The Original O'l Farts Club.

[Yarddog]

Man it’s hard to do the right thing sometimes. Was going to eat a banana and a glass of milk before bed. I’ve been fighting it all day. I grabbed a snack cake to eat too. Sugar is the hardest thing to quit.
Now I want another. The struggle is real.

 

[Gray Wolf]

Good night ya'll!

 

[bigsur51]

keeping the floor of the forest clean

 

[dogzter]

keeping the floor of the forest clean



View attachment 19140853

View attachment 19140855

Good a burn pile setup today myself next night it snows I am gonna fire it up and have some fun.

 

[bigsur51]

Good a burn pile setup today myself next night it snows I am gonna fire it up and have some fun.

nothing like a good fire to keep a spark between us

 

[Putembk]

Smells good in here

 

[Putembk]

Jeremiah Johnson

 

[Absorber]

Jeremiah Johnson

View attachment 19140868

But can he skin a grizz

 

[Dime]

Jeremiah Johnson

View attachment 19140868

Great movie. Almost time to watch it again,anything with Redford was good.

 

[Countryboy]

But can he skin a grizz

 

[Dime]

I loved All is lost.

 

[Countryboy]

 

[Countryboy]

That's a wrap:

 

[Dime]

Trapped miners ‘resort to cannibalism’ after police block their food and water

The two survivors speak quietly as they recount how emaciated miners broke the ultimate taboo to avoid dying of hunger.

www.yahoo.com

 

[Ttystikk]

My buddys Mr's works for the NY Blood bank for 38 years and he told me they hacked the blood bank computers and are looking for ransom

That's putting people's lives at risk just to extort a few bucks.

I would put a lot of resources into finding THOSE clowns.

 

[Goldhedge]

If you aren't stoned, you will be:

The missile knows where it is at all times. It knows this because it knows where it isn't. By subtracting where it is from where it isn't, or where it isn't from where it is (whichever is greater), it obtains a difference, or deviation.

The guidance subsystem uses deviations to generate corrective commands to drive the missile from a position where it is to a position where it isn't, and arriving at a position where it wasn't, it now is. Consequently, the position where it is, is now the position that it wasn't, and it follows that the position that it was, is now the position that it isn't.

In the event that the position that it is in is not the position that it wasn't, the system has acquired a variation, the variation being the difference between where the missile is, and where it wasn't. If variation is considered to be a significant factor, it too may be corrected by the GEA.

However, the missile must also know where it was. The missile guidance computer scenario works as follows. Because a variation has modified some of the information the missile has obtained, it is not sure just where it is.

However, it is sure where it isn't, within reason, and it knows where it was. It now subtracts where it should be from where it wasn't, or vice-versa, and by differentiating this from the algebraic sum of where it shouldn't be, and where it was, it is able to obtain the deviation and its variation, which is called error.

Good night.

 

[Boo]

missles shmisslles, I got snacks...mmm

 

[Gypsy Nirvana]

Obesity rates:
The US obesity rate is 35%.

The UK's is 26%.




