1
00:00:00,080 --> 00:00:02,960
Leading into Black Friday, we 
saw a lot of videos like this 

2
00:00:02,960 --> 00:00:04,200
one, guys. 
Check this out. 

3
00:00:05,680 --> 00:00:08,080
Where is everybody? 
Like, there's nobody here. 

4
00:00:08,080 --> 00:00:11,640
Dude, what the Is this Black 
Friday for real? 

5
00:00:12,360 --> 00:00:14,840
Guys, the line at Starbucks is 
longer than. 

6
00:00:15,600 --> 00:00:20,560
Any other line. 
Apparently coffee is the hot 

7
00:00:20,560 --> 00:00:23,800
ticket item this Black Friday. 
I'm just absolutely mind blown. 

8
00:00:24,680 --> 00:00:26,840
Guys, there's nobody here. 
Look at the. 

9
00:00:26,840 --> 00:00:29,560
Line Starbucks, Starbucks is is 
busy. 

10
00:00:30,240 --> 00:00:33,080
The rest of Target dead. 
Nothing was selling Black 

11
00:00:33,080 --> 00:00:34,760
Friday. 
It was going to be a failure. 

12
00:00:34,920 --> 00:00:37,920
Shopping mall centers are 
entirely empty on Black Friday, 

13
00:00:37,920 --> 00:00:40,640
even the day after Black Friday.
We have companies like Best Buy 

14
00:00:40,640 --> 00:00:43,040
with too many TV's. 
They've gone unsold. 

15
00:00:43,240 --> 00:00:45,240
They couldn't clear up their 
inventory. 

16
00:00:45,520 --> 00:00:48,760
They literally have stacks of 
TV's, entire aisles of TV's that

17
00:00:48,760 --> 00:00:50,800
have gone unsold. 
Now, I saw a lot of these videos

18
00:00:50,800 --> 00:00:53,480
highlighting how slow Black 
Friday was, how nobody was 

19
00:00:53,480 --> 00:00:56,800
excited about the shopping 
holiday, and how your companies,

20
00:00:57,200 --> 00:00:59,920
your stocks, and the economy are
going to be doing poorly. 

21
00:01:00,000 --> 00:01:03,200
The consumer is exhausted. 
They've extinguished all of 

22
00:01:03,200 --> 00:01:05,440
their spending power. 
But what if I told you there's a

23
00:01:05,440 --> 00:01:08,000
different answer here, a 
different part of the story not 

24
00:01:08,000 --> 00:01:10,200
being shared. 
Here's Amazon, for example, 

25
00:01:10,200 --> 00:01:11,920
explaining how their Black 
Friday went. 

26
00:01:12,040 --> 00:01:14,960
We. 
Had a huge Black Friday last 

27
00:01:14,960 --> 00:01:18,480
week and in fact it was our 
highest sales. 

28
00:01:18,480 --> 00:01:22,680
Most items sold Black Friday in 
Amazon's entire history. 

29
00:01:23,000 --> 00:01:25,040
So very excited about that as 
you said. 

30
00:01:25,400 --> 00:01:29,080
On average, customers ordered 
more than 1000 items per second 

31
00:01:29,280 --> 00:01:31,840
throughout the day, she says. 
This was their biggest Black 

32
00:01:31,840 --> 00:01:36,640
Friday ever, and they sold, 
quote, 1000 items per second, 

33
00:01:36,920 --> 00:01:40,080
not per minute, but per second 
all of Black Friday. 

34
00:01:40,120 --> 00:01:42,560
Shopify also has something to 
say about Black Friday. 

35
00:01:43,280 --> 00:01:47,120
We saw peak sales per minute 
globally on Black Friday was 4.2

36
00:01:47,120 --> 00:01:50,560
million per minute. 
That was right around noon on 

37
00:01:50,560 --> 00:01:54,480
Friday, 12 O1 Eastern Time. 
And last, just to compare, last 

38
00:01:54,480 --> 00:01:56,600
year peak sales permitted 
globally on Black Friday was 

39
00:01:56,600 --> 00:01:59,120
about 3.5 million around the 
same time. 

40
00:01:59,440 --> 00:02:03,640
But in total, in aggregate we 
saw but $4.1 billion sold on 

41
00:02:03,640 --> 00:02:06,400
Black Friday. 
That's a 22% increase since the 

42
00:02:06,400 --> 00:02:08,759
last year's Black Friday, which 
is about 3.36. 

43
00:02:08,880 --> 00:02:11,960
They also hit record high Black 
Friday sales, and in aggregate, 

44
00:02:11,960 --> 00:02:14,400
it does seem like Black Friday 
shopping was a success. 

45
00:02:14,400 --> 00:02:18,080
It was up 7.5% over last year, 
according to Adobe Analytics. 

46
00:02:18,080 --> 00:02:20,880
Now we also have the frustrating
news for the bears that the 

47
00:02:20,880 --> 00:02:24,160
market is not dropping. 
It continues to surge upwards 

48
00:02:24,160 --> 00:02:26,520
and there's reason to believe 
that this may be sustained. 

49
00:02:26,680 --> 00:02:29,480
Investors today are holding 
record high cash balances. 

50
00:02:29,480 --> 00:02:32,200
And then finally Elizabeth 
Warren took to X, formerly 

51
00:02:32,200 --> 00:02:36,360
Twitter to post that there is 
now a sandwich shop monopoly. 

