkin
253. Lame nut cracker
254. Nacre layer
255. Lowly sandpiper
256. Window ledge
257. Incredible hulk
258. Inlove engrave
259. Snowy slope
260. Jazz note
261. Noble chateau
262. China snake
263. Gym wrongs
264. Injury charley horse
265. Angel
266. Chouchou engine(fireplace tools)
267. No-frills jack
268. Indian chef (feather hat)
269. Chopped onion

270. Snacks (mountain mix in bag)
271. Needle kit
272. Nuisance coin (penny)
273. Coma num
274. Negro hair
275. Snuggle a pillow
276. Baggage sandal
277. Kick window screen
278. Natural Cave stalagmite
279. Cupboard Nailclipper
280. Infuse tee device
281. Invade window
282. Invent fire detector
283. Fame Einstein
284. Fire engine
285. File instrument
286. Angel fish
287. Nutritious fig
288. Fifi honey (This French character is a honey)
289. Santa fabulous
290. Necessary pass (bus pass)
291. Pit instrument (takes core off apples)
292. Ban snowmobile
293. Intersection bum
294. Snipper viewfiner
295. Nipples cow’s
296. Beach sunscreen
297. Bike handlebars
298. Peave insect
299. Newborn baby
300. Moon size
301. Mist spray
302. Snow man
303. Homo males
304. Miserable (movie scene)
305. Muscle truck’s lift
306. Massage
307. Mask
308. Massive elephant
309. Spy minicamera
310. Mitts
311. Matted king
312. Madona
313. Time mountain
314. Metro (subway)
315. Metal lingo
316. Attach motorcycle
317. Medic
318. Motif cardigan
319. Metabolism tube (dr’s)
320. Nasa missile
321. Minth
322. Nanobe microbes
323. Enemy monster (child movie character)
324. Minor
325. Manual harmonica
326. Manage pocket
327. Maniac (mass killer)
328. Margarine knife
329. Nab merlin
330. Mass mixture (beer maker)
331. Home maid
332. May man (a fly)
333. Mom’s umbilical cord
334. Mesh armor
335. Mammal muskrat
336. Medal damage
337. Smoke smoke
338. Movie image (cardboard dummie)
339. Montreal Map
340. Morse
341. Heart emergency (machine heart)
342. Submarine
343. Army market cap
344. Mirror
345. Meat grill
346. March majorette
347. Morgue
348. Smurf
349. Troupe members
350. Molasses
351. Mold
352. Melon
353. Lame model
354. Magnetic layer
355. Lowly board piece (mini plane)
356. Mileage counter
357. Milk bag
358. Maple leaf
359. Cement slab
360. Midges
361. Midget
362. Madvac machine (street vaccum)
363. Gym Mass
364. Cheer Mascot
365. Jail mate
366. Chouchou mini
367. Magic cards
368. Achieve macramé
369. Chip monk
370. Mucus
371. Maggot
372. Metal cane
373. Monopoly game
374. Meager muffin
375. Smuggle (small spray can)
376. Cage hamster wheel
377. Kick ambulance
378. Cave man
379. Cup musk skunk
380. Match fuse
381. Fat swimmer
382. Mini van
383. Foam mixing (hair washing)
384. Meditation Fair
385. Muffle removal (car snow brush)
386. Minnow fish
387. Fog humbrella
388. Fifi Smile (logo)
389. Fab pumpkin
390. Military base barbed wire
391. Moped
392. Marshmallows bun
393. Main beam construction stage
394. Disappear magician
395. Cymbals the pits
396. Swim badge
397. Bike magazine
398. Cement pavement sidewalk preparations
399. Pipe man
400. Uranus size
401. Rust vent
402. Reasoning brain
403. Racism Mandela
404. Razor
405. Harp seal
406. Horseshoe
407. Risk pogo stick
408. Receive santa’s red bag
409. Raspberry
410. Roots dandelion
411. Rated rook
412. Written notes (parachuted from sky)
413. Redeem walking on cloud
414. Radar dish
415. Retail defence (on front window)
416. Radish
417. Arctic aries
418. Deafen siren (police’s car top)
419. Deep rig (for loading)
420. Harness (climber’s)
421. Ravine newt
422. Canon round
423. Numb arm
424. Air banner
425. Arsenal catapult
426. Syringe
427. Real knocker (puppets)
428. Round knife
429. Nab earthworm
430. Swarms flies
431. Remote control
432. Roman candles
433. Mom’s relick (art belonging to mom)
434. Armor tank
435. Airmail letter
436. Hair damage (hair loss)
437. Rudimentary hammock
438. Remove dust pan
439. Ramp
440. Rice cereal
441. Sewer rat
442. Ruin remains
443. Rotating rim
444. Rower oar
445. Restaurant Grill (outdoor pick nick table)
446. Rich residence
447. Road reck
448. Aerial roof (mobile platform)
449. Rhubarb
450. Rolls die
451. Roulette lottery
452. Airline
453. Rolling lime
454. Ruller
455. Lowly raccoon
456. Relish
457. Air leak tube
458. Red pine leaf
459. Loopy earing
460. Arches (Arch of Triumph)
461. Searched hut
462. Razor machine
463. Gym horse
464. Hair chair
465. Hair gel
466. Chouchou rail
467. Artichoke
468. Chef refrigerator
469. Chip recording
470. Circus
471. Pingpon racket
472. Hurricane satellite photo
473. Racketball game
474. Rigor mortis dead bird
475. Ring bill gull
476. Royal Cash 10 $
477. Kick a Hockey ring
478. Cave art
479. OCAP Rally (legislature statue)
480. Effacer
481. Rivet
482. Ravine
483. foam surfing board
484. river
485. rifle
486. fish reef (aquarium prop)
487. fog raincoat
488. Uranium symbol (I don’t remember why)
489. Fabulous road runner
490. Ropes for training
491. Rabbit
492. Harpoon canon
493. Vynil pocket (recording album)
494. Robber
495. Rubble
496. Hair peach
497. Repack socket
498. Pave roller
499. Orange pip

