• When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.

Walking Dead #1 Black Label vs White Label - an Answer! UPDATED 2/4/14
2 2

Started by bffnut,

304 posts in this topic

Jaydogrules

Jaydogrules

Posted
Posted

A quick read of the current listings on ebay would have that percentage at about 25% black labels, at listing and auction prices comparable to the white labels. Some of those sellers aren't even mentioning label colour either way. There are 12 black label walking dead #1s for sale on eBay right now. As Maloney said and bffnut's data seems to suggest, they are less common than the white labels, but are by no means rare or scarce, or hard to come by in pretty much any grade at any given time. Thus no price difference.

 

Geesh I have too much time on my hands lol.

 

-J.

Link to comment
Share on other sites
bffnut

bffnut

Posted
  • Author
Posted

Updated with some more data:

 

I am 95% confident that the true proportion of black label Walking Dead #1s fall between 13.15% and 22.77% of the print run. When multiplied by the population (7266), that gives a range of 956 to 1654.

 

 

 

Data:

white - 201

black - 44

 

 

id - grade - color

1266002 - 9.8 - white

5884001 - 9.8 - white

20418502 9.8 white

22362001 9.8 white

79182012 - 9.8 - white

109844001 - 9.8 - black

110345002 - 9.8 - black

113915004 - 9.8 - white

129296015 - 9.8 - white

140573002 - 9.8 - white

142193005 9.6 black

142379001 9.4 white

144970011 - 9.8 - black

146321020 - 9.8 - black

154026025 - 9.8 - white

154946001 - 9.6 - white

165995005 - 9.8 - white

167232001 - 9.8 - white

170953001 - 9.6 - white

176156006 - 9.6 - white

177498001 - 9.8 - white

178638010 - 9.8 - white

180529005 - 9.8 - white

182175002 - 9.6 - white

186693002 - 9.8 - black

186798001 - 9.6 - white

187124001 - 9.6 - black

189794002 - 9.6 - white

191516002 - 9.6 - white

191821001 - 9.6 - black

191970001 - 9.6 - white

192488001 - 9.6 - white

193861001 - 9.4 - white

194079001 - 9.8 - white

195496001 - 9.4 - white

197225001 - 9.6 - white

197449001 - 9.6 - white

197644001 - 9.4 - white

197644002 - 9.8 - white

197759001 - 9.6 - black

197855002 - 9.4 - black

198629002 - 9.4 - white

198760005 - 9.4 - black

198872001 - 9.8 - white

198923002 - 9.8 - white

198967001 - 9.8 - white

199787001 - 9.4 - white

200322007 - 9.6 - white

202176002 - 9.4 - white

202875001 - 9.6 - white

203216001 - 9.8 - white

203420002 - 9.8 - white

203658001 - 9.8 - white

204153001 - 9.6 - white

204501001 - 9.8 - black

204530001 - 9.8 - white

204895001 - 9 - white

205393001 - 9.4 - white

205791001 - 9.6 - white

206059009 - 9 - black

206222001 - 9.4 - white

206258001 - 9.4 - white

206267001 - 9.8 - white

206456001 - 9.8 - white

206563012 - 9.6 - white

206563013 - 9.8 - white

206563015 - 9.8 - white

206563016 - 9.9 - white

206729018 - 9.6 - white

207421001 - 9.8 - white

207506001 - 9.4 - white

208527001 - 9.4 - white

209169001 - 9.8 - white

209397001 - 7 - white

209413001 - 9.6 - white

209503001 - 9.6 - white

209755001 - 8.5 - white

209755002 - 9.6 - white

209786001 - 9.4 - white

210256001 - 9.8 - white

210616001 - 9.6 - white

210873001 - 9.8 - white

211206001 - 9.6 - white

212003001 - 9 - black

212599001 - 9.6 - white

212649001 - 9.6 - white

212759001 - 9.8 - white

213227001 - 9.6 - white

213833001 - 9.8 - white

215514001 - 9.8 - white

217348001 - 9.2 - white

217873001 - 9.8 - white