52
00:02:36,760 --> 00:02:38,720
You heard that right. 
We're talking about Subway 

53
00:02:38,720 --> 00:02:41,560
sandwich and Jimmy John's. 
They have formed a sandwich shop

54
00:02:41,560 --> 00:02:43,680
monopoly and they need to be 
stopped by the government. 

55
00:02:43,760 --> 00:02:45,360
So as always, we have a lot to 
get to. 

56
00:02:45,360 --> 00:02:47,400
Let's go ahead and jump in. 
Now I want to start off by 

57
00:02:47,400 --> 00:02:49,680
taking a look at the Black 
Friday predictions. 

58
00:02:49,960 --> 00:02:52,880
We had a lot of videos like the 
Surface over the weekend. 

59
00:02:52,880 --> 00:02:56,320
If you're online, a lot of these
type of videos were trending 

60
00:02:56,320 --> 00:02:58,760
where. 
Is everybody like, there's 

61
00:02:58,760 --> 00:03:01,960
nobody here? 
Dude, what the Is this Black 

62
00:03:01,960 --> 00:03:05,400
Friday for real? 
Guys, the line at Starbucks is 

63
00:03:05,400 --> 00:03:09,320
longer than. 
Any other live these videos show

64
00:03:09,320 --> 00:03:13,120
an empty Target at 6:00 AM. 
This is Black Friday morning and

65
00:03:13,120 --> 00:03:15,800
traditionally this type of 
holiday brings a lot of 

66
00:03:15,800 --> 00:03:17,480
shoppers. 
They surge in they look for 

67
00:03:17,480 --> 00:03:19,120
deals. 
In fact, I remember back in 

68
00:03:19,120 --> 00:03:23,720
2014, 2015, that Black Friday 
resulted in people literally 

69
00:03:23,720 --> 00:03:26,840
struggling for deals. 
They were reaching over each 

70
00:03:26,840 --> 00:03:28,360
other. 
They're trying to grab packages 

71
00:03:28,360 --> 00:03:30,240
from each other. 
We've all seen them before. 

72
00:03:30,240 --> 00:03:33,280
The video and images of people 
fighting over saving a few 

73
00:03:33,280 --> 00:03:36,280
dollars on a smart TV, well, now
we're seeing videos of empty 

74
00:03:36,280 --> 00:03:38,040
stores and overstocked 
merchandise. 

75
00:03:38,040 --> 00:03:40,680
So what's going on here? 
Watching these type of videos is

76
00:03:40,680 --> 00:03:43,040
very misleading and it doesn't 
paint an accurate picture of 

77
00:03:43,040 --> 00:03:44,400
what's going on with the 
economy. 

78
00:03:44,640 --> 00:03:47,360
There's a couple key things that
have affected Black Friday 

79
00:03:47,360 --> 00:03:50,360
shopping this year. 
The first thing impacting lower 

80
00:03:50,360 --> 00:03:53,760
store traffic this year, 
especially in retail locations, 

81
00:03:54,200 --> 00:03:57,360
is the deals have been extended 
outside of a single day. 

82
00:03:57,360 --> 00:04:00,160
A lot of these retailers are 
offering their deals ahead of 

83
00:04:00,160 --> 00:04:02,560
Black Friday. 
They started on Thursday or they

84
00:04:02,560 --> 00:04:05,160
start Black Friday sales earlier
in the week. 

85
00:04:05,360 --> 00:04:08,480
This, of course is going to 
affect in store traffic because 

86
00:04:08,480 --> 00:04:10,640
the deals are being extended out
of a single day. 

87
00:04:10,880 --> 00:04:13,640
It makes it so there's less of a
rush in that single day to get 

88
00:04:13,640 --> 00:04:15,200
an item. 
And on top of that, many 

89
00:04:15,200 --> 00:04:18,320
retailers like Best Buy and 
Target are offering price 

90
00:04:18,320 --> 00:04:21,360
protection through most of the 
holiday shopping season as well.

91
00:04:21,360 --> 00:04:24,120
So even if you bought the item 
earlier at a higher price 

92
00:04:24,120 --> 00:04:27,160
outside of the deal, you can 
retroactively get the deal. 

93
00:04:27,200 --> 00:04:29,800
So obviously when Target's 
offering buyers protection and 

94
00:04:29,800 --> 00:04:32,680
expanding the holiday outside of
Black Friday, it doesn't create 

95
00:04:32,680 --> 00:04:35,000
as much shopping urgency on the 
day itself. 

96
00:04:35,240 --> 00:04:37,520
So in terms of Best Buy and 
Target, these companies aren't 

97
00:04:37,520 --> 00:04:40,440
seeing a rush of shoppers racing
for deals because they've 

98
00:04:40,440 --> 00:04:42,960
expanded those deals all 
throughout the holiday season. 

99
00:04:42,960 --> 00:04:45,000
Now, I don't invest in Target or
Best Buy. 

100
00:04:45,000 --> 00:04:47,880
The only physical retailer that 
I own is Costco. 

101
00:04:47,920 --> 00:04:49,840
That's my pick. 
I think it's the best physical 

102
00:04:49,840 --> 00:04:52,320
retailer now. 
I went to Costco on Saturday 

103
00:04:52,320 --> 00:04:55,120
following Black Friday and it 
was packed, but that was no 

104
00:04:55,120 --> 00:04:56,920
surprise because it's packed 
every weekend. 