500 Leases bowling alley
501 Last icicle
502 Listen student desk
503 Wholesome store cashier plastic bag holder
504 Laser
505 Lawful seal
506 Siege ladder
507 Alaska igloo
508 Lessive (French, tray inside dish washer)
509 Liquid soap
510 Lights (stage lights)
511 Lighted lighter
512 Latin species pined insects
513 Ultimo calendar
514 Liter container
515 Little lectern
516 touch linesman
517 think library shelves
518 stiff olive
519 Deep see life fish
520 lenses magnifier
521 lint from screen of drying machines
522 noon lunch box
523 numb leg
524 linear triangle music
525 solar panel
526 lynch stand
527 neck lace
528 long knife sword
529 line-up super market
530 maze labyrinth
531 limit flag soccer
532 lemon
533 Alps mommy frozen
534 lemur
535 lotto mall booth
536 sledge damage
537 electronic mike
538 move lawn rolled grass
539 lamp shade
540 walrus
541 Alert
542 long runway
543 alarm bell red
544 lord prayer cross
545 trail lynx
546 large bobsleigh
547 leaf rake
548 larva caterpillar
549 lofty ruby
550 Lilies
551 salad lettuce
552 laundry line
553 lame holder candle stick’s
554 aluminum layer
555 lowly alligator
556 slippery algae on rock
557 slack elevator
558 leaf littering bum (guy who litter the streets with free papers)
559 loolahoop a circle for swinging around waist
560 leeches
561 lumber shed
562 laundry machine
563 gym locker
564 electric chair
565 isolation jail cell
566 chouchou wheel
567 yellow chick
568 Chief woolves alpha and betta
569 chop helicopter
570 littering goose
571 liquide lubricant 9
572 lagoon like shaped transistor
573 legume been pod
574 loggerhead
575 galley labor
576 luggage
577 lumpy gag
578 loony goofy
579 lock up bike lock
580 law office reception desk
581 low lift lifter’s power bar
582 ceiling fan
583 love him (give him a G-string underwear)
584 leaver (bike tire repair)
585 level
586 fish lobster
587 fog lightening
588 Fifi elastic Mischievous girl slings elastics
589 fabulous Luck Luke cartoon
590 peace logo
591 lipid spoon (with hole in it so you can lose weigthd)
592 pin wheel fire work
593 stamp album the plastic strip used to hold the stamps in the album
594 wheelbarrow
595 label on shirt
596 beach life guard chair
597 bike helmet
598 peave holes (a bin full of holes I used to own)
599 pipe line
600 Jupiter size
601 just woman the washroom sign
602 switch is on a lever switch
603 miawo’s chow cat’s bowl
604 chasing zoro
605 chisel
606 siege chariot western
607 shrink sack windbreaker as a belt pouch
608 sofa chesterfield
609 sugar maple sap container
610 shades
611 toad shrimps
612 judo dan belt
613 generous dime
614 shooter volleyball
615 shuttle space
616 shallow ditch
617 zodiac Sagittarius
618 chef d’oeuvre mountain of bike art
619 gel tip of tooth paste
620 Chance joker character
621 chant ear muffs
622 jet canon kid mall ride
623 numb jaws from movie Jaws
624 chalk banner
625 channel western bar like double swing doors
626 change room
627 unique jersey Vince Carter’s
628 Jungle knife
629 Chew nib
630 Ash moss (tree leaf)
631 mud jam
632 chimney
633 chubby mum pregnant
634 mayor chamber city hall
635 male jock exercising with small weights
636 show homage
637 Shoe Mountain Equipment Coop (MEC) shoe stand
638 movie jock small flash light
639 chimpanzee
640 Raise a Javelin
641 Shredded paper
642 journalist’s station logo on mike
643 germinating avocado
644 rare gene double helix model
645 cheerleader
646 church
647 shark
648 sheriff
649 Shrub
650 shoe lace
651 shield for motorbike
652 balloon ship
653 juggling lama
654 jade layer
