Thai Ladyboy Thief in Pattaya (Sound Familiar Yet?)
A smoking hot ladyboy, 30 years old, caught rifling through the pockets of a young Irish laddy at the 7-11.
He chased her down and turned her in.
At the police station it almost looks like he’s checking her out… Is it just me?
Click image to see full story and 5 more photos.
Ladyboy Happy Trail

I’ve gotta admit - when I see a little happy trail on a girl - you know that spot that goes from belly-button to the nether regions - it turns me on a little bit. I don’t know where that comes from - but I think it’s from the 70’s porn I used to look at as a child. I’d find balled up magazine pages in the woods or just about anywhere in my small town. Back then a little hair was ok. Lately - I haven’t seen any happy trails.
I’m speaking only of the happy trail made of hair - not the brown one that accompanies pregnancy. There’s nothing exciting about THAT!
This ladyboy from a Bangkok cabaret seems to have a little happy trail going there. It’s not doing anything for me. I think I want to see ladyboys bald. Devoid of all hair. If they have even the slightest hair on their arms or legs I get skeeved out. However, with a girl - I can tolerate much more hair as I know it’s feminine hair…
Am I strange or is this the case for most guys that like ladyboys?
This is a Guess… Thai Ladyboys Smoke More than Thai Girls.
I’ve been mulling over one more way that you can tell a Thai ladyboy from a Thai girl more easily than sticking your hands down her pants.
I think I’m going to guess that Thai ladyboys smoke more often than the Thai girls do. That’s something that’s easier to see in a place like Udonthani in the north where there aren’t so many female sex workers - but a ton of ladyboys… it’s more difficult in a place like Pattaya where quite a few girls will smoke too.
Just a guess - anyone think differently?
Meet Your New Village Chief: Ladyboy Choochat Dulayapraphatsorn
In Samut Prakan they’ve made history by appointing the first ladyboy village chief ever.
The newly appointed is now district chief of Tai Ban Mai village in Samut Prakan just about 30 km north of Bangkok, Thailand.
He/she goes by the name “Sister KOB”. Is that name appropriate or what? Like corn on the cob you know? Man the more I think about that I LOVE that name.
Choochat stated that he thought he won the election because he had a good record of serving the community including crime prevention and catching pythons (huge snakes) that have entered people’s homes among other good deeds.
“I’m confident that everyone here loves and accepts me,” Choochat told the Bangkok Post. “Even though I am a transvestite, I can do hard, physical jobs just as well as men if not better,” he added.
So there you have it. I’m not sure I could see this happening stateside. Of course the voters wouldn’t likely vote a transsexual into office either. Maybe it’s been done already? I really should research that…
Thai Ladyboys - Katoeys Serves 144 Countries in 30 days!
Country /
Visits / Pages / Time on site / % New Visits / Bounce rate
1.
United States
3,442 2.01 00:01:39 86.96% 67.20%
2.
United Kingdom
1,436 1.89 00:01:28 86.28% 66.85%
3.
Thailand
753 2.21 00:01:57 86.06% 64.94%
4.
Germany
662 1.96 00:01:40 90.48% 64.95%
5.
Australia
656 1.98 00:01:51 83.69% 66.16%
6.
France
559 2.11 00:01:32 86.40% 62.25%
7.
Canada
444 2.08 00:01:28 91.22% 68.47%
8.
Italy
391 1.94 00:01:14 83.63% 65.73%
9.
Spain
372 1.85 00:01:00 73.39% 71.51%
10.
Turkey
309 1.85 00:01:14 89.32% 64.40%
11.
Brazil
237 1.58 00:01:00 88.19% 73.84%
12.
Netherlands
235 1.98 00:01:49 82.13% 64.26%
13.
Saudi Arabia
189 2.71 00:02:47 74.07% 52.91%
14.
Singapore
184 1.91 00:02:09 88.59% 62.50%
15.
China
175 2.10 00:02:20 85.71% 65.14%
16.
Belgium
174 2.13 00:01:32 89.08% 62.64%
17.
Ireland
173 2.35 00:01:57 89.60% 63.58%
18.
Malaysia
170 1.79 00:01:40 85.29% 65.88%
19.
Japan
167 3.07 00:02:45 80.24% 62.87%
20.
Switzerland
162 1.96 00:01:33 90.74% 66.05%
21.
India
148 2.75 00:03:27 92.57% 57.43%
22.
Sweden
140 1.98 00:01:11 86.43% 60.00%
23.
United Arab Emirates
136 2.64 00:03:52 78.68% 53.68%
24.
Norway
134 1.98 00:02:04 83.58% 66.42%
25.