105
00:04:57,040 --> 00:04:59,640
So I'm not sure if Black Friday 
impacted Costco at all. 

106
00:04:59,760 --> 00:05:02,040
But outside of the fact that 
sales have now been expanded to 

107
00:05:02,040 --> 00:05:04,360
multiple days, they're not just 
on Black Friday. 

108
00:05:04,600 --> 00:05:07,720
I think there's another big 
factor leading to lower traffic 

109
00:05:07,720 --> 00:05:10,880
in store, and this is the 
biggest factor overall. 

110
00:05:10,960 --> 00:05:14,520
People are not buying as much 
stuff in stores as they were two

111
00:05:14,520 --> 00:05:17,600
years ago or five years ago or 
10 years ago. 

112
00:05:17,680 --> 00:05:19,520
Online sales is taking market 
share. 

113
00:05:19,520 --> 00:05:21,360
We can take a look at Amazon, 
for example. 

114
00:05:21,360 --> 00:05:25,080
If we look at just the revenue 
incremental gain from 2020 to 

115
00:05:25,080 --> 00:05:30,600
2022, the revenue went from 
almost $400 billion to over $500

116
00:05:30,600 --> 00:05:33,480
billion. 
So they gained roughly $100 

117
00:05:33,480 --> 00:05:37,720
billion in these two years, $100
billion is about the same amount

118
00:05:37,720 --> 00:05:40,400
of revenue that Target does per 
year. 

119
00:05:40,760 --> 00:05:44,760
So they gained an incremental 
target in a two year period. 

120
00:05:44,840 --> 00:05:47,760
Now a portion of this of course 
is AWS, another portion is 

121
00:05:47,760 --> 00:05:50,280
advertising, but most of this 
revenue comes from online 

122
00:05:50,280 --> 00:05:52,440
retail. 
Online retailers like Amazon and

123
00:05:52,440 --> 00:05:56,080
Shopify continue to gain market 
share every single year against 

124
00:05:56,080 --> 00:05:57,840
their physical retailer 
counterparts. 

125
00:05:57,840 --> 00:06:00,520
That's why these companies are 
up two and 5% today, and the 

126
00:06:00,520 --> 00:06:03,480
statistics that Amazon shares 
this year are incredible. 

127
00:06:03,760 --> 00:06:06,200
Here's one of the spokesperson 
from Amazon's warehouse. 

128
00:06:06,320 --> 00:06:10,120
On average, customers ordered 
more than 1000 items per second 

129
00:06:10,280 --> 00:06:14,040
throughout the day and our top 
selling categories included 

130
00:06:14,040 --> 00:06:18,600
home, kitchen, toys and beauty. 
I'm going to share a few of our 

131
00:06:18,600 --> 00:06:23,840
top selling items as well. 
Those were Amazon Fire TV 

132
00:06:23,840 --> 00:06:25,560
sticks. 
Those are always popular. 

133
00:06:26,040 --> 00:06:28,640
This next one I'm really excited
about because it's from a small 

134
00:06:28,640 --> 00:06:31,320
business seller. 
It's a really fun game called. 

135
00:06:31,880 --> 00:06:34,880
Taco Cat, Goat, Cheese, pizza. 
Check it out. 

136
00:06:35,200 --> 00:06:37,800
And on Prime Video. 
Our top selling movies were 

137
00:06:37,800 --> 00:06:40,640
Barbie, Oppenheimer, and the 
latest Mission Impossible. 

138
00:06:40,880 --> 00:06:43,000
Now Amazon didn't give a lot of 
stats here. 

139
00:06:43,000 --> 00:06:46,480
They said that they sold 1000 
items per second on Black 

140
00:06:46,480 --> 00:06:48,840
Friday, which is a stat that I 
have a difficulty wrapping my 

141
00:06:48,840 --> 00:06:50,960
mind around. 
But they didn't share how this 

142
00:06:50,960 --> 00:06:53,640
compares to last year. 
What does the percentage change 

143
00:06:53,640 --> 00:06:55,520
from year over year? 
But just to put it in 

144
00:06:55,520 --> 00:06:58,640
perspective, I mean, when we 
hear online shopping numbers 

145
00:06:58,640 --> 00:07:02,200
from Adobe, they suggest. 
Sales were up 7 1/2%. 

146
00:07:02,200 --> 00:07:06,240
MasterCard says online sales 
were up 8 1/2%, and Salesforce 

147
00:07:06,240 --> 00:07:10,000
says they were up 9%. 
So how much did Amazon see an 

148
00:07:10,000 --> 00:07:12,440
increase over a year ago from 
Black Friday? 

149
00:07:14,240 --> 00:07:17,000
Again, it was our biggest Black 
Friday ever. 

150
00:07:17,000 --> 00:07:18,600
We were all about saving, you 
said. 

151
00:07:18,840 --> 00:07:20,760
That what what percentage 
increase? 

152
00:07:22,320 --> 00:07:24,920
I don't have those numbers 
handy, but we're just excited 

153
00:07:24,920 --> 00:07:27,640
that we had a great season. 
We're we're geared up for Cyber 

154
00:07:27,640 --> 00:07:29,200
Monday. 
You can tell that Amazons being 

155
00:07:29,200 --> 00:07:31,160
careful about what they share 
and what they don't share. 