218075004 - 9.6 - white

218796001 - 9.6 - black

219205001 - 9.4 - white

219268003 - 9.6 - white

219401001 - 9.4 - white

219649001 - 9.9 - white

220014001 - 9.4 - white

220168001 9 white

220205001 - 9.6 - white

220374001 - 9.8 - white

221709001 - 9.8 - white

615771001 - 9.6 - white

615780003 - 9.8 - black

628194007 - 9.6 - white

709176017 - 9.8 - white

709182012 - 9.8 - white

709414007 - 9.2 - black

723222007 - 9.6 - white

744351002 - 9.6 - white

749317002 9.8 white

771997001 - 9.4 - white

783141003 - 9.4 - white

797804003 - 9.6 - black

808607002 - 9.8 - white

905937002 - 9.8 - white

930193013 9.8 white

930821003 9.2 white

938958010 - 9.8 - black

945967001 - 9.6 - white

952169001 - 9.8 - white

955469001 - 9.2 - white

956195018 - 9.8 - white

957831001 - 9.6 - white

966396001 - 9.9 - black

968161006 - 9.8 - black

975877003 - 9.8 - white

975877004 - 9.6 - white

976122007 - 9.8 - black

976122010 - 9.8 - white

985729009 - 9.4 - white

991934004 - 9.4 - white

994664002 - 9.9 - white

1006423009 - 9 - white

1011229007 - 9.4 - white

1015106004 - 9.8 - black

1019293020 - 9.2 - white

1020211001 - 9.9 - white

1024487001 - 8.5 - black

1027451008 - 9.6 - black

1032371007 - 9.8 - white

1032371008 - 9.8 - black

1039822001 - 9.6 - white

1054779004 - 9.8 - white

1055026002 - 9.8 - white

1055107007 - 9.8 - white

1056971002 - 9.8 - white

1072637001 - 9.8 - white

1074787001 - 9.2 - white

1075564016 - 9.8 - white

1075766002 - 9.8 - black

1076175004 - 9.6 - white

1076238002 - 9.8 - white

1076401004 - 9.6 - black

1091638001 - 9 - white

1091638002 - 9 - black

1091638006 - 9.8 - white

1091754001 - 8.5 - white

1092733001 - 9.8 - white

1092999002 - 9.8 - white

1094188002 - 9.8 - white

1094188003 - 9.8 - black

1094428002 - 9.8 - white

1096294001 - 9.2 - white

1096294002 - 9.8 - black

1096874002 - 9.8 - black

1098734001 - 9.4 - white

1100308001 - 9 - black

1100551001 - 9.8 - white

1101018001 - 9.8 - white

1103146001 - 9.8 - black

1104801013 - 9.6 - white

1105049002 - 9.8 - white

1105086001 - 9.8 - white

1107254001 - 9.8 - white

1107526004 - 9.8 - white

1107956001 - 9.9 - white

1108057001 - 9.4 - white

1108376001 - 9.6 - black

1108586004 - 9.8 - white

1109516002 - 9.8 - white

1109742004 - 9.6 - white

1109815002 - 9.6 - white

1110345002 - 9.8 - black

1110547006 - 9.8 - white

1110580001 - 9.8 - white

1115011001 - 9.4 - white

1118624001 - 8.5 - white

1125435001 - 9.8 - white

1125635001 - 9.9 - white

1125845001 - 9.4 - black

1126235001 - 9.8 - white

1126506001 - 9.8 - black

1127144001 - 8.5 - white

1127144002 - 9.2 - white

1127200004 - 9.8 - white

1127646001 - 9.6 - white

1129133001 - 9.2 - white

1129425003 - 9.4 - white

1132829003 - 9.8 - white

1134187001 - 9.6 - black

1134505003 - 9.8 - black

1134935015 - 9.8 - white

1135714001 - 9.8 - white

1136103001 - 9.4 - white

1136174005 - 9.8 - white

1136548001 - 9.8 - white

1136573003 - 9.6 - white

1139044001 - 9.8 - white

1157530001 - 9.8 - white

1158624003 - 9.6 - white

1158869001 - 9.8 - white

1158966002 - 9 - white

1159072001 - 9.8 - white

1159103001 - 9.2 - white

1159103002 - 9.4 - white

1160002001 - 9.6 - black

1160052001 - 9.2 - white

1160739001 - 9.2 - white

1162492001 - 9.4 - white

1164646001 - 9.8 - white

1164781002 - 9.4 - white

1164802001 - 9.6 - black

1165456001 - 9.8 - white

1165603001 - 9 - white

1166249001 - 9.8 - white