Mexico
131 2.50 00:01:40 93.13% 63.36%
26.
Indonesia
126 2.25 00:03:40 66.67% 54.76%
27.
New Zealand
104 2.02 00:03:05 84.62% 68.27%
28.
Greece
103 1.71 00:01:55 92.23% 70.87%
29.
Denmark
96 1.76 00:00:45 88.54% 61.46%
30.
Argentina
84 1.71 00:00:34 95.24% 79.76%
31.
Austria
80 1.41 00:00:25 87.50% 81.25%
32.
Vietnam
66 1.62 00:01:18 83.33% 63.64%
33.
Hong Kong
64 2.22 00:01:49 93.75% 67.19%
34.
South Korea
60 1.85 00:01:58 88.33% 65.00%
35.
Finland
59 2.68 00:02:21 94.92% 52.54%
36.
Philippines
55 1.80 00:01:47 81.82% 72.73%
37.
Poland
53 1.74 00:00:56 94.34% 66.04%
38.
Israel
52 2.25 00:02:42 90.38% 73.08%
39.
Kuwait
45 3.44 00:02:26 80.00% 46.67%
40.
Colombia
43 1.51 00:00:33 88.37% 62.79%
41.
Chile
41 1.85 00:01:02 97.56% 68.29%
42.
Russia
40 1.32 00:00:27 95.00% 77.50%
43.
Qatar
39 2.72 00:02:17 71.79% 61.54%
44.
Hungary
38 1.55 00:00:52 86.84% 65.79%
45.
South Africa
37 1.78 00:01:58 97.30% 64.86%
46.
Portugal
33 1.91 00:00:42 93.94% 54.55%
47.
Taiwan
29 1.97 00:01:11 89.66% 58.62%
48.
Venezuela
29 1.52 00:01:08 93.10% 75.86%
49.
Czech Republic
27 1.81 00:02:06 66.67% 81.48%
50.
Oman
23 2.65 00:04:09 82.61% 34.78%
51.
Egypt
22 1.59 00:02:19 90.91% 54.55%
52.
Morocco
22 2.59 00:04:42 86.36% 68.18%
53.
Bahrain
21 2.81 00:01:33 100.00% 76.19%
54.
Romania
20 1.25 00:00:10 90.00% 80.00%
55.
Cyprus
20 1.65 00:00:34 80.00% 65.00%
56.
Peru
19 1.42 00:00:34 100.00% 73.68%
57.
Ukraine
19 1.74 00:02:26 94.74% 47.37%
58.
Serbia
18 2.06 00:02:08 88.89% 55.56%
59.
Sri Lanka
18 1.78 00:02:18 77.78% 61.11%
60.
Lebanon
16 2.00 00:01:46 87.50% 43.75%
61.
Croatia
16 1.19 00:01:25 100.00% 87.50%
62.
Lithuania
15 2.27 00:00:36 80.00% 73.33%
63.
Iceland
15 1.33 00:00:09 46.67% 80.00%
64.
(not set)
15 1.47 00:00:34 100.00% 80.00%
65.
Uruguay
14 1.29 00:00:18 92.86% 78.57%
66.
Bulgaria
14 1.50 00:00:13 92.86% 71.43%
67.
Pakistan
14 1.64 00:00:30 85.71% 64.29%
68.
Slovenia
11 2.09 00:05:28 90.91% 72.73%
69.
Iran
11 1.91 00:02:48 81.82% 63.64%
70.
Dominican Republic
10 1.80 00:00:48 80.00% 70.00%
71.
Algeria
10 1.10 00:00:09 100.00% 90.00%
72.
Mauritius
9 2.89 00:04:57 77.78% 33.33%
73.
Malta
9 1.67 00:00:24 100.00% 66.67%
74.
Sudan
9 1.56 00:00:19 88.89% 77.78%
75.
Costa Rica
8 2.88 00:03:41 100.00% 50.00%
76.
Bosnia and Herzegovina
7 2.14 00:01:40 100.00% 57.14%
77.
Slovakia
7 1.00 00:00:00 100.00% 100.00%
78.
Ecuador
7 1.57 00:02:58 100.00% 57.14%
79.
Panama
7 2.71 00:00:48 85.71% 42.86%
80.
Guatemala
7 3.86 00:03:40 100.00% 28.57%
81.
Brunei
6 1.33 00:01:03 100.00% 66.67%
82.
Luxembourg
6 1.67 00:00:15 100.00% 83.33%
83.
Georgia
6 1.17 00:00:05 50.00% 83.33%
84.
Trinidad and Tobago
6 1.33 00:00:30 83.33% 66.67%
85.