156
00:07:31,160 --> 00:07:33,640
She'll not answer the question 
yet about what the percentage 

157
00:07:33,640 --> 00:07:36,440
gain was year over year. 
We just know it was the biggest 

158
00:07:36,440 --> 00:07:38,680
year ever. 
Now either way, whether Amazon 

159
00:07:38,680 --> 00:07:41,960
slightly beat their last year's 
record or whether they crushed 

160
00:07:41,960 --> 00:07:44,720
it with a year over year gain, 
we don't know that for now. 

161
00:07:44,720 --> 00:07:47,040
But we know that the stores were
not empty. 

162
00:07:47,400 --> 00:07:50,200
It was not what the videos 
showed online, the anecdotal 

163
00:07:50,200 --> 00:07:52,480
footage of people walking 
through empty locations. 

164
00:07:52,480 --> 00:07:54,440
And Amazon isn't the only 
outlier here. 

165
00:07:54,440 --> 00:07:57,720
We can also look at Shopify, 
which Amazon and Shopify are 

166
00:07:57,720 --> 00:08:00,240
similar but different. 
In a lot of ways, Amazon is the 

167
00:08:00,240 --> 00:08:04,080
centralized place for sellers to
all sell under the Amazon.com 

168
00:08:04,080 --> 00:08:06,400
URL. 
Shopify everyone sells on their 

169
00:08:06,400 --> 00:08:09,160
own unique URLs, their own 
shopping experience. 

170
00:08:09,240 --> 00:08:11,360
They can make the website look 
and feel how they want. 

171
00:08:11,360 --> 00:08:13,920
Both of them have millions of 
third party sellers selling on 

172
00:08:13,920 --> 00:08:16,800
their platform and Shopify, 
along with Amazon had an 

173
00:08:16,800 --> 00:08:18,680
incredible, record-breaking 
weekend. 

174
00:08:18,800 --> 00:08:23,400
We saw merchants crossed the $1 
billion mark before midnight EST

175
00:08:23,480 --> 00:08:26,360
on Black Friday, which was a 
couple hours earlier than last 

176
00:08:26,360 --> 00:08:28,160
year. 
And so you know while it's still

177
00:08:28,160 --> 00:08:30,600
early on Cyber Monday, I think 
the the, the, the, the thing 

178
00:08:30,600 --> 00:08:33,360
we're seeing is that shoppers 
are voting with their wallets to

179
00:08:33,360 --> 00:08:35,960
buy from brands they love both 
online and in store. 

180
00:08:35,960 --> 00:08:38,320
We can talk about in store too 
and and those brands are on 

181
00:08:38,320 --> 00:08:41,120
Shopify. 
Shopify is partnered with Amazon

182
00:08:41,120 --> 00:08:44,200
and a lot of social media 
companies to make what they call

183
00:08:44,200 --> 00:08:46,480
a retail shopping operating 
system. 

184
00:08:46,800 --> 00:08:49,920
And I do think this company has 
a very good corner of the 

185
00:08:49,920 --> 00:08:51,960
Internet. 
They have really carved out a 

186
00:08:51,960 --> 00:08:53,720
terrific business for 
themselves. 

187
00:08:53,880 --> 00:08:56,120
We're creating a retail 
operating system which means 

188
00:08:56,120 --> 00:08:59,160
whatever you want to do from 
Shopify you can do that. 

189
00:08:59,600 --> 00:09:03,200
But but you know the success of 
this Black Friday is is owned by

190
00:09:03,200 --> 00:09:05,320
our, our merchants and and 
they're doing really well. 

191
00:09:05,560 --> 00:09:08,720
You know something that I just a
new stat that I just got is over

192
00:09:08,720 --> 00:09:12,120
30,000 of our merchants. 
For them, Black Friday was their

193
00:09:12,120 --> 00:09:15,680
best sales day ever on Shopify. 
Now I'll be getting more data 

194
00:09:15,680 --> 00:09:18,840
from Amazon and Shopify after 
Cyber Monday to see how this 

195
00:09:18,840 --> 00:09:22,000
entire weekend panned out. 
So we have Amazon and Shopify. 

196
00:09:22,000 --> 00:09:25,120
And overall, the report from 
Adobe Analytics is that Black 

197
00:09:25,120 --> 00:09:29,640
Friday shopping had a 7.5% 
increase in online sales year 

198
00:09:29,640 --> 00:09:33,960
over year, a total of $9.8 
billion, a further indication 

199
00:09:33,960 --> 00:09:36,800
that price conscious consumers 
want to spend on the best deals 

200
00:09:37,200 --> 00:09:39,720
and they are looking for those 
deals online. 

201
00:09:39,840 --> 00:09:42,640
It's actually incredible to look
at the revenue by day, every 

202
00:09:42,640 --> 00:09:44,640
single day. 
Adobe's tracking the revenue 

203
00:09:44,640 --> 00:09:47,800
online with what they can see. 
And keep in mind these numbers 

204
00:09:47,800 --> 00:09:50,360
aren't exactly correct. 
They are estimates. 

205
00:09:50,560 --> 00:09:53,640
MasterCard and Visa will have 
their own analysis as well. 