655 lowly checkers
656 shut eye lash
657 shylock’s security bank window
658 shelf brace
659 giant globe
660 chachas’ ball disco ball
661 chasing cheetah
662 jack hammer machine
663 gym jackstrap
664 jammed jar
665 shinny Jell-O
666 Judge’s jewelry
667 chic chandelier
668 Achieve shorthand steno
669 chop chard
670 Jingle keys
671 jacket
672 sugar cane
673 jig saw game (puzzle)
674 sugar bag
675 chuckle mike’s stand comedy
676 baggage journal
677 kick a G-I Joe
678 shopper’s coffee
679 Aged cob
680 shrub vase
681 shaft
682 fine chocolate
683 fame shoplifter (a politician)
684 chauffeur helmet
685 shovel
686 fish shit
687 vogue shirt
688 jumping hoof deer
689 fab 007
690 Space ship enterprise
691 shoulder pad
692 ban a chop board
693 bum jewel (carved soap sold on streets)
694 Giant pear
695 chapel
696 shobby pouch worn at the waist
697 shot puck
698 pave shingle
699 chief pope
700 Galaxy size constellation
701 Cast (arm plaster)
702 cousin
703 cosmos observatory
704 Sahara cactus
705 Guzzling toilet
706 massage cream pot
707 zigzagging pin ball machine
708 goalie save arm pad
709 soup crouton
710 kites
711 gobbling toad
712 guitar tune
713 time course (starting block)
714 glass cutter
715 cuddle a doll
716 caddis fly
717 tack gun
718 scuba dive snorkel
719 deep gage for oil
720 canoes
721 queen ant
722 canon on large battle ship
723 enemy ghost
724 skinner sealer with club
725 square funnel for liquids
726 carnage body parts
727 conic nuke explosion
728 knife exacto
729 nab cobra
730 gums of teeth
731 comet
732 gammon game triangles
733 crown mummy
734 camera
735 camel
736 scrimmage exit sign
737 smoke cone
738 move cadence (tempo keeper device)
739 camper towed
740 grease
741 shopping cart
742 crane
743 groom from top of wedding cake figurine
744 courier van
745 coral
746 crutch
748 scarf
749 grips on a bike
750 claws of bird
751 cloud
752 clown
753 clam
754 clairvoyant’s crystal bowl
755 Galileo’s binoculars
756 clutch birds
757 clock dial
758 gloves
759 paper clip
760 coaches’ corner Don Cherry
761 Gadget bike seat spring
762 keyboard machine
763 cut gems
764 catcher
765 jail camisole
766 chouchou coke
767 choke exhaust (truck’s)
768 shave crop blade
769 ketchup
770 cocos
771 comic kid Charlie Brown
772 Christmas cane
773 hockey game (stick)
774 go-cart
775 goggle (swimmer’s)
776 baggage socks
777 kick aquarium
778 coffee grinder
779 cupboard garlic
780 vice grips
781 ski lift seat
782 coffin
783 fame Socrates’ drink
784 Car cover
785 Gavel
786 Squid fish
787 Kangaroo ****!
788 Fifi’s school play ground revolving play ball on stand
789 Fabulous Gaston (cartoon character)
790 booze caps
791 ink spot
792 Cabin cruiser
793 bum’s cardboard
794 copper glass
795 battery cables
796 cabbage
797 bike cable housing
798 pave garage door
799 baby sucker
800 Venus size
801 fist
802 vicinity phone booth?
803 homo females
804 fissure on dam (this one not correct as fissure should be 864 but it still works)
805 fossil
806 physician
807 viscous liquid for photography in trays
808 save vault
809 vegetarian soup
810 fetus
811 fetida bin a worm bin (see my handle)
812 vanity tan lamp for tanning
813 time avalanche
814 feather
815 vital water gourd
816 touch Velcro
817 ****ing dick (this is not obscenity, it represent a ball kicking person I once briefly heard)
818 Flying dove
819 deep foundation
820 fans
821 faint microscope
822 violent canine
823 venomous frog
824 vinegar
825 funnel
826 finch
827 unique fire ball WTC
828 folding knife
829 nab a fox
830 moss verdure
831 vomit