Reunion
6 1.00 00:00:00 100.00% 100.00%
86.
Laos
6 3.00 00:06:35 100.00% 0.00%
87.
Maldives
6 2.00 00:05:21 83.33% 66.67%
88.
Cambodia
6 5.83 00:02:38 100.00% 83.33%
89.
Kenya
5 1.20 00:00:32 100.00% 80.00%
90.
Iraq
5 1.00 00:00:00 100.00% 100.00%
91.
Puerto Rico
5 1.00 00:00:00 100.00% 100.00%
92.
Fiji
5 3.60 00:04:09 80.00% 60.00%
93.
Jordan
5 3.00 00:04:56 80.00% 60.00%
94.
Greenland
5 1.40 00:01:30 40.00% 60.00%
95.
Bolivia
4 1.50 00:00:35 75.00% 50.00%
96.
Latvia
4 2.50 00:02:18 75.00% 50.00%
97.
Jamaica
4 1.25 00:00:22 75.00% 75.00%
98.
Macao
4 2.75 00:00:57 100.00% 50.00%
99.
French Polynesia
4 3.00 00:02:44 50.00% 50.00%
100.
Nigeria
4 1.25 00:00:13 100.00% 75.00%
101.
Estonia
4 1.25 00:00:15 75.00% 75.00%
102.
Bangladesh
4 1.00 00:00:00 100.00% 100.00%
103.
Myanmar
4 14.25 00:25:33 75.00% 50.00%
104.
Senegal
4 1.50 00:00:30 75.00% 75.00%
105.
Guam
3 1.67 00:01:36 100.00% 33.33%
106.
Honduras
3 1.33 00:00:15 100.00% 66.67%
107.
El Salvador
3 2.00 00:02:46 100.00% 66.67%
108.
East Timor
3 1.67 00:05:46 100.00% 66.67%
109.
Nicaragua
3 1.33 00:00:05 66.67% 66.67%
110.
Afghanistan
3 1.00 00:00:00 66.67% 100.00%
111.
New Caledonia
3 1.67 00:00:44 100.00% 66.67%
112.
Andorra
3 1.33 00:00:04 100.00% 66.67%
113.
Mozambique
3 2.67 00:04:13 100.00% 33.33%
114.
Azerbaijan
3 1.00 00:00:00 100.00% 100.00%
115.
Faroe Islands
3 1.00 00:00:00 66.67% 100.00%
116.
Belarus
3 2.00 00:00:32 100.00% 66.67%
117.
Nepal
3 2.33 00:06:52 100.00% 33.33%
118.
Guadeloupe
2 3.00 00:01:15 50.00% 50.00%
119.
Paraguay
2 1.50 00:00:23 100.00% 50.00%
120.
Dominica
2 2.50 00:14:31 100.00% 50.00%
121.
Libya
2 1.00 00:00:00 100.00% 100.00%
122.
Netherlands Antilles
2 1.00 00:00:00 100.00% 100.00%
123.
Martinique
2 1.00 00:00:00 100.00% 100.00%
124.
Mauritania
2 2.00 00:04:22 100.00% 50.00%
125.
Kazakhstan
2 2.00 00:16:27 100.00% 0.00%
126.
Antigua and Barbuda
2 17.50 00:12:18 100.00% 50.00%
127.
Ghana
2 1.00 00:00:00 100.00% 100.00%
128.
Macedonia
1 4.00 00:00:48 100.00% 0.00%
129.
Bermuda
1 1.00 00:00:00 100.00% 100.00%
130.
Saint Lucia
1 2.00 00:01:22 100.00% 0.00%
131.
Angola
1 2.00 00:01:09 100.00% 0.00%
132.
Palestinian Territory
1 2.00 00:00:27 100.00% 0.00%
133.
Bhutan
1 1.00 00:00:00 100.00% 100.00%
134.
Northern Mariana Islands
1 2.00 00:00:09 100.00% 0.00%
135.
San Marino
1 1.00 00:00:00 100.00% 100.00%
136.
Armenia
1 1.00 00:00:00 100.00% 100.00%
137.
Mayotte
1 1.00 00:00:00 100.00% 100.00%
138.
Tanzania
1 2.00 00:11:05 100.00% 0.00%
139.
French Guiana
1 3.00 00:00:59 100.00% 0.00%
140.
Haiti
1 1.00 00:00:00 100.00% 100.00%
141.
Gabon
1 1.00 00:00:00 100.00% 100.00%
142.
Cook Islands
1 2.00 00:00:47 100.00% 0.00%
143.
Namibia
1 1.00 00:00:00 100.00% 100.00%
144.
Seychelles
1