206
00:09:53,880 --> 00:09:56,440
They show the same trends, but 
they're not perfectly matched. 

207
00:09:56,560 --> 00:09:59,920
On a normal given day, we have 
anywhere from 2 to $4 billion in

208
00:09:59,920 --> 00:10:03,640
revenue, and then on Black 
Friday it spikes up to 9.8 

209
00:10:03,640 --> 00:10:05,600
billion. 
So this is almost like a week's 

210
00:10:05,600 --> 00:10:08,160
worth of sale in a single 24 
hour period. 

211
00:10:08,160 --> 00:10:10,680
Another interesting thing to 
look at is the actual deals on 

212
00:10:10,680 --> 00:10:13,000
Black Friday. 
There's some people that suggest

213
00:10:13,000 --> 00:10:15,080
that there's not really any good
deals. 

214
00:10:15,320 --> 00:10:18,000
The companies aren't marking 
down their products and that is 

215
00:10:18,000 --> 00:10:20,920
not accurate, at least judging 
by Adobe Analytics. 

216
00:10:21,160 --> 00:10:23,880
They track the price of each 
item and we can see the 

217
00:10:23,880 --> 00:10:27,680
electronic toys and apparel 
typically have anywhere from a 

218
00:10:27,720 --> 00:10:31,160
zero to 5% discount leading up 
to Black Friday. 

219
00:10:31,560 --> 00:10:35,080
Then going into the week, we 
have toys discounted around 9%. 

220
00:10:35,480 --> 00:10:38,040
And then on Black Friday itself,
the prices plummet. 

221
00:10:38,200 --> 00:10:42,920
Electronics on average are 26% 
cheaper, toys are 28% cheaper 

222
00:10:43,160 --> 00:10:46,200
and apparel's 24% cheaper. 
So customers are actually 

223
00:10:46,200 --> 00:10:47,800
getting good deals on Black 
Friday. 

224
00:10:47,840 --> 00:10:50,560
Now, after seeing all the 
objective data of how successful

225
00:10:50,560 --> 00:10:53,560
Black Friday was both in 
physical retail and online 

226
00:10:53,560 --> 00:10:57,000
retail, what do we make of these
type of anecdotal videos 

227
00:10:57,280 --> 00:11:00,520
illustrating how empty all these
retail locations are? 

228
00:11:00,800 --> 00:11:04,160
And many people, hundreds of 
comments saying that the economy

229
00:11:04,160 --> 00:11:07,080
is going down the tubes, that 
nobody has money to spend, that 

230
00:11:07,080 --> 00:11:09,200
nobody's buying anything this 
weekend. 

231
00:11:09,200 --> 00:11:12,400
I think this is a clear 
illustration of being careful 

232
00:11:12,400 --> 00:11:15,960
with the anecdotal evidence 
you're receiving online, because

233
00:11:15,960 --> 00:11:18,320
in many cases it lacks full 
context. 

234
00:11:18,760 --> 00:11:22,680
Target, for example, expanded 
their Black Friday sales prior 

235
00:11:22,680 --> 00:11:26,040
in the week, so there's multiple
days of it as well as most of 

236
00:11:26,040 --> 00:11:29,480
these companies do a lot of the 
selling online, they price 

237
00:11:29,480 --> 00:11:32,200
match, they fight aggressively 
for your sales. 

238
00:11:32,480 --> 00:11:35,280
So if you're just looking at 
some pieces of evidence, like an

239
00:11:35,280 --> 00:11:38,480
opening of a company at 6:00 AM 
and concluding that the 

240
00:11:38,480 --> 00:11:41,600
economy's in trouble, I think 
you're going to be mistaken. 

241
00:11:41,640 --> 00:11:44,840
I don't have any problem with 
anecdotal research and looking 

242
00:11:44,840 --> 00:11:47,800
at things on the ground in 
person for yourself. 

243
00:11:48,200 --> 00:11:50,160
In fact, I think that's an 
important part of doing 

244
00:11:50,160 --> 00:11:52,240
research. 
Part of the reason that I first 

245
00:11:52,240 --> 00:11:55,320
looked at Texas Roadhouse was 
because I've gone to the company

246
00:11:55,480 --> 00:11:59,240
over the years, for the past 
decade, and I've just seen how 

247
00:11:59,240 --> 00:12:02,200
busy this company is every 
single weekend. 

248
00:12:02,200 --> 00:12:05,840
Without fail, it's packed. 
And I noticed that trend over 

249
00:12:05,840 --> 00:12:08,120
time. 
So that got me my initial 

250
00:12:08,120 --> 00:12:11,560
research on the company. 
That was anecdotal evidence that

251
00:12:11,560 --> 00:12:13,360
was taken from first hand 
account. 

252
00:12:13,400 --> 00:12:15,320
But the research can't end 
there. 

253
00:12:15,320 --> 00:12:18,680
You can't buy and sell just 
based off of your own anecdotal 

254
00:12:18,680 --> 00:12:21,080
experience. 
What if the Texas roadhouses 

255
00:12:21,080 --> 00:12:24,640
around my home are unusually 
busy and they're not as busy 

256
00:12:24,640 --> 00:12:26,880
other places? 
That's why I look at the actual 

257
00:12:26,880 --> 00:12:30,800
fundamentals of the company and 
see if my experience aligns with

258
00:12:30,800 --> 00:12:33,360
the overall fundamentals of the 
company, the direction it's 

259
00:12:33,360 --> 00:12:36,800
going, see if what I'm seeing is
an outlier or the norm. 