Adults Children
Males Females Both

#	Country	Income group	% obesity
1	American Samoa	High income	70.29
2	Nauru	High income	69.65
3	Tokelau		67.05
4	Cook Islands		66.05
5	Niue		63.71
6	Tonga	Upper-middle income	63.37
7	Tuvalu	Upper-middle income	57.73
8	Samoa	Lower-middle income	52.83
9	French Polynesia	High income	47.02
10	United States	High income	41.64
11	Qatar	High income	40.79
12	Bahamas	High income	39.78
13	Palau	High income	39.10
14	Federated States of Micronesia	Lower-middle income	39.02
15	Kuwait	High income	38.88
16	Romania	High income	38.34
17	Saudi Arabia	High income	38.13
18	Marshall Islands	Upper-middle income	38.09
19	Saint Kitts and Nevis	High income	37.59
20	Puerto Rico	High income	36.46
21	Hungary	High income	36.43
22	Kiribati	Lower-middle income	36.08
23	Malta	High income	36.02
24	Argentina	Upper-middle income	35.53
25	Croatia	High income	34.80
26	Georgia	Upper-middle income	34.34
27	Jordan	Lower-middle income	34.20
28	Chile	High income	34.10
29	Belize	Upper-middle income	33.62
30	Iraq	Upper-middle income	33.35
31	New Zealand	High income	32.99
32	Bahrain	High income	32.91
33	Egypt	Lower-middle income	32.48
34	Mexico	Upper-middle income	32.22
35	Poland	High income	32.19
36	Australia	High income	32.05
37	Uruguay	High income	31.64
38	Slovakia	High income	31.42
39	Paraguay	Upper-middle income	30.76
40	Czechia	High income	30.72
41	Ireland	High income	30.70
42	Brunei Darussalam	High income	30.22
43	Greece	High income	30.06
44	Panama	High income	29.88
45	Palestine	Lower-middle income	29.77
46	Lebanon	Lower-middle income	29.53
47	North Macedonia	Upper-middle income	29.11
48	United Arab Emirates	High income	29.02
49	Nicaragua	Lower-middle income	28.68
50	Canada	High income	28.16
51	Libya	Upper-middle income	28.08
52	Uzbekistan	Lower-middle income	27.88
53	Lithuania	High income	27.87
54	Barbados	High income	27.78
55	United Kingdom	High income	26.94
56	Oman	High income	26.79
57	Syrian Arab Republic	Low income	26.71
58	Fiji	Upper-middle income	26.62
59	Serbia	Upper-middle income	26.44
60	Turkey	Upper-middle income	26.22
61	Cyprus	High income	26.18
62	Latvia	High income	25.72
63	Slovenia	High income	25.66
64	Costa Rica	Upper-middle income	25.55
65	Brazil	Upper-middle income	25.05
66	Kyrgyzstan	Lower-middle income	24.96
67	Bermuda	High income	24.47
68	Antigua and Barbuda	High income	24.40
69	Greenland	High income	24.37
70	Russian Federation	High income	24.34
71	Bulgaria	High income	24.08
72	Dominican Republic	Upper-middle income	24.02
73	Israel	High income	23.81
74	Iceland	High income	23.64
75	Peru	Upper-middle income	23.62
76	Honduras	Lower-middle income	23.59
77	El Salvador	Upper-middle income	23.44
78	Bolivia	Lower-middle income	23.41
79	Estonia	High income	23.37
80	Germany	High income	23.08
81	Ecuador	Upper-middle income	23.06
82	Trinidad and Tobago	High income	22.99
83	Guatemala	Upper-middle income	22.62
84	Mongolia	Upper-middle income	22.46
85	Bosnia and Herzegovina	Upper-middle income	22.41
86	Albania	Upper-middle income	22.27
87	Moldova	Upper-middle income	22.01
88	Portugal	High income	21.97
89	Finland	High income	21.88
90	Montenegro	Upper-middle income	21.35
91	Andorra	High income	21.06
92	Luxembourg	High income	20.99
93	Norway	High income	20.93
94	Saint Lucia	Upper-middle income	20.87
95	Venezuela		20.82
96	Ukraine	Upper-middle income	20.77
97	Seychelles	High income	20.58
98	Tajikistan	Lower-middle income	20.57
99	Pakistan	Lower-middle income	20.49
100	Azerbaijan	Upper-middle income	20.39
101	Belarus	Upper-middle income	20.13
102	Tunisia	Lower-middle income	19.92
103	Armenia	Upper-middle income	19.81
104	Belgium	High income	19.79
105	Suriname	Upper-middle income	19.67
106	Turkmenistan	Upper-middle income	19.60
107	Spain	High income	19.39
108	Saint Vincent and the Grenadines	Upper-middle income	19.23
109	Jamaica	Upper-middle income	19.21
110	Cuba	Upper-middle income	19.19
111	Kazakhstan	Upper-middle income	19.07
112	Grenada	Upper-middle income	19.06
113	Austria	High income	18.81
114	Colombia	Upper-middle income	18.58
115	Dominica	Upper-middle income	18.38
116	Iran	Upper-middle income	18.26
117	Solomon Islands	Lower-middle income	18.13
118	Guyana	High income	18.10
119	Italy	High income	17.97
120	Malaysia	Upper-middle income	17.70
121	Sweden	High income	17.18
122	Vanuatu	Lower-middle income	17.04
123	Papua New Guinea	Lower-middle income	16.61
124	Singapore	High income	16.09
125	Algeria	Upper-middle income	16.03
126	Denmark	High income	15.70
127	Eswatini	Lower-middle income	15.62
128	Switzerland	High income	15.07
129	Netherlands	High income	15.05
130	Afghanistan	Low income	14.88
131	South Africa	Upper-middle income	14.50
132	Morocco	Lower-middle income	13.79
133	Maldives	Upper-middle income	13.23
134	Mauritius	Upper-middle income	13.07
135	Liberia	Low income	13.05
136	Taiwan	High income	12.44
137	Thailand	Upper-middle income	12.10
138	Sudan	Low income	11.74
139	Gabon	Upper-middle income	11.41
140	Namibia	Upper-middle income	10.65
141	Yemen	Low income	10.49
142	Mali	Low income	10.24
143	France	High income	10.18
144	Sao Tome and Principe	Lower-middle income	10.06
145	Gambia	Low income	9.77
146	Cameroon	Lower-middle income	9.69
147	Bhutan	Lower-middle income	9.61
148	Mauritania	Lower-middle income	9.25
149	China	Upper-middle income	8.94
150	Lesotho	Lower-middle income	8.82
151	South Korea	High income	8.82
152	Cabo Verde	Lower-middle income	8.79
153	Botswana	Upper-middle income	8.76
154	North Korea	Low income	8.65
155	Nigeria	Lower-middle income	8.52
156	Comoros	Lower-middle income	8.31
157	Equatorial Guinea	Upper-middle income	8.08
158	Cote d'Ivoire	Lower-middle income	7.95
159	Guinea-Bissau	Low income	7.86
160	Chad	Low income	7.71
161	Japan	High income	7.63
162	Benin	Lower-middle income	7.41
163	Philippines	Lower-middle income	7.34
164	Sri Lanka	Lower-middle income	6.76
165	Haiti	Lower-middle income	6.73
166	Tanzania	Lower-middle income	6.73
167	Angola	Lower-middle income	6.53
168	Indonesia	Upper-middle income	6.53
169	Mozambique	Low income	6.50
170	Burundi	Low income	6.36
171	Djibouti	Lower-middle income	6.35
172	Central African Republic	Low income	6.33
173	Kenya	Lower-middle income	6.32
174	Guinea	Lower-middle income	6.16
175	Somalia	Low income	6.07
176	Laos	Lower-middle income	6.06
177	Togo	Low income	5.88
178	Zimbabwe	Lower-middle income	5.73
179	Myanmar	Lower-middle income	5.67
180	India	Lower-middle income	5.38
181	Ghana	Lower-middle income	5.37
182	Zambia	Lower-middle income	5.34
183	South Sudan	Low income	5.32
184	Nepal	Lower-middle income	4.97
185	Madagascar	Low income	4.63
186	Niger	Low income	4.51
187	Congo	Lower-middle income	4.38
188	Democratic Republic of Congo	Low income	4.38
189	Uganda	Low income	4.25
190	Burkina Faso	Low income	4.17
191	Senegal	Lower-middle income	4.06
192	Malawi	Low income	3.21
193	Cambodia	Lower-middle income	3.12
194	Bangladesh	Lower-middle income	2.97
195	Eritrea	Low income	2.93
196	Sierra Leone	Low income	2.79
197	Vietnam	Lower-middle income	1.97
198	Rwanda	Low income	1.84
199	Timor-Leste	Lower-middle income	1.58
200	Ethiopia	Low income	1.10