832 famine ( a paper famine measure used on starving kids’ arms)
833 mom vibrator
834 femur
835 female underwear
836 flood damage wood work frame as base
837 mock fire device inside fire place
838 moving van
839 damp vitamin cotton inside new bottle
840 frozen ice-cream
841 grapefruit
842 fern
843 farm field
844 rower’s vest safety
845 food roll
846 fractured ridge
847 fork
848 fair ref
849 refurbished leg stand
850 fleece jacket
851 football field
852 violin
853 flame thrower
854 flower
855 lowly floor wood strips
856 flash bulb
857 flag
858 Presta valve (narrow bike valve)
859 floppy disc
860 fudges
861 fidget fountain
862 ****ing vagina (not obscene, if represent a guy scared of the ball as per ****ing dick)
863 Gym vault
864 folding chair
865 Jelly fish
866 fair judge
867 fishhook
868 fake chefs protest
869 ship vessel a dinghy
870 gas filter mask
871 fact marker
872 vegan wide out door steps at the vegan food fair
873 football game (oblong ball not soccer)
874 figurine lawn
875 fickle weather cock
876 baggage voodoo dull
877 kick a furnace
878 coffee filter
879 cupboard floss
880 office fax
881 vivid red light
882 vertical vine
883 fame Van Hallen belt (just a belt)
884 fever thermometer
885 fuel facilities (pumps)
886 flying fish
887 fog fender
888 fluty flute fife a small flute
889 fabulous Fanfreluche TV character
890 booze flask
891 flower pot
892 frying pan
893 photo album
894 flying prey (flying squirrel)
895 feeble flight (first, Rights bothers)
896 beach flippers
897 bike frame
898 peeve flood light
899 effervescent pop
900 Pluto size
901 past tombstone
902 basin for children playing
903 asthma spay medication
904 Bizarre clothing
905 puzzle block 3D
906 sage spice
907 soak sprout bag
908 passive beetle
909 soap bar
910 winter boots
911 potato
912 beaten stretcher
913 Dim button round switch
914 potter
915 pedal
916 touch a porcupine
917 bulldog
918 dive board
919 black tape, electrical
920 pins
921 paint
922 banana
923 venomous spider
924 banner (happy birthday)
925 panel discussion
926 punched black eye
927 bionic pirate with missing arm and a hook to replace it
928 box knife
929 snap button
930 bemuse pause of thinker statue
931 permit in elevator
932 open mine back hoe bulldozer
933 mummy pyramids
934 bummer guitar case for donations
935 mail box
936 match box
937 smoke pyrotechnics
938 movie popcorn
939 pump bike
940 price sticker
941 bread
942 prune
943 broom
944 payer host (the round bread at the church)
945 pearl
946 hair brush
947 brake system, bike
948 professor black board
949 probe dental
950 place hooks for coats on the back of doors
951 bald head
952 plane (delta plane not to mix with 452)
953 plumb for fish line
954 pillar
955 lollypop
956 whiplash, a whip
957 plug electric
958 believe in fairy
959 bulb 60 watts
960 patches bike
961 bed sheet
962 bank machine
963 gym bag
964 baby chair in restaurants
965 jelly beans
966 judge’s pot
967 chick pea
968 chef’s pepper
969 potato chip
970 pigs
971 picket strike
972 can opener
973 basketball game
974 poker hand
975 bagel
976 courier package
977 kick a bungalow
978 coffee bean
979 cupboard
980 office building
981 pivot for doors
982 bovine face
983 Presley fame
984 beaver
985 biting flea
986 fish penguin
987 for boots (waterproof)
988 bee hive
989 fabulous Bobino TV character
990 baseball base
991 bibbit lady bug (bibbit is French, I think. I think it means critter. puppet instead?)
992 Ban bullets
993 bum blanket
994 bar bouncer
995 pebble
996 police badge
997 bike spoke
998 pave brick
999 plastic pipe