260
00:12:37,200 --> 00:12:40,320
So I not only look at how busy 
it is in my current locations 

261
00:12:40,320 --> 00:12:43,400
around my home, but I also check
different area codes and see 

262
00:12:43,400 --> 00:12:47,360
what the wait time is over in 
Texas, over in California, all 

263
00:12:47,360 --> 00:12:50,120
across the US Anecdotal 
experience can lead us into 

264
00:12:50,120 --> 00:12:52,640
great investments. 
It can initiate our start into 

265
00:12:52,640 --> 00:12:55,400
doing research on a company, but
we should have formed final 

266
00:12:55,400 --> 00:12:58,280
conclusions about a subject 
based on five second clips 

267
00:12:58,480 --> 00:13:00,520
posted online. 
And unfortunately, that's what a

268
00:13:00,520 --> 00:13:03,040
lot of people did. 
In order to spread fear and doom

269
00:13:03,040 --> 00:13:05,400
and gloom about the economy, 
they took a couple of video 

270
00:13:05,400 --> 00:13:08,000
shots of empty stores and 
concluded that that's how the 

271
00:13:08,000 --> 00:13:11,400
entire U.S. economy is doing, 
and obviously that's not the 

272
00:13:11,400 --> 00:13:13,160
case. 
So even though people love to be

273
00:13:13,160 --> 00:13:15,680
pessimistic, it sounds smarter 
to be pessimistic. 

274
00:13:15,880 --> 00:13:18,080
You sound like you're more 
educated and you're looking at 

275
00:13:18,080 --> 00:13:19,960
things with this nice skeptical 
bent. 

276
00:13:20,240 --> 00:13:23,000
I'll continue to have my 
optimistic approach because I 

277
00:13:23,000 --> 00:13:25,960
think it's correct. 
Overall, right now, people are 

278
00:13:25,960 --> 00:13:28,840
spending money, they're 
employed, they're making money, 

279
00:13:29,080 --> 00:13:31,200
people have extra money to 
spend. 

280
00:13:31,360 --> 00:13:33,960
And I believe investors that 
continue to buy good companies 

281
00:13:33,960 --> 00:13:37,080
that offer great products and 
are very competitive, they'll do

282
00:13:37,080 --> 00:13:39,640
better over time than the 
investors that continue to be 

283
00:13:39,640 --> 00:13:41,800
skeptical, pessimistic and 
dumish. 

284
00:13:41,840 --> 00:13:44,680
Now, during all of this news and
chaos over the weekend, we also 

285
00:13:44,680 --> 00:13:48,920
heard that Amazon has officially
passed up both UPS and FedEx to 

286
00:13:48,920 --> 00:13:51,840
be the biggest delivery business
in the US. 

287
00:13:51,960 --> 00:13:55,600
A decade ago, Amazon was a major
customer of UPS and FedEx, and 

288
00:13:55,600 --> 00:13:58,560
some executives from the 
incumbents and analysts mocked 

289
00:13:58,560 --> 00:14:02,280
the notion mock the Amazon could
someday supplant them. 

290
00:14:02,360 --> 00:14:04,600
And if we put up the growth here
over time, it's actually 

291
00:14:04,600 --> 00:14:08,520
incredible to see how fast 
Amazon has caught up to UPSU. 

292
00:14:08,520 --> 00:14:12,240
PS: went up a little bit from 
2019 to 2020, then it basically 

293
00:14:12,240 --> 00:14:16,840
had a flat year from 20 to 21. 
While UPS was having that flat 

294
00:14:16,840 --> 00:14:20,680
year, Amazon delivered over a 
billion extra parcels year over 

295
00:14:20,680 --> 00:14:22,440
year. 
So Amazon made substantial 

296
00:14:22,440 --> 00:14:26,000
gains. 
And then from 2021 to 2022, UPS 

297
00:14:26,000 --> 00:14:28,960
actually had a down year, while 
again Amazon made substantial 

298
00:14:28,960 --> 00:14:30,840
gains. 
Now I can't say that I'm shocked

299
00:14:30,840 --> 00:14:32,720
by this trend. 
I've said for a while that 

300
00:14:32,720 --> 00:14:35,320
Amazon will engulf UPS and 
FedEx. 

301
00:14:35,680 --> 00:14:38,160
Right now, I think there's going
to be a strategic shift. 

302
00:14:38,160 --> 00:14:40,880
UPS and FedEx are going to move 
away from delivering standard 

303
00:14:40,880 --> 00:14:43,040
packages and items that Amazon 
delivers. 

304
00:14:43,240 --> 00:14:45,560
I think they'll still focus on 
delivering furniture and home 

305
00:14:45,560 --> 00:14:48,960
appliances, big and bulky things
that Amazon isn't focusing on. 