1166279001 - 9.8 - black

1168178001 - 9.8 - white

1169901001 - 9.4 - black

1169913001 - 9.8 - white

1171102001 - 9.6 - white

1174823001 - 9.6 - white

1174897001 - 9.6 - white

1178313001 - 9.2 - white

1190500001 - 9.8 - white

1196894007 - 9.8 - white

1196901001 - 9.8 - white

1196966001 - 9.8 - white

1197833001 - 9.8 - white

1197943001 - 9.6 - white

1199022003 - 9.8 - white

1199231001 9.8 white

1217281001 9.8 white

1980335001 - 9.8 - white

 

 

 

 

 

Here is how I came about the answer:

 

 

To solve this problem, I had to freshen up on Binomial Distributions. This happens when data can go one of two ways, for example: yes or no, right or wrong, and in this case black or white. I used the follow two sites to re-educate myself:

 

http://www.sigmazone.com/binomial_confidence_interval.htm

http://books.google.com/books?id=m8rYUEWQx00C&pg=PA360&lpg=PA360&dq=binomial+distribution+margin+of+error&source=bl&ots=qG0eP3IPrb&sig=LbOZI4bceo6Pdoou8x9FBiIvdGQ&hl=en&sa=X&ei=SJ9_Upr2G8WqkAf6pICYDQ&ved=0CDkQ6AEwAg#v=onepage&q=binomial%20distribution%20margin%20of%20error&f=false

 

One of the things you can do with statistics is make statements about very large populations of data with a comparatively small amount of data. Businesses do this everyday when they do things like quality control. For example, instead of testing every item off of a production line, they grab random samples and test those. If they grab enough of them, they can be reasonable certain of the quality of all they items they produce.

 

So the first thing I wanted to was see if I had a large enough sample size (n). According to the text I read, you can calculate the sample size needed if you have a preliminary estimate for the proportion (p) that you are testing. This is the formula:

 

n = p (1 - p) (z / E)^2

 

where

p = proportion of interest

n = sample size

E = maximal error of estimate

z = “z value” for desired level of confidence

 

I initially found 132 different labels, of which 20 were black labels, so I did have an estimate: 15.15%. Using this calculation, I plugged a few numbers to see what maximal error I could have with a sample of only 132, using a desired level of confidence of 95%. Turn out it is 6.12%.

 

n = p (1 - p) (z / E)^2

n = 0.1515 (1 - 0.1515) (1.96 / .0612)

n = 131.8481

 

*z = 1.96 for 95% confidence

 

Now that I felt okay with my sample size, I needed to figure out how to calculate a confidence interval. What is a confidence interval? Well, remember that we testing a small group of data to make a reasonable estimate of the whole population of data. In statistics, this estimate is given as a range with a level of confidence. For example, "I am 95% confident that the true answer falls between 15 and 20." This is the range in which the real answer lies.

 

While not perfect, a formula used to calculate a confidence interval for binomial distributions is below. It makes a few assumptions which I will not go into (since I don't feel I can appropriately explain them), but it is a good approximation according to the text. With the current data:

 

Confidence Interval =

= p +/- z (sqrt ( p (1 - p) / n ))

= 0.1796 +/- 1.96 (sqrt (0.1796 (0.8204) / 245))

= 0.1515 +/- 0.0505

 

This means that we can be 95% confident that the true proportion of black labels falls between 13.15% and 23.77%. When multiplied by the population (7266), that gives a range of 956 to 1654.