17 March, 2014 - 18:51
Joined: 3 years 2 months ago

Thanks for that Simon.

I will be using some of these images. A lot of them (most?) seem to not conform strictly to the rules though. The consonants seem to be able to be in any position of the words, with it rarely being 1.2.3, often it seems to be x x 2 3 X 1 or something similar. A lot of them are also 2.3 1 x x x. Did you just look for any word that had any combination of the three consonants in it? With you having 10? sets of 1000 images, I don't blame you. Interesting method by the way, seems very difficult to keep track of that amount of images in a way that you can retrieve them efficiently, but stranger things have happened.

18 March, 2014 - 06:57
Joined: 5 years 1 week ago

Hi Bateman,

You are welcome. I'm glad I could help with some words.
Yes, I do give myself a lot of flexibility in my system. Take the word BeaCH for instance. When I have two consonants like that, I really like to keep them for the last two digits, X96. Then I use a first initial for another word to go with it (flippers, lifeguard). I know that I would never use the word Beach for the first digit of the 900s because I use it all over for the 96. I'm also often ignoring the first S of a word because its value is zero. For instance, in Beach suNscreen I consider the N to be the first consonant. I almost never use the first initial of a word for the last unit of a number. I found that having this system does help.

4 June, 2014 - 12:36
Joined: 5 years 2 months ago

Josh Cohen wrote:
DoubleHelix wrote:

Oh, and since the 600s are hard, consider this an opportunity to learn a little German. Deutsch ist auf easiest of the languages for an English speaker! Many diphthongs.