306
00:14:48,960 --> 00:14:51,920
But I predict over time UPS and 
FedEx will have their growth 

307
00:14:51,920 --> 00:14:55,720
halted and be stagnant over the 
next five years as Amazon 

308
00:14:55,720 --> 00:14:57,800
continues to grow. 
Now moving on from all the Black

309
00:14:57,800 --> 00:15:01,000
Friday news, we also have news 
of the overall economy and stock

310
00:15:01,000 --> 00:15:03,280
market. 
For example, the stock market 

311
00:15:03,280 --> 00:15:06,440
this year is up around 18%. 
It's been a great year to be an 

312
00:15:06,440 --> 00:15:08,920
investor. 
My Portfolio for reference is 

313
00:15:08,920 --> 00:15:13,080
around 22% time weighted return 
this year and 23% money 

314
00:15:13,080 --> 00:15:15,000
weighted. 
So it's had a great performance 

315
00:15:15,000 --> 00:15:19,080
year to date. 
That's $93,000 in the green now.

316
00:15:19,080 --> 00:15:21,840
Anytime the stock market races 
up in a year like this, 

317
00:15:22,320 --> 00:15:25,160
investors can become 
apprehensive about buying. 

318
00:15:25,160 --> 00:15:28,520
Now they can become a little bit
more restrictive, but in some 

319
00:15:28,520 --> 00:15:30,400
cases, that's not the best 
decision. 

320
00:15:30,760 --> 00:15:34,520
There's a lot of people that 
predicted that 2023 would be a 

321
00:15:34,520 --> 00:15:38,080
bad year to be an investor, that
the stock market was going to go

322
00:15:38,080 --> 00:15:42,040
down, the bear market was going 
to continue, the valuations were

323
00:15:42,040 --> 00:15:44,280
far too high and there would not
be a rebound. 

324
00:15:44,680 --> 00:15:48,880
And they've all been proven 
incredibly wrong on this topic. 

325
00:15:49,320 --> 00:15:53,640
But despite being objectively 
proven wrong for 2023, they 

326
00:15:53,640 --> 00:15:56,600
don't admit they're wrong. 
They just say that it's going to

327
00:15:56,600 --> 00:15:59,640
happen next year. 
That's when the big stock market

328
00:15:59,640 --> 00:16:02,840
crash is going to happen. 
Bears are never wrong. 

329
00:16:02,880 --> 00:16:06,320
They're always just a bit early 
and they always push back their 

330
00:16:06,320 --> 00:16:09,520
claims The next year. 
We're seeing that happen yet 

331
00:16:09,520 --> 00:16:11,120
again. 
Right now, we actually have 

332
00:16:11,120 --> 00:16:13,760
evidence that investors can 
continue spending more. 

333
00:16:13,840 --> 00:16:17,320
This year, investors are plowing
cash into stocks and bond funds.

334
00:16:17,600 --> 00:16:20,920
Invesco's QQQ exchange traded 
fund, which tracks the tech 

335
00:16:20,920 --> 00:16:24,920
heavy NASDAQ 100 index, reported
its largest weekly inflow in 

336
00:16:24,920 --> 00:16:27,120
history the week of November 
13th. 

337
00:16:27,120 --> 00:16:29,760
Funds that track the high yield 
bond indexes, the higher risk 

338
00:16:29,760 --> 00:16:32,680
portion of the corporate bond 
market, reported two highest 

339
00:16:32,680 --> 00:16:35,480
weekly inflow records in the 
middle of November. 

340
00:16:35,480 --> 00:16:37,800
So we know right now a lot of 
investors are buying stocks. 

341
00:16:37,800 --> 00:16:41,240
That's why prices are going up 
and a lot of investors have huge

342
00:16:41,240 --> 00:16:44,480
cash balances and money market 
funds earning A yield there. 

343
00:16:44,760 --> 00:16:48,600
They say for the first time in a
long time, cash is a competitor 

344
00:16:48,680 --> 00:16:50,080
quote. 
But I think as soon as short 

345
00:16:50,080 --> 00:16:52,760
term rates start to tick down, 
you're going to see large 

346
00:16:52,760 --> 00:16:56,200
inflows to other assets. 
So people are parking their 

347
00:16:56,200 --> 00:16:59,000
money in cash right now, but 
they're not going to want to sit

348
00:16:59,000 --> 00:17:01,240
it there forever. 
I think there's multiple ways to

349
00:17:01,240 --> 00:17:04,000
view this data, but I think it's
ultimately bullish for stocks 

350
00:17:04,000 --> 00:17:06,640
that people have a lot of cash. 
That means that there's more 

351
00:17:06,640 --> 00:17:09,960
money sitting on the sidelines 
for if a dip happens in the 

352
00:17:09,960 --> 00:17:12,680
future. 
If we do have some type of 5% or

353
00:17:12,680 --> 00:17:16,240
10% pull back, a lot of people 
have a cash balance to buy up 

354
00:17:16,240 --> 00:17:19,880
that pullback, making a long 
sustained bear market less 

355
00:17:19,880 --> 00:17:22,560
likely. 
So even though right now cash is

356
00:17:22,560 --> 00:17:25,760
a competitor, I still see it as 
a positive thing that so many 

357
00:17:25,760 --> 00:17:27,839
people have cash. 
Now moving on, we have to 

358
00:17:27,839 --> 00:17:30,800
address this post from our 
favorite senator, Elizabeth 

359
00:17:30,800 --> 00:17:33,280
Warren. 
Elizabeth Warren has become a 

360
00:17:33,320 --> 00:17:35,800
bad take machine. 
Most recently, she's gone on a 

361
00:17:35,800 --> 00:17:38,360
campaign against buybacks, 
illustrating that she doesn't 

362
00:17:38,360 --> 00:17:41,360
understand how they function in 
the capital markets or the 

363
00:17:41,360 --> 00:17:43,720
consequences of them. 
But out of all the bad takes 

364
00:17:43,720 --> 00:17:46,400
she's given, I think this one 
might finally take the cake. 