In the UK they measure if you are fat/obese via the Body Mass Index (BMI) - and at 5ft 11 inches tall (used to be 6ft) - and weighing around 215lbs lately - makes me obese (according to the BMI) - but I have a 34inch waist and a 48 inch chest = a muscular body - with just 14% bodyfat - so this BMI measurement is not a good indicator of whether or not you are overweight/obese - because it doesn't allow for muscle mass - and the weight of that -

 

[cola]

Nvidia shares took a 600 Billion dollar wipe-out yesterday (Monday) in the largest single one day valuation drop of any stock in US history. China announced the launch of a startup (Deepseek) that can provide AI for pennies as compared to Nvidia's multi dollars. Additionally, it requires a fraction of the energy of any US based AI to date. Turned most of the notions regarding AI energy utilization and AI outsourcing business costs on its head. From the look of the chart (I could easily be wrong) it does not appear that those shorting this stock in advance were in any rush to cover their positions. Tomorrow is another day but I would not be surprised if this did not turn out in total to be a Trillion dollar plus haircut.

 

[cola]

View attachment 19140901

Nvidia shares took a 600 Billion dollar wipe-out yesterday (Monday) in the largest single one day valuation drop of any stock in US history. China announced the launch of a startup (Deepseek) that can provide AI for pennies as compared to Nvidia's multi dollars. Additionally, it requires a fraction of the energy of any US based AI to date. Turned most of the notions regarding AI energy utilization and AI outsourcing business costs on its head. From the look of the chart (I could easily be wrong) it does not appear that those shorting this stock in advance were in any rush to cover their positions. Tomorrow is another day but I would not be surprised if this did not turn out in total to be a Trillion dollar plus haircut.

As an aside it will be interesting now to see how the "January Effect" plays out, since as of yesterday the S&P 500 is below where it started the year. History shows that a losing January portends to losing stock market gains for the year.