Good idea to use German words. I used words from about seven languages in my images (with dictionaries), but I don't think there are any German words in my system since I didn't know how to pronounce German back then.

I think I have 2 German words in my list. I'd expected to have more, but didn't really need them. I have a couple of Japanese words, too.

5 June, 2014 - 08:00
Joined: 2 years 10 months ago

Hi, I want to make a 3 digit system and so far I think the best option would be the Ben system. I have a few questions for those of you who use a 3 digit system:

Do you think it is better than a two digit system?
How many images do you place per locus?
Does a 3 digit system have slower recognition than a 2 digit system?
Would you recommend it for spoken numbers?
How long did it take to learn all the images?


6 June, 2014 - 12:08
Joined: 5 years 2 months ago

MCEVE01, I hope others can answer your questions, but I'm going to refrain until I have more experience. One thing I will note is that a 3-digit system will definitely reduce your incidence of repetitions. Consider the task of memorizing 1000 digits in less than 1 hour to meet, for example, one of the GM norms. With a 2-digit system, you'd need 500 images, so each image you'd expect to encounter on average 5 times during the run. Maybe you can manage that, but what most people don't consider is that that's the average. The worst offenders (images that coincidentally repeat the most) could appear 11 times or more on a typical run, and almost all of the images (over 99%) will be seen. (I simulated this with a program.)

For a 1000 image, 3 digit system, you'd need 334 images to encode all 1000. If I run this through my program, the worst offenders repeat maybe 3-4 times, and 72% of the images won't even appear once in any given run.

So that's good news and bad news. The good news is that with a 1000 image system you won't have to deal with repeated images anywhere near as much. The bad news is that normal practice (just using the system to memorize numbers) won't exercise all of your images. You have to rehearse them systematically.

From a human experience, a lot of my new images are still surprising me, and I think that's good. With 100 images, that doesn't happen as much.

If you have 1000 images and one of them is Godzilla, when you finally see Godzilla it's like "wow, Godzilla just showed up at my place and started crushing everything in sight and setting it on fire." That's pretty special.

If you have 100 images and one of them is Godzilla, you get used it. You see Godzilla all the time. It's more Godzilla is your roommate you chat with all the time but still never washes the dishes. Somehow being Godzilla isn't so interesting any more. :)

8 June, 2014 - 18:52
Joined: 4 years 1 month ago

MCEVE01 wrote:

1Hi, I want to make a 3 digit system and so far I think the best option would be the Ben system. I have a few questions for those of you who use a 3 digit system:

2Do you think it is better than a two digit system?
3How many images do you place per locus?
4Does a 3 digit system have slower recognition than a 2 digit system?
5Would you recommend it for spoken numbers?
6How long did it take to learn all the images?


1) The major system is also a viable option to use for a 3 digit system, including fine options for binary and a 2-card systems as well as the Ben System. It is what I use and have found success with personally, which is why I espouse it. But the Ben System works too.

2) Yes, there's no question about it to me. One or two people have reached elite levels with a 2-digit system, but it's rare, and I wouldn't count on you or anyone else to be the third person to make that work.

3) Different strokes for different folks. But for most of us it's 3. I've had nearly equal success with 2 even though I rarely try it. Just the other day I set a PB with 2 per locus, but I think I could do it with 3/locus also. If possible, 3 is obviously better than 2 for the 33% reduction in loci used.

4) It depends on the user. I don't think many people can recognize their 2 digit systems as quickly as I can recognize my 3-digit one. But Wang Feng can recognize his 2-digit images faster than I will probably ever be able to. Are you the next Wang Feng? Maybe you are, but for us humans, the 3-digit systems often start getting pretty fast before long, and that doesn't happen as often with 2-digit systems...but of course it can.

5) For spoken numbers, it is just awesome. I love getting 3 seconds for each image.