365
00:17:46,760 --> 00:17:49,560
Let me go ahead and read this, 
and this is a direct quote. 

366
00:17:49,920 --> 00:17:52,440
We don't need another private 
equity deal that could lead to 

367
00:17:52,440 --> 00:17:54,240
higher food prices for 
consumers. 

368
00:17:54,600 --> 00:17:58,320
The FTC is right to investigate 
whether the purchase of Subway 

369
00:17:58,640 --> 00:18:01,880
by the same firm that owns Jimmy
John's and McAllister Deli 

370
00:18:02,280 --> 00:18:05,040
creates a sandwich shop 
monopoly. 

371
00:18:05,560 --> 00:18:08,280
Yes, you heard that right. 
That is the exact words. 

372
00:18:08,680 --> 00:18:12,000
She's concerned that a company 
that owns both Subway and Jimmy 

373
00:18:12,000 --> 00:18:15,400
John's is going to create a 
sandwich shop monopoly. 

374
00:18:15,520 --> 00:18:18,200
So no longer is Congress 
concerned about the industrial 

375
00:18:18,200 --> 00:18:21,040
military complex. 
No longer are they concerned 

376
00:18:21,040 --> 00:18:24,080
about abusive billing practices 
from pharmaceutical companies 

377
00:18:24,360 --> 00:18:26,800
that hold products that are 
available nowhere else. 

378
00:18:26,800 --> 00:18:30,360
But they're concerned about one 
of the most commoditized items 

379
00:18:30,360 --> 00:18:34,680
in the world, a sandwich. 
A deli sandwich, which is 

380
00:18:34,680 --> 00:18:37,880
available at every retail 
location, available at every 

381
00:18:37,880 --> 00:18:41,440
deli, the most purchased food 
item in the world being a 

382
00:18:41,440 --> 00:18:44,240
monopoly because two chains are 
owned by the same owner. 

383
00:18:44,360 --> 00:18:46,520
Now you know me, I'm a big fan 
of monopolies. 

384
00:18:46,520 --> 00:18:49,200
In fact, I try to invest in 
monopolies when I can. 

385
00:18:49,280 --> 00:18:51,720
A lot of the companies that I 
own, like S&P Global and 

386
00:18:51,720 --> 00:18:55,200
MasterCard and Intuit, have very
monopolistic characteristics. 

387
00:18:55,200 --> 00:18:57,880
They have dominant market share.
They have very concentrated 

388
00:18:57,880 --> 00:18:59,760
industries. 
They're at the very top of the 

389
00:18:59,760 --> 00:19:01,800
food chain. 
Their companies have incredibly 

390
00:19:01,800 --> 00:19:04,680
high barriers to entry, and you 
can't really get their products 

391
00:19:04,680 --> 00:19:07,120
many other places. 
That's the characteristic of a 

392
00:19:07,120 --> 00:19:08,880
monopoly. 
Out of all the companies that I 

393
00:19:08,880 --> 00:19:10,920
own, most of them are 
monopolistic. 

394
00:19:10,920 --> 00:19:13,840
But there's a couple that are 
not monopolistic at all. 

395
00:19:13,840 --> 00:19:17,560
Food joints are not monopolies, 
and I've never referred to Texas

396
00:19:17,560 --> 00:19:21,280
Roadhouse as a monopolistic 
company, or Chipotle for that 

397
00:19:21,280 --> 00:19:23,760
matter. 
They have brand value, they have

398
00:19:23,760 --> 00:19:26,520
name brand recognition. 
They offer a good product at a 

399
00:19:26,520 --> 00:19:29,000
good price, so people are 
willing to pay for it. 

400
00:19:29,360 --> 00:19:33,160
They do have rapid store 
expansion, but they also have a 

401
00:19:33,160 --> 00:19:36,240
characteristic that many 
monopolies do not have, which is

402
00:19:36,240 --> 00:19:40,640
intense, fierce competition 
every single day at every single

403
00:19:40,640 --> 00:19:43,680
location. 
There are many alternatives to 

404
00:19:43,680 --> 00:19:46,480
Chipotle and Texas Roadhouse, 
just like there's many 

405
00:19:46,480 --> 00:19:48,520
alternatives to Subway and Jimmy
John's. 

406
00:19:48,600 --> 00:19:51,280
Even in the sandwich category 
alone, there's many 

407
00:19:51,280 --> 00:19:53,240
alternatives. 
But outside of the sandwich 

408
00:19:53,240 --> 00:19:56,240
category, there's literally 
thousands of food joints to go 

409
00:19:56,240 --> 00:19:58,600
to. 
But there you have in 2023, the 

410
00:19:58,600 --> 00:20:02,440
big concern for Elizabeth Warren
is the quote sandwich shop 

411
00:20:02,440 --> 00:20:04,200
Monopoly. 
That's all for this time. 

412
00:20:04,280 --> 00:20:05,040
See you in the next one.