 

 

 

Link to comment
Share on other sites
JollyComics

JollyComics

Posted
Posted (edited)

I sold WD #1 for 9 times.

 

Three 9.8s

Three 9.6s (both signatures series)

One 9.2 (signature series)

One 9.2

One raw copy (it looks 9.4)

 

There was no difference in prices as far as I remembered both have black and white Mature Readers.

Edited by JollyComics
Link to comment
Share on other sites
bffnut

bffnut

Posted
  • Author
Posted

No :sorry:

 

I changed jobs about a year ago, and my time allotted to do things like this has gone severely down! That being said, keeping track of the prices of black vs white labels is pretty tough. I can say, from personal experience, that I sold my black label at a very nice premium to GPA.

Link to comment
Share on other sites
bffnut

bffnut

Posted
  • Author
Posted

I took a quick look at completed sales, and you are correct. However, WD sales are usually depressed during the summer. (HINT: If you are looking to buy WD slabs, the summer is the best time to do so).

 

Sales that occur when WD is on air (Oct - Dec, Feb - end of season) have been a different story.

Link to comment
Share on other sites
Jaydogrules

Jaydogrules

Posted
Posted
lol

 

Even funnier is I'm looking for a low grade black label...so I will agree with you this time...

 

I accept the new information that has been put before me.

 

 

 

:jokealert:

 

No need to agree with me.

 

Agree with reality:

 

9.8-

 

http://www.ebay.com/itm/ESK013-Image-Comics-THE-WALKING-DEAD-1-1st-Rick-Grimes-CGC-9-8-NM-MT-2003-/131304179595?pt=LH_DefaultDomain_0&hash=item1e9256c78b

 

http://www.ebay.com/itm/The-Walking-Dead-1-Oct-2003-Image-CGC-9-8-Black-Mature-Reader-Label-/131552877070?pt=LH_DefaultDomain_0&hash=item1ea1299a0e

 

 

9.6-

 

http://www.ebay.com/itm/Walking-Dead-1-CGC-9-6-10-03-Image-Comics-First-Printing-RARE-HIGH-GRADE-/151715735475?pt=LH_DefaultDomain_0&hash=item2352f667b3

 

http://www.ebay.com/itm/The-Walking-Dead-1-CGC-Certified-9-6-Kirkman-Moore-Image-First-Ever-/231584755334?pt=LH_DefaultDomain_0&hash=item35eb86ee86

 

 

9.0-

 

http://www.ebay.com/itm/The-Walking-Dead-1-cgc-9-0-1st-print-Oct-2003-Image-/271922691442?pt=LH_DefaultDomain_0&hash=item3f4fdafd72

 

http://www.ebay.com/itm/The-Walking-Dead-1-Oct-2003-Image-CGC-9-0-1ST-PRINT-NO-RESERVE-/131545338382?pt=LH_DefaultDomain_0&hash=item1ea0b6920e

 

 

Raw-

 

http://www.ebay.com/itm/The-Walking-Dead-1-Oct-2003-Image-First-Print-Rare-/252004256969?pt=LH_DefaultDomain_0&hash=item3aac9fccc9

 

http://www.ebay.com/itm/The-Walking-Dead-1-Oct-2003-Image-First-Print-NM-Rare-1st-RICK-GRIMES-/261966230948?pt=LH_DefaultDomain_0&hash=item3cfe6775a4

 

 

Ouch. :eek: Looks like the "white labels" have actually been going for a little more. Fortunately, there's thousands upon thousands of both labels to go around. That will always ensure there will never be any significant or sustained differences in pricing either way.

 

 

:gossip: There's a reason why this thread was buried on page 30. ;)

 

-J.

Link to comment
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
2 2
Go to topic listing