6) I think you can memorize them pretty quickly. It takes a lot longer to get to the point where you never have to stop and think about it. And then longer to get to the point that you feel comfortable with the details of each image. It varies from person to person, but I would say that if you would be satisfied with an above-average competence with number scores in one year from the starting point, you should definitely do it. It took me probably a quarter of that time to go from a speed numbers PB of 120 to 240, and the rest of the year to get that up to 360, tripling the starting point. I practiced a whole lot to get there though, which is why I said "a year" above. A score of 240 is well above average on its own, and you can easily move beyond that with some patience. But with a few more months practice with a 2-digit system, that starting point could probably have been much higher and you would wonder if it was even worth the effort. It's all so relative that it's hard to even talk about. But I DO NOT think there is anybody who has learned a 3-digit system and regrets spending the time. I for one will never use a 2-digit system again.

If you plan on sticking with memory sports for years, and you have the patience to carry out long projects, do it.

8 June, 2014 - 19:28
Joined: 5 years 5 months ago

It's really nice post, Lance. Thanks a lot :)

30 June, 2014 - 12:34
Joined: 2 years 10 months ago

Thanks, Lance. I've started on the Ben system for decimal and binary because I like his idea of one syllable words. I think I might use it for cards but 2704 images is a lot!

28 July, 2014 - 16:02
Joined: 2 years 8 months ago

I have started my 1000 objects and am having a hard time with:


Anyone have some general tips for dealing with these 300 objects?
I like the idea of sometimes having exceptions but don't want to confuse myself by having too many

I do feel that Loci's estimation of 6-12 months is correct....
I will give you an update

28 July, 2014 - 16:51
Joined: 5 years 2 months ago

raykidwell wrote:

I have started my 1000 objects and am having a hard time with:


Anyone have some general tips for dealing with these 300 objects?
I like the idea of sometimes having exceptions but don't want to confuse myself by having too many

I do feel that Loci's estimation of 6-12 months is correct....
I will give you an update

All Major? If you are using the usual "6 = sh, soft ch, j, soft g, zh" then I understand. The truth is that combination isn't as frequent as some others. Leading 'n' can also have more gaps for the same reason.

I adopt a variation where I moved the hard 'g' from 7 to 6 but I also allow 6 to represent the sounds above. In normal Major system, 'g' is grouped with 'k' which is logical as it is phonetically similar. However, 'k' by itself has enough matches to stand on its own, so I decide to move the 'g' to help out the 'j'-ish sounds. I'm not saying I recommend it...in fact recently I considered undoing it because it's less natural, but it did help with some gaps.

Whatever you do, it's going to be a bit of a whack-a-mole exercise with 1000 images. You might make a change that makes one part of the table easier to fill in but it will make others harder. 5-10% nonsense syllables or creative cheats actually isn't that bad.

Direct association is still possible with some of the 1000 images. For example, I noticed recently that when I look at 262 I sometimes think of a marathoner because 26.2 miles is the length of a marathon. That's not my image, but it could be.

28 July, 2014 - 21:47
Joined: 2 years 8 months ago

thanks for the tips
I have also modified by using some hard G for 6 in the second or third position
I am glad I am not the only one!

12 August, 2014 - 16:13
Joined: 2 years 8 months ago

Wow working on a 1000 objects has been a real chore
Loci was right when he said it would probably take 6 months....

12 August, 2014 - 17:43
Joined: 3 years 7 months ago

I can relate to this raykidwell...

I decided to build a 1000 object system back at the very beggining of June, and while I finally filled out the whole system about two weeks ago, I just find it really hard to find the motivation to learn them all well. I am not quite to the point where I can tell you all of my images from memory no matter how much time you give me, and as of this past week I have not been practicing much at all. I might try to just start actually memorizing strings of numbers, but only use 100 images at a time (by using the handy number generator in the "training" section on this website) to try to make the review process a little less boring, but there is no doubt that learning (and creating) your images will take a very long time. How far are you in the process raykidwell?

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